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Scalable row-level multi-tenancy for Django with PostgreSQL Row Level Security.

PyPI GitHub Changelog pip install django-boundary

Who Is This For?

django-boundary is for Django projects that serve multiple tenants from a single database. If your users belong to organisations, workspaces, teams, schools, clinics, clubs, or any other entity that should only see its own data, boundary handles the isolation.

Common use cases

SaaS platforms: Each customer (organisation, workspace, account) is a tenant. Their data is isolated at the ORM and database level. New tenants are provisioned via management command; no schema migrations required.

Marketplace platforms: Sellers, venues, or merchants each have their own tenant. Products, orders, and analytics are scoped per-tenant. Platform-wide reporting uses the unscoped manager.

Education / healthcare / government: Schools, clinics, or departments are tenants. Data residency requirements are met via regional routing (e.g. UK data stays in UK database, EU data in EU database).

Agency or white-label products: Each client gets their own tenant, resolved by subdomain (client-a.app.com) or JWT claim from the auth provider.

Internal tools: Departments or business units are tenants, resolved via session or header. STRICT_MODE catches accidental cross-department data exposure during development.

What boundary does not do

  • Authentication, session management or login. That is your own auth stack. boundary's resolvers read an already-authenticated request; they never authenticate one.
  • Membership, RBAC or authorisation. Resolving a tenant is not authorising a caller against it. Your project, or icv-tenants for ICV ecosystem consumers, owns that check.
  • Providing the tenant domain model itself. You define your own tenant model and point BOUNDARY_TENANT_MODEL at it, or use the bundled AbstractTenant convenience base.
  • Non-PostgreSQL Row Level Security. The ORM filtering layer works on any Django-supported database, but RLS enforcement requires PostgreSQL 14+, with no database-level backstop elsewhere. The RLS migration operations are a logged no-op there rather than an error, so the same migration files run on a SQLite development database.
  • Cross-region data migration. Moving a tenant's data from one regional database to another is your own operational tooling.
  • Frontend, API or Django admin components. You wire your own admin and views to use the unscoped manager or tenant-filtered querysets.

When NOT to use boundary

  • Single-tenant apps: no need for isolation machinery.
  • Schema-per-tenant: use django-tenants instead (different trade-offs at scale).

Features

  • Automatic ORM filtering: queries are scoped to the active tenant by default
  • PostgreSQL RLS: database-level enforcement as a second layer of defence
  • Async-native: context propagation via contextvars, works with sync and async Django
  • Pluggable resolvers: subdomain, header, JWT claim, session, or custom
  • Strict mode: raises on unscoped queries (default: on), catches data leaks at development time
  • Regional routing: route queries to geographically distinct databases for data residency compliance
  • Celery integration: tenant context propagated via task headers, restored on workers
  • Management commands: provision, deprovision (with NDJSON export), scoped run, run-all with parallelism
  • Test utilities: set_tenant(), TenantTestMixin, tenant_factory()
  • System checks: validates configuration at startup
  • Optional LEAKPROOF RLS functions: opt-in planner optimisation (off by default so RLS migrations run on managed Postgres)
  • Zero assumptions: no opinion on auth, URL structure, or domain model

Installation

pip install django-boundary

Add to INSTALLED_APPS:

INSTALLED_APPS = [
    ...
    "boundary",
    ...
]

Quick Start

1. Define your tenant model

# tenants/models.py
from boundary.models import AbstractTenant

class Organisation(AbstractTenant):
    # Inherits: name, slug, region, is_active, created_at, updated_at
    plan = models.CharField(max_length=50, default="free")

2. Configure settings

# settings.py
BOUNDARY_TENANT_MODEL = "tenants.Organisation"
BOUNDARY_STRICT_MODE = True  # default: raises on unscoped queries

# Resolver chain: first match wins.
# For public-facing apps, SubdomainResolver should be first.
BOUNDARY_RESOLVERS = [
    "boundary.resolvers.SubdomainResolver",
]

3. Add middleware

MIDDLEWARE = [
    "django.middleware.security.SecurityMiddleware",
    "boundary.middleware.TenantMiddleware",  # before session/auth
    "django.contrib.sessions.middleware.SessionMiddleware",
    ...
]

4. Make models tenant-scoped

# bookings/models.py
from boundary.models import TenantModel

class Booking(TenantModel):
    court = models.IntegerField()
    start_time = models.DateTimeField()

Booking.objects.all() now automatically filters by the active tenant. Creating a booking auto-populates the tenant field from context. That is the ORM layer. Add the database layer before you ship.

5. Turn on Row Level Security (PostgreSQL)

Write the migration by hand, in the app owning the model (python manage.py makemigrations bookings --empty --name rls):

from boundary.migrations_ops import CreateTenantPolicy, EnableRLS

operations = [
    EnableRLS("Booking"),
    CreateTenantPolicy("Booking"),
]

Apply it, then confirm python manage.py check reports neither boundary.E006 nor boundary.W003. Connect as a NOSUPERUSER NOBYPASSRLS role: superusers and BYPASSRLS roles are exempt from every policy, so the layer exists but enforces nothing for them.

The same migration runs on SQLite. EnableRLS, CreateTenantPolicy and DropTenantPolicy apply on PostgreSQL and are a logged no-op on any other backend: one logger.info line each on the boundary.migrations logger naming the operation, the model, the alias and the vendor, then no DDL and no error. So you write this migration once and run it unchanged against a SQLite development database and a PostgreSQL production one, with no backend conditional and no router. Your model keeps its ORM-layer tenant filtering on SQLite; it is the RLS layer, and only that, which is absent there.

AdoptTenantApp is the one operation that still refuses off PostgreSQL, because an adopted table has no ORM layer beneath the policy and would be left with no isolation at all rather than reduced isolation. See Add RLS policies with migrations for the migrating-role caveats and verification.


Example Configurations

SaaS with subdomain routing

Each customer gets a subdomain: acme.app.com, globex.app.com.

# models.py
class Workspace(AbstractTenant):
    plan = models.CharField(max_length=20, default="starter")
    max_users = models.IntegerField(default=5)

class Project(TenantModel):
    name = models.CharField(max_length=200)

class Task(TenantModel):
    project = models.ForeignKey(Project, on_delete=models.CASCADE)
    title = models.CharField(max_length=200)
    completed = models.BooleanField(default=False)

# settings.py
BOUNDARY_TENANT_MODEL = "core.Workspace"
BOUNDARY_RESOLVERS = ["boundary.resolvers.SubdomainResolver"]
# In a view: no tenant filtering needed, it's automatic
def dashboard(request):
    projects = Project.objects.all()  # only this workspace's projects
    tasks = Task.objects.filter(completed=False)  # only this workspace's tasks
    return render(request, "dashboard.html", {"projects": projects, "tasks": tasks})

API with JWT-based tenancy

A React/mobile frontend sends a JWT containing the tenant ID. Useful for single-page apps where subdomains aren't practical.

# settings.py
BOUNDARY_TENANT_MODEL = "accounts.Account"
BOUNDARY_RESOLVERS = [
    "boundary.resolvers.JWTClaimResolver",  # reads tenant_id from JWT
]
BOUNDARY_JWT_CLAIM = "org_id"  # custom claim name

The JWT is validated by your auth middleware (DRF, django-allauth, etc.). Boundary only reads the claim; it never validates signatures.

Marketplace with seller isolation

Sellers manage their own products, orders, and inventory. Platform admins see everything via the unscoped manager.

class Seller(AbstractTenant):
    contact_email = models.EmailField()
    stripe_account_id = models.CharField(max_length=100, blank=True)

class Product(TenantModel):
    name = models.CharField(max_length=200)
    price = models.DecimalField(max_digits=10, decimal_places=2)

class Order(TenantModel):
    product = models.ForeignKey(Product, on_delete=models.PROTECT)
    quantity = models.IntegerField()

# settings.py
BOUNDARY_TENANT_MODEL = "sellers.Seller"
BOUNDARY_RESOLVERS = [
    "boundary.resolvers.HeaderResolver",  # internal API, trusted clients
]
# Seller's view: only sees their own products
def my_products(request):
    return Product.objects.all()

# Admin analytics: sees all sellers
def platform_revenue():
    return Order.unscoped.aggregate(total=Sum("product__price"))

Multi-region with data residency

UK customer data must stay in the UK database; EU data in the EU database.

# settings.py
BOUNDARY_TENANT_MODEL = "orgs.Organisation"
BOUNDARY_REGIONS = {
    "uk":      {"ENGINE": "django.db.backends.postgresql", "HOST": "uk.db.example.com", ...},
    "eu-west": {"ENGINE": "django.db.backends.postgresql", "HOST": "eu.db.example.com", ...},
    "us-east": {"ENGINE": "django.db.backends.postgresql", "HOST": "us.db.example.com", ...},
}
DATABASE_ROUTERS = ["boundary.routing.RegionalRouter"]
# Tenant has region="uk": all queries automatically hit the UK database
with TenantContext.using(uk_tenant):
    Patient.objects.create(name="Smith", nhs_number="123")  # stored in UK DB

# Platform-wide reporting across all regions
from boundary.routing import all_regions
with all_regions() as aliases:
    for alias in aliases:
        count = Patient.objects.using(alias).count()
        print(f"{alias}: {count} patients")

Internal tool with session-based switching

Staff users switch between departments via a dropdown. The selected department is stored in the session.

# settings.py
BOUNDARY_TENANT_MODEL = "departments.Department"
BOUNDARY_REQUIRED = False  # allow unauthenticated pages
BOUNDARY_RESOLVERS = [
    "boundary.resolvers.SessionResolver",
]
# Switch department view
def switch_department(request, dept_id):
    dept = Department.objects.get(pk=dept_id)
    request.session["boundary_tenant_id"] = str(dept.pk)
    return redirect("dashboard")

How It Works

Architecture

  HTTP Request / Celery Task / Management Command
           |
           v
  RESOLUTION LAYER: TenantMiddleware + pluggable Resolvers
           |
           v
  CONTEXT LAYER: TenantContext (ContextVar + DB session variable)
           |
           v
  ORM LAYER: TenantManager auto-filters every queryset
           |
           v
  ROUTING LAYER (optional): RegionalRouter per-tenant DB alias
           |
           v
  DATABASE LAYER: PostgreSQL RLS policies (defence in depth)

Every layer below RESOLUTION LAYER faithfully enforces isolation for whichever tenant was resolved. None of them ask whether the caller is allowed to act as that tenant: that is what RESOLUTION LAYER decides, and for a client-controlled resolver (HeaderResolver, JWTClaimResolver) it decides purely from what the client sent. boundary's isolation guarantee is "every layer scopes to the resolved tenant correctly", not "the resolved tenant is the one this caller is allowed to see". Closing that second gap (authenticating the caller, then checking their membership of the resolved tenant) is the consumer's responsibility; see Resolvers and Enforce membership after resolution.

Defence in Depth

Two independent layers enforce tenant isolation:

  1. ORM layer: TenantManager filters every queryset by the active tenant. This catches standard Django ORM usage.
  2. PostgreSQL RLS: Row Level Security policies enforce isolation at the database level, catching raw SQL, third-party packages, and ORM bugs.

A bug in one layer is caught by the other. This RLS layer only exists for models with their own tenant column (TenantMixin / make_tenant_mixin). Relation-scoped (path-scoped) models built with make_tenant_path_mixin are protected at the ORM layer only: see Scope a model through a relation for the exact contract before relying on RLS to catch direct SQL against one.


Models

AbstractTenant

Convenience base for your tenant model. Provides common fields:

Field Type Description
name CharField(200) Tenant name
slug SlugField(unique) URL-safe identifier
region CharField(50) Regional routing key (blank if single-region)
is_active BooleanField Inactive tenants are rejected by middleware (403)
created_at DateTimeField Auto-set on creation
updated_at DateTimeField Auto-set on save

TenantModel / TenantMixin

Base class for tenant-scoped data models. Adds:

  • tenant ForeignKey to your tenant model (CASCADE, non-nullable)
  • objects: TenantManager that auto-filters by active tenant
  • unscoped: plain Manager for cross-tenant operations (admin, analytics)
class Booking(TenantModel):
    court = models.IntegerField()

Auto-populate on save: When no tenant is set explicitly, TenantModel.save() reads from TenantContext automatically.

Bulk operations: - bulk_create(): auto-populates tenant on objects where tenant_id is None - bulk_update(): validates all objects belong to the active tenant

Custom FK Field Names: make_tenant_mixin()

If your domain uses a different name for the tenant relationship (e.g. merchant, organisation, workspace), use the factory instead of TenantMixin:

from boundary.models import make_tenant_mixin

MerchantMixin = make_tenant_mixin("merchant")

class Product(MerchantMixin):
    sku = models.CharField(max_length=50)

# Product.merchant is the FK: auto-filtering, auto-populate, bulk ops all work
# Product.objects.all() : filters by active tenant via the "merchant" field
# product.merchant      : returns the tenant instance

The factory accepts the same FK options as Django's ForeignKey:

make_tenant_mixin(
    "merchant",
    on_delete=models.PROTECT,       # default: CASCADE
    related_name="products",        # default: "%(app_label)s_%(class)s_set"
    db_index=True,                  # default: True
    null=False,                     # default: False
)

Alternatively, set BOUNDARY_TENANT_FK_FIELD in your settings to change the default field name globally. TenantMixin itself always uses "tenant", but the factory reads the setting when no explicit fk_field is passed.

Static typing and make_tenant_mixin() / make_tenant_path_mixin()

TenantModel / TenantMixin are ordinary module-level classes: mypy with the django-stubs plugin resolves objects, unscoped, and the tenant FK on any model built from them with no extra configuration.

make_tenant_mixin() and make_tenant_path_mixin() build and return a class from inside a function call. This is a hard mypy limitation, not a gap in boundary's types: mypy rejects any base class that is a function call (or a variable holding one) at the semantic-analysis stage, before plugins run (Unsupported dynamic base class / Invalid base class), and there is no annotation or stub shape that changes this. A model built from the factory will type-check as follows:

from boundary.models import make_tenant_mixin

MerchantMixin = make_tenant_mixin("merchant")


class Product(MerchantMixin):  # type: ignore[valid-type,misc]
    sku = models.CharField(max_length=50)

Product.objects / Product.unscoped then type as Any rather than TenantManager[Product] / UnscopedManager[Product] — no false positives, but no manager-level type safety either. Separately, the tenant model on the other end of the relationship needs its own narrow suppression for the reverse accessor django-stubs cannot synthesise for a runtime-attached FK:

class Merchant(models.Model):  # type: ignore[django-manager-missing]
    name = models.CharField(max_length=200)

If a model's FK field name can be "tenant", prefer TenantModel / TenantMixin over the factory: it is fully type-checked with none of the above. Reserve make_tenant_mixin() for genuinely custom FK names, and make_tenant_path_mixin() for path-scoped models, accepting the two suppressions above under django-stubs.

Custom Terminology

Boundary error messages, verbose_name on FK fields, and middleware HTTP responses all use a configurable label. By default the label tracks BOUNDARY_TENANT_FK_FIELD, so a single setting changes everything:

# settings.py
BOUNDARY_TENANT_FK_FIELD = "merchant"
# → "No merchant is active in context."
# → 404 body: "Merchant not found."
# → FK verbose_name: "merchant"

To override independently, set BOUNDARY_TENANT_LABEL (used in user-facing strings) and/or BOUNDARY_REQUEST_ATTR (the alias attached to the request alongside request.tenant):

BOUNDARY_TENANT_FK_FIELD = "merchant"   # FK column name
BOUNDARY_TENANT_LABEL = "shop"          # error/UI copy says "shop"
BOUNDARY_REQUEST_ATTR = "merchant"      # views read request.merchant

request.tenant is always set for backwards compatibility; the alias is added in addition, never as a replacement.

Model Introspection

from boundary.models import is_tenant_model, get_tenant_fk_field

is_tenant_model(Product)       # True
get_tenant_fk_field(Product)   # "merchant"

is_tenant_model(Booking)       # True
get_tenant_fk_field(Booking)   # "tenant"

System checks, regional routing, and RLS verification all use is_tenant_model() internally, so custom FK models are automatically recognised.

Per-tenant uniqueness: tenant_unique()

unique=True on a field of a tenant-scoped model is enforced across every tenant, not within one, so two tenants cannot both hold an invoice with reference INV-001. tenant_unique() returns a UniqueConstraint whose columns are the model's tenant foreign key followed by the fields you give:

from boundary.models import TenantModel, tenant_unique


class Invoice(TenantModel):
    reference = models.CharField(max_length=32)     # not unique=True

    class Meta:
        constraints = [tenant_unique("reference")]

The tenant field is read off the model when Django prepares it, not when the Meta body runs, so the same call resolves to ("merchant", "reference") on a model built from make_tenant_mixin("merchant") without naming the field twice. Pass name= to control the constraint name; without one, boundary derives a deterministic name from the model and the field list. A path-scoped model (make_tenant_path_mixin()) has no tenant column to lead with, so the helper raises when that model class is prepared.

See Uniqueness within a tenant for the migration consequences of converting an existing global constraint.

Cross-tenant foreign key validation

A row correctly scoped to tenant A can still hold a foreign key pointing at tenant B's row. Neither isolation layer catches that on its own: the row's own tenant_id is A, so the ORM filter passes it and the RLS policy predicate is satisfied. Tenant-scoped models therefore validate their foreign keys on clean():

booking = Booking(tenant=tenant_a, venue=venue_owned_by_tenant_b)
booking.full_clean()   # ValidationError, keyed by the FK field

Only foreign keys whose target is itself tenant-scoped and owns a local tenant column are checked. A foreign key to auth.User or a lookup table is skipped, as is a None value, and the comparison is against the instance's own tenant rather than the active context, so an admin or import path operating on another tenant's row is not falsely rejected.

This fires on full_clean() paths only, most notably ModelForm validation. Django does not call clean() from save(), bulk_create(), update(), bulk_update() or raw SQL, so a cross-tenant foreign key assigned through any of those is written with the reference intact. Where your writes go through save() in a service function rather than a form, validate explicitly. See Isolation layers for the full threat model.

Adopting a third-party app

The models above are ones you declare. A third-party app that ships concrete models and owns its migrations (allauth, taggit, wagtail) gives you nothing to compose a mixin onto. Those apps are scoped at the database layer instead: list the app label in BOUNDARY_TENANT_APPS and apply one AdoptTenantApp operation from a migration in your own app.

# settings.py
BOUNDARY_TENANT_APPS = ["account"]

# myapp/migrations/0007_adopt_allauth_account.py
from boundary.migrations_ops import AdoptTenantApp

operations = [AdoptTenantApp("account")]

Each adopted table gains a tenant_id column that no Django field models, declared NOT NULL DEFAULT boundary_current_tenant_id(), with RLS enabled and forced, both boundary policies, and every non-primary-key unique constraint rewritten to a composite leading with tenant_id. The adopted package is not modified, forked, or made aware of any of this.

The trade is explicit and permanent: adopted tables are RLS-only. No ORM filtering, no BOUNDARY_STRICT_MODE, no TenantNotSetError, and no isolation at all on a non-PostgreSQL backend. boundary.E007 and a real-PostgreSQL test suite carry the whole burden. A populated table is refused without an explicit backfill_tenant, and reversing an adoption destroys the tenant assignment of every row.

See Adopt a third-party app into your tenancy for the full procedure, the deny-list, the bootstrap paths that need a tenant context, and the limits in full. Where the package does ship a swappable abstract base, prefer Scope a package's models into your tenancy, which gives you both isolation layers.


Context

TenantContext

The core API for tenant context management:

from boundary.context import TenantContext

# Set and get
token = TenantContext.set(tenant)
tenant = TenantContext.get()       # returns tenant or None
tenant = TenantContext.require()   # returns tenant or raises TenantNotSetError
TenantContext.clear(token)

# Context manager (recommended)
with TenantContext.using(tenant):
    Booking.objects.all()  # filtered to this tenant
# Context automatically restored on exit

The context manager is savepoint-safe: it explicitly restores the DB session variable on exit rather than relying on PostgreSQL savepoint rollback.

Admin Bypass

admin_bypass() is the only supported way to set the RLS admin bypass flag (BOUNDARY_ADMIN_FLAG_VAR, default app.boundary_admin). It hardcodes the transaction-local form of set_config, so the unsafe session-scoped form (which can outlive a transaction and leak across pooled or reused connections) is not reachable through this API:

from boundary.context import admin_bypass

with admin_bypass():
    # Full read/write access across every tenant in this block, even with
    # FORCE ROW LEVEL SECURITY on the table. Clears automatically on exit.
    Booking.unscoped.filter(court=1).update(is_paid=True)

The flag grants both visibility AND write access: the boundary_admin_bypass policy has no WITH CHECK, so PostgreSQL uses its USING clause for write checks too, and permissive policies are OR'd, so this policy alone is sufficient regardless of boundary_tenant_isolation's own WITH CHECK. Treat it as full cross-tenant access, not a read-only viewer.

Fires boundary.signals.admin_bypass_activated on entry (flag variable name and DB alias) for audit trails. Nested calls on the same alias are idempotent; only the outermost call clears the flag on exit. See the docstring on admin_bypass() for the full contract, including the BOUNDARY_WRAP_ATOMIC=False case and multi-region use with all_regions(). See also Cross-tenant admin operations.


Resolvers

Resolvers determine which tenant applies to an incoming request. Configure via BOUNDARY_RESOLVERS; first match wins.

Resolver Source Setting Client-controlled?
SubdomainResolver club.example.com -> slug lookup BOUNDARY_SUBDOMAIN_FIELD, BOUNDARY_SUBDOMAIN_PARENT_DOMAIN No (constrained by ALLOWED_HOSTS, and by BOUNDARY_SUBDOMAIN_PARENT_DOMAIN when set)
HeaderResolver X-Tenant-ID header (UUID first, slug fallback) BOUNDARY_HEADER_NAME Yes
JWTClaimResolver JWT payload claim (no signature validation) BOUNDARY_JWT_CLAIM Yes
SessionResolver Django session key BOUNDARY_SESSION_KEY No, provided the session key is only ever set server-side after its own check
ExplicitResolver request.boundary_tenant set by upstream code None No

Resolution is not authorisation. boundary resolves which tenant a request targets; it does not check whether the caller may access it. With HeaderResolver or JWTClaimResolver an authenticated user of one tenant can simply name another and every layer beneath resolution scopes correctly to it. Verifying that the authenticated principal is a member of the resolved tenant is the consumer's responsibility; see Enforce membership after resolution. boundary.W006 warns when a client-controlled resolver is configured alongside django.contrib.auth.

ALLOWED_HOSTS alone is not a domain boundary. SubdomainResolver resolves the first label of any host with three or more labels, including a foreign, customer-owned domain that happens to pass ALLOWED_HOSTS and whose first label collides with a tenant slug. Set BOUNDARY_SUBDOMAIN_PARENT_DOMAIN to constrain resolution to your own domain(s); see Constrain SubdomainResolver to your own domain. boundary.W008 warns when SubdomainResolver is configured without it.

Security note: Resolver ordering determines precedence. Placing HeaderResolver first allows any HTTP client to set the tenant via header. For public-facing apps, place SubdomainResolver first. This is about precedence within the chain, and is a narrower concern than the authorisation gap above: it applies regardless of ordering.

Custom resolvers

from boundary.resolvers import BaseResolver

class PathResolver(BaseResolver):
    def resolve(self, request):
        parts = request.path.split("/")
        if len(parts) >= 3 and parts[1] == "t":
            TenantModel = self.get_tenant_model()
            try:
                return TenantModel.objects.get(slug=parts[2], is_active=True)
            except TenantModel.DoesNotExist:
                return None
        return None

Resolver cache

Resolvers that perform DB lookups cache results in a process-local LRU cache. Cache is invalidated automatically on tenant save/delete via Django signals, and by TTL (default: 60 seconds).


Row Level Security

RLS provides database-level enforcement independent of application code.

Migration operations

# In your migration file
from boundary.migrations_ops import EnableRLS, CreateTenantPolicy

class Migration(migrations.Migration):
    operations = [
        migrations.CreateModel(name="Booking", ...),
        EnableRLS("Booking"),
        CreateTenantPolicy("Booking"),
    ]

CreateTenantPolicy generates: - A helper function (boundary_current_tenant_id()) that safely casts the session variable to the correct type. Declared LEAKPROOF only when BOUNDARY_FUNCTION_LEAKPROOF is set (default off, because LEAKPROOF needs a superuser that managed Postgres does not grant); it is a planner optimisation, not an isolation requirement - An isolation policy with USING + WITH CHECK (enforces on SELECT, INSERT, UPDATE, DELETE) - An admin bypass policy for management commands

Type-aware

The RLS function detects whether your tenant model uses UUID or integer primary keys and generates the appropriate type cast.

Reversible

All operations are fully reversible via migrate --reverse.


Regional Routing

Route queries to geographically distinct databases for data residency compliance.

# settings.py
BOUNDARY_REGIONS = {
    "eu-west": {"ENGINE": "django.db.backends.postgresql", "HOST": "eu.db.example.com", ...},
    "us":      {"ENGINE": "django.db.backends.postgresql", "HOST": "us.db.example.com", ...},
}

DATABASE_ROUTERS = ["boundary.routing.RegionalRouter"]

Tenant-scoped queries are routed to the tenant's region. Non-tenant models (auth, sessions, etc.) always route to default.

from boundary.routing import all_regions, specific_region

# Iterate all regions
with all_regions() as aliases:
    for alias in aliases:
        count = Booking.objects.using(alias).count()

# Pin to a specific region
with specific_region("eu-west"):
    bookings = Booking.objects.all()

Celery Integration

Tenant context is propagated to Celery tasks via headers.

from boundary.celery import tenant_task

@app.task
@tenant_task
def send_confirmation(booking_id):
    # TenantContext.get() returns the correct tenant
    booking = Booking.objects.get(id=booking_id)

For class-based tasks:

from boundary.celery import TenantTask

class GenerateReport(TenantTask, app.Task):
    def run(self, report_id):
        ...

Management Commands

boundary_provision

python manage.py boundary_provision --name "Club A" --slug "club-a" --region eu-west
# Outputs: the new tenant's PK

boundary_deprovision

python manage.py boundary_deprovision --tenant club-a --export data.ndjson --yes
# Streams tenant data to NDJSON, then deletes

Supports --dry-run, --batch-size, --yes (skip confirmation).

boundary_run

python manage.py boundary_run --tenant club-a send_reminders
# Runs send_reminders with tenant context active

boundary_run_all

python manage.py boundary_run_all send_reminders --parallel 4 --region eu-west --json
# Runs against all active tenants, 4 workers, EU only, NDJSON output

Settings Reference

Setting Default Description
BOUNDARY_TENANT_MODEL Required, falls back to ICV_TENANT_MODEL Dotted path to tenant model, e.g. "tenants.Organisation". ICV_TENANT_MODEL is the single ecosystem-wide tenant-model knob (ADR-025 T2); set it once if other packages (e.g. icv-identity) already read it. BOUNDARY_TENANT_MODEL always wins if both are set. Whichever setting resolves is structural: it is baked into TenantMixin's and make_tenant_mixin()'s foreign key (and therefore into your migrations) at import time, so changing either setting afterwards needs a new migration, the same as changing any other FK target. A project with neither setting configured fails fast at startup with ImproperlyConfigured naming both settings
BOUNDARY_TENANT_FK_FIELD "tenant" Default FK field name used by make_tenant_mixin() when no explicit name is passed
BOUNDARY_TENANT_LABEL BOUNDARY_TENANT_FK_FIELD Human-readable term used in error messages, FK verbose_name, and middleware HTTP response bodies
BOUNDARY_REQUEST_ATTR BOUNDARY_TENANT_FK_FIELD Extra attribute set on the request object alongside request.tenant (e.g. request.merchant). When equal to "tenant", no second attribute is added
BOUNDARY_STRICT_MODE True Raise TenantNotSetError on unscoped queries
BOUNDARY_REQUIRED True Return 404 if no resolver matches
BOUNDARY_RESOLVERS ["...SubdomainResolver"] Ordered resolver class paths
BOUNDARY_SUBDOMAIN_FIELD "slug" Tenant field for subdomain lookup
BOUNDARY_SUBDOMAIN_PARENT_DOMAIN None Constrain SubdomainResolver to hosts exactly one label above this domain (or list of domains); closes cross-tenant serving from foreign hosts
BOUNDARY_HEADER_NAME "X-Tenant-ID" HTTP header for HeaderResolver
BOUNDARY_JWT_CLAIM "tenant_id" JWT payload claim
BOUNDARY_SESSION_KEY "boundary_tenant_id" Session key for SessionResolver
BOUNDARY_REGIONS None Regional DB configs (activates routing)
BOUNDARY_REGION_FIELD "region" Tenant field storing region key
BOUNDARY_DB_SESSION_VAR "app.current_tenant_id" PostgreSQL session variable
BOUNDARY_SET_DB_SESSION_VAR True Whether to write the PostgreSQL session variable at all. Set to False to skip the set_config() round trip on every context entry and exit for a deployment using boundary for ORM-layer scoping only, with no RLS policies enabled. Disabling this while RLS is actually enabled on a tenant table is a genuine isolation failure, not a performance choice; boundary.W009 warns when both are true at once
BOUNDARY_WRAP_ATOMIC True Wrap requests in transaction.atomic()
BOUNDARY_TENANT_APPS [] App labels (not dotted module paths) whose concrete models are adopted into tenancy at the database layer: a tenant_id column no Django field models, plus RLS and both policies. Declares intent and drives boundary.E007, boundary_deprovision and assert_rls_enforced(); the DDL itself is applied by the AdoptTenantApp operation from a migration in your own app. Listing your own app is supported, and is how a model that forgot its mixin gets reported
BOUNDARY_ADOPT_EXCLUDE [] "app_label.ModelName" strings exempted from adoption, for a genuinely global reference table inside an otherwise adopted app. Applies to both AdoptTenantApp and boundary.E007. An entry matching no model is inert, not an error
BOUNDARY_RESOLVER_CACHE_SIZE 1000 LRU cache max entries
BOUNDARY_RESOLVER_CACHE_TTL 60 Cache TTL in seconds
BOUNDARY_POST_PROVISION_HOOK None Callable after tenant provisioning
BOUNDARY_PRE_DEPROVISION_HOOK None Callable before tenant deletion

System Checks

ID Severity Condition
boundary.E001 Error Neither BOUNDARY_TENANT_MODEL nor its ICV_TENANT_MODEL fallback is set, or whichever one is set is invalid
boundary.E003 Error Resolver class cannot be imported
boundary.E004 Error No boundary or supported external tenant-resolution middleware is in MIDDLEWARE. icv_tenants.middleware.TenantContextMiddleware is the canonical external path; the legacy icv_identity.tenants.middleware.TenantContextMiddleware remains recognised during migration
boundary.E005 Error BOUNDARY_REGIONS set but RegionalRouter not in DATABASE_ROUTERS
boundary.E006 Error Tenant-scoped table missing RLS; recognises TenantMixin and make_tenant_mixin models, and adopted tables
boundary.E007 Error An expected-adopted table (a concrete model of an app in BOUNDARY_TENANT_APPS, not excluded, not already mixin- or path-scoped, and not the tenant model) is missing its tenant_id column, carries one of an unexpected type, lacks enabled-and-forced RLS, is missing either policy, or carries a unique constraint that is not composite leading with tenant_id. Also reports a deny-listed or uninstalled app label in the setting, the one condition needing no database connection. The expected set is derived from the live app registry, so a model added by an upstream upgrade is reported; the remedy is a second AdoptTenantApp migration (issues #69, #71)
boundary.E008 Error settings.DEBUG is False and BOUNDARY_STRICT_MODE or BOUNDARY_SET_DB_SESSION_VAR is False, one Error per offending setting. Each removes a category of isolation the deployment believes it has, and both default to the safe value, so reaching this state takes an explicit opt-out. Settings-only: no query, no connection, no vendor gate, so it is the one check that cannot be silently skipped. It fires under the test runner too, which sets DEBUG = False; record a deliberate choice with "boundary.E008" in SILENCED_SYSTEM_CHECKS (issue #82)
boundary.W001 Warning STRICT_MODE is False
boundary.W002 Warning Two or more known tenant-resolution middlewares are in MIDDLEWARE, which double-resolves the tenant. The canonical external middleware is icv_tenants.middleware.TenantContextMiddleware; the legacy identity path remains recognised during migration
boundary.W003 Warning The connecting database role is a superuser or has BYPASSRLS: RLS policies are not enforced for this connection, so boundary.E006 passing gives no guarantee tenant isolation actually works (issue #21)
boundary.W006 Warning A client-controlled resolver (HeaderResolver, JWTClaimResolver, or a subclass) is in BOUNDARY_RESOLVERS alongside django.contrib.auth: resolution names a tenant from client input with no membership check downstream (issue #38)
boundary.W007 Warning boundary.E006 or boundary.W003 could not determine the database state it checks. The connection was available but the query against pg_class/pg_roles failed, so the absence of E006 or W003 must not be read as a pass (issue #34)
boundary.W008 Warning SubdomainResolver (or a subclass) is in BOUNDARY_RESOLVERS without BOUNDARY_SUBDOMAIN_PARENT_DOMAIN set: it resolves the first label of any three-plus-label host, including a foreign host outside the deployment's own domain (issue #22)
boundary.W009 Warning BOUNDARY_SET_DB_SESSION_VAR is False but Row Level Security is enabled and forced on a tenant-scoped table, or on an adopted table: RLS depends on the session variable the opt-out stops writing, so isolation on that table is not enforced. An adopted table has no ORM layer to fall back on, so the combination leaves it with no isolation at all (issue #53)

Testing

In your tests

from boundary.testing import set_tenant, tenant_factory, TenantTestMixin

# Context manager
def test_isolation():
    tenant_a = tenant_factory(name="A", slug="a")
    tenant_b = tenant_factory(name="B", slug="b")

    with set_tenant(tenant_a):
        Booking.objects.create(court=1)

    with set_tenant(tenant_b):
        assert Booking.objects.count() == 0  # tenant_b sees nothing

# Mixin for TestCase
class BookingTests(TenantTestMixin, TestCase):
    def test_auto_populate(self):
        booking = Booking.objects.create(court=1)
        assert booking.tenant == self.tenant

Unscoped operations

# Cross-tenant admin/analytics queries
all_bookings = Booking.unscoped.all()

# Explicitly set tenant on unscoped create
Booking.unscoped.create(court=1, tenant=specific_tenant)

RLS test role and fail-closed assertion

boundary.W003 (above) diagnoses a test/CI database role that bypasses Row Level Security, but only under manage.py check, never under a plain pytest run. A suite run as the bootstrap superuser that most PostgreSQL docker images ship with passes every RLS-isolation test having enforced nothing.

boundary.testing ships the fix as two pieces:

provision_rls_test_role() provisions a plain NOSUPERUSER NOBYPASSRLS role (idempotent: safe to call against a role that already exists), mirroring the shell .github/workflows/ci.yml already runs by hand. It is a no-op on a non-PostgreSQL backend. It does not, and cannot, repoint DATABASES["default"] for you: pytest-django creates the test database during django_db_setup, before any fixture in a test module has run, so a fixture cannot swap the role early enough to affect that. Instead it returns the provisioned role's connection parameters, and you either build your own connection from them (as this package's own app_conn test fixture does) or set DATABASES["default"] to point at the role's credentials in your settings.py yourself, before pytest starts.

assert_rls_enforced(connection_params) is the load-bearing half: it connects with the given parameters and raises RLSNotEnforcedError, naming what it found, unless BOTH current_user is neither a superuser nor BYPASSRLS, AND at least one registered tenant model's table has RLS enabled and forced. Wire it as a session-scoped autouse fixture so a misconfigured run stops before any test runs, rather than passing every isolation test vacuously:

# conftest.py
import pytest
from boundary.testing import provision_rls_test_role, rls_enforced

@pytest.fixture(scope="session", autouse=True)
def _rls_enforced(django_db_setup, django_db_blocker):
    with django_db_blocker.unblock():
        params = provision_rls_test_role(
            bootstrap_connection_params={
                "host": "localhost",
                "port": 5432,
                "dbname": "myproject_test",
                "user": "postgres",
                "password": "postgres",
            },
        )
        if params:  # empty on a non-PostgreSQL backend
            rls_enforced(params)

rls_enforced() calls pytest.exit() on failure, so the whole run stops immediately with the cause on stderr, rather than reporting as one failed fixture among a wall of now-meaningless downstream test results.


Signals

Signal Arguments Fired when
tenant_resolved tenant, resolver, request After successful resolution
tenant_resolution_failed request No resolver matched (REQUIRED=True)
strict_mode_violation model, queryset Before TenantNotSetError is raised
admin_bypass_activated flag_var, using On entry to admin_bypass()

Requirements

  • Python 3.12 and 3.13
  • Django 5.2 (LTS), 6.0 and 6.1
  • PostgreSQL 14 to 16 for the RLS layer; the ORM layer also runs on SQLite

See Supported environments below for what each of those means in practice, and for the isolation consequence of running on SQLite.


Supported environments

Every combination below is exercised by a CI leg. Anything not listed is untested rather than actively blocked: boundary adds no refusal for it, and running outside this matrix is at your own risk.

Databases

Backend Support
PostgreSQL 14, 15, 16 Fully supported, both isolation layers. A release above 16 is not refused and is expected to work, since nothing in the generated DDL uses a feature newer than 14, but it is outside the verified matrix until a leg runs it.
SQLite Supported as an ORM-only backend, for local development and CI.
MySQL, MariaDB Unsupported and untested. Neither has Row Level Security, so the RLS layer cannot exist there, and no CI leg exercises the ORM layer on them.

What SQLite gives you, and what it does not. The ORM filtering layer, the context layer, resolution, Celery propagation and the management commands all work. Row Level Security does not exist on SQLite, and boundary keeps that absence quiet rather than noisy: boundary.E006, boundary.W003, boundary.W007 and boundary.W009 return nothing, assert_rls_enforced() returns without raising, TenantContext issues no session variable, and the three RLS migration operations log one line each and apply no DDL. You can run the same migration files on both backends.

The consequence, stated plainly: an adopted table has no isolation at all on SQLite. A model using boundary's mixins keeps its ORM-layer filtering when the policy is skipped, so it is left with less isolation. An adopted third-party table (AdoptTenantApp) has no ORM layer beneath the policy, so on SQLite it has none whatsoever. AdoptTenantApp therefore still refuses to run off PostgreSQL, where the other three operations skip quietly.

More generally on a non-PostgreSQL alias, a mixin-scoped model has ORM-layer isolation only: TenantManager filtering and BOUNDARY_STRICT_MODE behave exactly as on PostgreSQL, but raw(), extra(), hand-built SQL and any third-party package writing directly have no backstop, because the backstop is RLS. Use PostgreSQL wherever isolation matters.

Python and Django

Supported
Python 3.12, 3.13
Django 5.2 (LTS), 6.0, 6.1

Every combination of the two is supported and runs in CI. Python 3.14 is not supported in the 1.0 line.

Deployment shapes

  • ASGI. Context propagation is contextvars throughout, and TenantMiddleware is a MiddlewareMixin serving both WSGI and ASGI. An async view, async middleware downstream of boundary's, and a sync view in the same process all see the same tenant context semantics.
  • Celery. Tenant context crosses a task dispatch through the shipped signal handlers and the tenant_task decorator or TenantTask base class, once you wire them. Boundary does not auto-install them into your Celery app.
  • Multiple database aliases. More than one alias is supported through RegionalRouter and, for migration-time DDL, through the router gates. A deployment may hold a PostgreSQL alias carrying the RLS layer beside a non-PostgreSQL alias carrying none, in one process, provided its router keeps the RLS migrations off the second alias. The vendor gates are applied per alias, not per deployment.

Comparison with django-tenants

Claims about django-tenants below are taken from its own documentation (https://django-tenants.readthedocs.io/) at 3.14.0.

django-tenants django-boundary
Isolation PostgreSQL schemas (Postgres only) ORM filter on any backend, plus RLS on Postgres
Migration cost Once per tenant schema (migrate_schemas) Once, for models using boundary's mixins
Third-party apps Any app, by listing it in TENANT_APPS; whole app only Own models and swappable-base packages; concrete third-party models need adoption (icvoss/django-boundary#69)
Tenant context Held on the database connection; async not documented contextvars; async supported
Celery Separate tenant-schemas-celery package boundary's Celery signals, once wired (see how-to)
Regional routing Not supported First-class
Outside a tenant Public schema: missing-relation error TenantNotSetError under STRICT_MODE

Licence

MIT

Documentation