DatriseAI-first ETL

Source connector

Instatus connector

Instatus integration for databases, warehouses and BI tools

Fast status pages with incident timelines and subscribers. Datrise captures Instatus entities such as incidents, components, incident updates, subscribers, status page views and uptime history, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 4 sync as upserts keyed on the primary key and 2 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 `instatus_incidents`) with a schema derived from the Instatus 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 Instatus pipeline page, and join the waitlist to get the Instatus connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Instatus 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.

ObjectLanding tableSync mode
incidentsinstatus_incidentsUpsert by primary key, incremental on updated-at
componentsinstatus_componentsUpsert by primary key, incremental on updated-at
incident updatesinstatus_incident_updatesUpsert by primary key, incremental on updated-at
subscribersinstatus_subscribersUpsert by primary key, incremental on updated-at
status page viewsinstatus_status_page_viewsAppend-only, incremental by timestamp
uptime historyinstatus_uptime_historyAppend-only, incremental by timestamp

Popular destinations for Instatus

Choose a destination below to open the ready pipeline page.

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    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
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    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
  • A
    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
  • A
    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
  • A
    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
  • A
    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
  • A
    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
  • A
    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Instatus connector FAQ

What Instatus data does the connector extract?
6 objects: incidents, components, incident updates, subscribers, status page views and uptime history. Each lands in its own table with types preserved; history-style objects (2: status page views and uptime history) load as append-only streams.
Is the Instatus 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 Instatus data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Instatus → 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 Instatus pipeline with guided onboarding

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