Source connector

Sentry connector

Sentry integration for databases, warehouses and BI tools

Application error tracking and release health. Datrise captures Sentry entities such as issues, events, releases, projects, stack traces and environments, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

The Sentry Web API (api/0) authenticates with personal access token, OAuth 2.0, incremental runs key on lastSeen.

Of the 6 objects, 5 sync as upserts keyed on the primary key and 1 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 `sentry_issues`) with a schema derived from the Sentry 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 Sentry pipeline page, and join the waitlist to get the Sentry connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Sentry 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
issues	sentry_issues	Upsert by primary key, incremental on updated-at
events	sentry_events	Append-only, incremental by timestamp
releases	sentry_releases	Upsert by primary key, incremental on updated-at
projects	sentry_projects	Upsert by primary key, incremental on updated-at
stack traces	sentry_stack_traces	Upsert by primary key, incremental on updated-at
environments	sentry_environments	Upsert by primary key, incremental on updated-at

Sentry API: setup facts for the connector

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

API	Sentry Web API (api/0)
Authentication	personal access token, OAuth 2.0 — Most integrations use an Auth Token (Organization Token, Internal Integration token, or User Auth Token) sent as `Authorization: Bearer <token>`; Internal Integrations and public Sentry Apps can instead use OAuth 2.0.
Pagination	link_header — Responses carry a `Link` header with `rel="previous"`/`rel="next"` URLs and a `results="true\|false"` flag per link; follow `rel="next"` until `results="false"` rather than computing offsets.
Rate limit	Not published
Incremental cursor	lastSeen — The Organization/Project Issues endpoints accept `sort=date`, which orders by the issue's `lastSeen` timestamp, but there is no documented global `updated_since` filter, so polling still requires paging through the sorted list each run.
Webhooks	Yes — Integration Platform webhooks (issue.created/resolved/assigned/archived/unresolved, error, metric alert, comment events)
Bulk export	No
Deletes detectable	No

Official API reference

What bites when replicating Sentry

Sentry publishes no fixed request-per-second number; each endpoint enforces its own undisclosed window and returns `X-Sentry-Rate-Limit-Remaining`/`X-Sentry-Rate-Limit-Reset` headers, so throttling must be handled reactively via a 429 and `Retry-After` rather than paced to a known quota.
Pagination is Link-header driven, not offset-based: the `cursor` query value is an opaque three-part token, so a connector must parse the `Link` header's `rel="next"` URL rather than constructing its own next-page request.
There is no organization-wide `updated_since`/deleted-issues feed; issues can be merged, deleted, or reprocessed with a new group ID, so a connector relying only on `sort=date` polling can silently lose track of resolved records.
Webhook handlers must respond within 1 second or Sentry treats the delivery as a timeout, which is far tighter than the 5-15 second budgets common to other vendors' webhook systems.

Compare this against every other documented API

Popular destinations for Sentry

Choose a destination below to open the ready pipeline page.

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Airtable
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Amazon Athena
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Amazon Redshift
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Azure Data Lake Storage
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Azure Synapse
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Sentry connector FAQ

What Sentry data does the connector extract?: 6 objects: issues, events, releases, projects, stack traces and environments. Each lands in its own table with types preserved; history-style objects (1: events) load as append-only streams.
Is the Sentry 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 Sentry data?: Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Sentry → destination pair has its own page with the object-to-table mapping.

Related sources

Other sources in the same category, each with its own connector page.

Early access

Launch your Sentry pipeline with guided onboarding

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