Source connector

Auth0 connector

Auth0 integration for databases, warehouses and BI tools

Identity source for authentication and sign-in telemetry. Datrise captures Auth0 entities such as authentication logs, sign-ins, user identity changes, and security events, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

The Auth0 Management API v2 (with the Logs / Log Streams sub-APIs) authenticates with OAuth 2.0, incremental runs key on log_id (checkpoint pagination on the Logs API), and Auth0 caps calls at Management API requests are limited per tenant: 2 requests/second (burst up to 10) on Free/trial tenants, 15 requests/second (burst up to 50) on paid tenants; exact figures vary further by subscription tier and are exposed via response headers.

Of the 4 objects, 0 sync as upserts keyed on the primary key and 4 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `auth0_authentication_logs`) with a schema derived from the Auth0 API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the Auth0 pipeline page, and join the waitlist to get the Auth0 connector (Identity) with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Auth0 data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

Object	Landing table	Sync mode
authentication logs	auth0_authentication_logs	Append-only, incremental by timestamp
sign-ins	auth0_sign_ins	Append-only, incremental by timestamp
user identity changes	auth0_user_identity_changes	Append-only, incremental by timestamp
security events	auth0_security_events	Append-only, incremental by timestamp

Auth0 API: setup facts for the connector

Verified against the vendor documentation on 2026-09-02. Unknown values are left blank rather than guessed.

API	Auth0 Management API v2 (with the Logs / Log Streams sub-APIs)
Authentication	OAuth 2.0 — A Machine-to-Machine application authorized against the Auth0 Management API resource server obtains a scoped JWT access token via the OAuth 2.0 client-credentials grant, sent as an `Authorization: Bearer` header.
Pagination	page — Standard offset pagination (`page`/`per_page`, capped at 1,000 total results, max `per_page` 50 on Public Cloud / 100 on Private Cloud) works for most endpoints; large collections (Logs, Organizations, Role Users, Organization Members) instead use checkpoint pagination (`from`/`take`) to page past that cap.
Rate limit	Management API requests are limited per tenant: 2 requests/second (burst up to 10) on Free/trial tenants, 15 requests/second (burst up to 50) on paid tenants; exact figures vary further by subscription tier and are exposed via response headers.
Incremental cursor	log_id (checkpoint pagination on the Logs API) — The Logs API's `GET /api/v2/logs` endpoint supports checkpoint pagination via `from=<log_id>`/`take=<n>`, letting a connector page forward through the event stream without missing records as new ones are written concurrently.
Webhooks	Yes — Log Streams (real-time event streaming to a Custom Webhook, Datadog, Splunk, Amazon EventBridge, etc.)
Bulk export	Yes — User Export jobs (`POST /api/v2/jobs/users-exports`, async job producing a downloadable CSV/JSON file)
Deletes detectable	Yes — The Logs API records user- and object-deletion events, but only within the tenant's log retention window (1-30 days depending on subscription tier), so it cannot be relied on to detect deletes older than that window.

Official API reference

What bites when replicating Auth0

Standard `page`/`per_page` pagination stops working past roughly 1,000 total results; endpoints prone to growing large (Logs, Organizations, Role Users) must instead use checkpoint pagination (`from`/`take`), and the two pagination styles are not interchangeable on the same endpoint.
Checkpoint pagination checkpoints are only valid for sequential forward paging and expire after 24 hours, so a connector that pauses mid-extraction for more than a day must restart the checkpoint walk from the beginning.
Log retention is as short as 1 day on the Starter plan and only 30 days even on Enterprise, so a connector that polls the Logs API for incremental change detection (including deletes) less often than the plan's retention window will permanently miss events.
Management API rate limits are enforced per tenant (not per token or per client), so multiple integrations or environments sharing one tenant divide the same 2 or 15 requests/second budget and can throttle each other.

Compare this against every other documented API

Popular destinations for Auth0

Choose a destination below to open the ready pipeline page.

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Azure Synapse
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Auth0 connector FAQ

What Auth0 data does the connector extract?: 4 objects: authentication logs, sign-ins, user identity changes and security events. Each lands in its own table with types preserved; history-style objects (4: authentication logs, sign-ins, user identity changes and security events) load as append-only streams.
Is the Auth0 integration incremental?: Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load Auth0 data?: Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Auth0 → destination pair has its own page with the object-to-table mapping.

Early access

Launch your Auth0 pipeline with guided onboarding

Join the waitlist to get priority access for Auth0 integrations with guided setup, schema-aware mapping, and production-grade incremental sync.