DatriseAI-first ETL

Source connector

Gong connector

Gong integration for databases, warehouses and BI tools

Revenue intelligence from recorded sales calls. Datrise captures Gong entities such as calls, transcripts, deals, users, trackers and call topics, 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 `gong_calls`) with a schema derived from the Gong 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 Gong pipeline page, and join the waitlist to get the Gong connector (Product analytics) with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Gong 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
callsgong_callsAppend-only, incremental by timestamp
transcriptsgong_transcriptsUpsert by primary key, incremental on updated-at
dealsgong_dealsUpsert by primary key, incremental on updated-at
usersgong_usersUpsert by primary key, incremental on updated-at
trackersgong_trackersUpsert by primary key, incremental on updated-at
call topicsgong_call_topicsAppend-only, incremental by timestamp

Popular destinations for Gong

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
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    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
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    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
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    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
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    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

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    Apache Superset

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

    View pipeline
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    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

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    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Gong connector FAQ

What Gong data does the connector extract?
6 objects: calls, transcripts, deals, users, trackers and call topics. Each lands in its own table with types preserved; history-style objects (2: calls and call topics) load as append-only streams.
Is the Gong 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 Gong data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Gong → destination pair has its own page with the object-to-table mapping.

Related Product analytics sources

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

Early access

Launch your Gong pipeline with guided onboarding

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