Two-way sync
Changes in Apache Druid or Auth0 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and Auth0 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; Apache Druid 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 Apache Druid. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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 Apache Druid in real time, and the connection works in both directions: values computed in Apache Druid, 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.
Risk scores, anomaly flags, or access-review outcomes computed in Apache Druid write back to attributes on the matching user in Auth0, where the identity team can act on them.
Users, groups, and roles from Auth0 arrive in Apache Druid as queryable tables, current within seconds instead of a nightly directory export.
Sign-in and access events from Auth0 land in Apache Druid, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
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.
| Apache Druid objects | Auth0 objects | How this pairing syncs | |
|---|---|---|---|
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Roles RBAC role definitions and their permissions; synced with a database to audit which users hold which access, and assigned to Users from either side. | Metrics is specific to Apache Druid and Roles to Auth0 — each maps to any object or custom field on the other side. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Organizations B2B customer tenants under /api/v2/organizations; synced two-way with a CRM or customer database to keep account records aligned with Auth0 orgs. | Ingestion Supervisors is specific to Apache Druid and Organizations to Auth0 — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Organization Members Membership records linking Users to Organizations with roles; written to provision and deprovision access as accounts change. | Lookups is specific to Apache Druid and Organization Members to Auth0 — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Connections Identity-provider configs (database, social, enterprise SAML/OIDC); typically read out to inventory how each tenant authenticates. | Tasks is specific to Apache Druid and Connections to Auth0 — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Clients (Applications) Registered applications and their metadata under /api/v2/clients; mirrored to a database for app and credential inventories. | Datasources is specific to Apache Druid and Clients (Applications) to Auth0 — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Resource Servers (APIs) API definitions and their scopes; synced so permission catalogs used for access reviews stay current. | Segments is specific to Apache Druid and Resource Servers (APIs) to Auth0 — 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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
DeliveryEach detected change is written to Auth0 through its API, with automatic retries and rate-limit backoff.
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 Apache Druid as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Auth0 connection.
Changes in Apache Druid or Auth0 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Auth0 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Druid or Auth0 record.
Track your Apache Druid ⇄ Auth0 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Auth0.
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 Apache Druid and Auth0 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 Apache Druid and Auth0 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 Apache Druid and Auth0: authenticate both systems, choose the objects to sync (such as Apache Druid's Metrics and Ingestion Supervisors), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Apache Druid and Auth0 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Druid and Auth0 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–Auth0 integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Druid and Auth0. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Auth0: Event Streams and Log Streams deliver near-real-time user.created/updated/deleted and tenant events to a custom webhook or Amazon EventBridge; polling falls back to the Get Users search filtered on updated_at. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Druid side: Ingestion Supervisors, Lookups, Tasks, Datasources, plus custom fields where Apache Druid exposes them. On the Auth0 side: Log Events, Users, Roles, Organizations. Stacksync auto-detects both schemas and converts types between the two systems.
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 438 integrations available for Apache Druid and Auth0.