Two-way sync
Changes in Auth0 or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Auth0 and Snowflake in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Auth0 is the record of who exists and what they can reach; Snowflake is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Auth0 governs are what security, compliance, and analytics teams want to query in Snowflake. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Log Events, Users, Roles, Organizations from Auth0 into tables in Snowflake in real time, and the connection works in both directions: values computed in Snowflake, such as risk scores or access-review decisions, can be written back to attributes in Auth0 where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.
Sign-in and access events from Auth0 land in Snowflake, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Join Auth0's users and group memberships with HR, product, and usage data already in Snowflake to surface who holds access they no longer need.
A continuously synced copy in Snowflake gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Auth0 objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Organization Members Membership records linking Users to Organizations with roles; written to provision and deprovision access as accounts change. | Tasks Scheduled SQL used to transform synced data after it lands. | Organization Members is specific to Auth0 and Tasks to Snowflake — each maps to any object or custom field on the other side. | |
| Connections Identity-provider configs (database, social, enterprise SAML/OIDC); typically read out to inventory how each tenant authenticates. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Connections is specific to Auth0 and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. | |
| Clients (Applications) Registered applications and their metadata under /api/v2/clients; mirrored to a database for app and credential inventories. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Clients (Applications) is specific to Auth0 and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side. | |
| Resource Servers (APIs) API definitions and their scopes; synced so permission catalogs used for access reviews stay current. | Databases Top-level containers that scope which data a sync can touch. | Resource Servers (APIs) is specific to Auth0 and Databases to Snowflake — each maps to any object or custom field on the other side. | |
| Log Events Tenant events (logins, signups, failed logins, admin changes) from /api/v2/logs; read-only, streamed into a warehouse for security analytics. | Schemas Namespaces within a database used to organize synced tables. | Log Events is specific to Auth0 and Schemas to Snowflake — each maps to any object or custom field on the other side. | |
| Users Core identity records with profile fields plus user_metadata and app_metadata; synced two-way (create, update, delete) via /api/v2/users. Credentials are never returned. | Tables The main landing and activation target for synced records. | Users is specific to Auth0 and Tables to Snowflake — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionAuth0 notifies Stacksync of record changes through webhook events. Event Streams and Log Streams deliver near-real-time user.created/updated/deleted and tenant events to a custom webhook or Amazon EventBridge.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
DeliveryEach detected change is written to Auth0 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Auth0–Snowflake connection.
Changes in Auth0 or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Auth0 or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Auth0 or Snowflake record.
Track your Auth0 ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Auth0 and Snowflake.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Auth0 and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Auth0 and Snowflake objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Auth0 and Snowflake: authenticate both systems, choose the objects to sync (such as Auth0's Organization Members and Connections), map fields visually, and changes propagate both ways in milliseconds — no code required.
Auth0: Management API v2 (REST); Authentication API issues the access token. Authentication: OAuth 2.0 client credentials from a machine-to-machine application; scoped Bearer JWT where each operation needs its own scope (e.g. read:users, create:users, update:users) or returns 403. Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. Stacksync manages authentication, retries, and rate limits on both sides.
Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. Auth0: Management API tokens are scoped JWTs from a machine-to-machine application; each operation requires its own scope (read:users, update:users, and so on) or the call is rejected with 403. Stacksync's field mapping accounts for these differences between Auth0 and Snowflake without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Auth0 and Snowflake records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Auth0 and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Auth0–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both Auth0 and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 545 integrations available for Auth0 and Snowflake.