TL;DR Short answer: the best Gong ETL tools depend on how fresh and how complete your data needs to be. The Gong API allows three calls per second and 10,000 per day per company, so large backfills are slow, while Gong Data Cloud shares an analytics-ready dataset once a day. Call transcripts are some of your most sensitive data, so plan access controls first. Seven Gong ETL tools compared:
Airbyte Gong Data Cloud Matillion Nexla Gong CRM integrations Gong analytics Custom code with the Gong API The Gong constraint: the API limit of three calls per second and 10,000 per day is shared across your whole company, only admins can create API keys, and private calls are excluded from exports, so plan backfills and access before you sync. Gong ETL tools and Gong integrations move calls, transcripts, users, scorecards and deal activity out of Gong and into a cloud data warehouse , BI tool or CRM. Revenue operations and enablement teams use them to join conversation data with pipeline, win rates and product usage.
Why use Gong ETL tools instead of Gong analytics? Gong's built-in analytics cover talk ratios, team activity, deal boards and forecasting inside Gong. Revenue teams usually need more: conversation signals joined with closed-won data, coaching impact on quota attainment, product feedback from transcripts, and one view across Gong, the CRM and billing. That needs Gong data in a warehouse, which is what Gong ETL tools are for.
How do the Gong ETL tools compare? Tool Best destination Sync method Deployment Pricing model Airbyte Warehouse, lake or database Backfill, then new calls incrementally Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Gong Data Cloud Snowflake, BigQuery, Databricks, Redshift, S3 Daily data share Inside Gong Gong add-on Matillion Snowflake, Databricks, Redshift Scheduled pipeline Cloud Credit-based Nexla Databases, warehouses and APIs Scheduled or triggered flows Cloud Subscription CRM integrations Salesforce, HubSpot Continuous CRM sync Inside Gong Included Gong analytics Inside Gong Built-in Inside Gong Included Custom code Anywhere you send it Whatever you build Wherever you run it Free, engineering time
Which Gong ETL tools should you consider? Seven Gong ETL tools, from warehouse ELT to Gong's own data share:
1. Airbyte Airbyte is one of the leading open-source ELT tools , with 700+ connectors, and among Gong ETL tools it is the most flexible on destinations. Its Gong source reads calls, extensive call data, call transcripts, users and scorecards from the Gong API. After the first backfill, it fetches transcripts only for new calls, which keeps daily syncs well inside Gong's limits.
You authenticate with OAuth or a Gong access key and secret created by an admin. The connector paces itself to three requests per second whatever thread count you set, and from version 1.1.0 it excludes calls marked private. Airbyte runs self-hosted, on Airbyte Cloud or as Enterprise Flex.
Pros Cons Calls, transcripts, users and scorecards Backfills limited by three requests per second Excludes private calls by default Admin access needed to create keys Gong next to CRM, billing and 700+ sources Transcripts need masking and access controls
2. Gong Data Cloud Gong Data Cloud is Gong's native data share. A tech admin connects Gong to Snowflake, BigQuery, Databricks, Redshift or S3, and Gong publishes an analytics-ready dataset, including calls, trackers, scorecards, forecast data and call transcripts, updated once a day. On Snowflake you create a database from Gong's share, so there is no pipeline to run. For warehouse-side options, see our guide to Snowflake ETL tools .
Pros Cons Analytics-ready tables, including transcripts Paid Gong add-on No pipeline to build or maintain Updated once a day Several warehouse destinations Gong data only
3. Matillion Matillion is one of the Gong ETL tools aimed at warehouse teams: its Gong Flex connector loads a curated set of Gong API endpoints, including call transcripts, into Snowflake, Databricks, Amazon Redshift or cloud storage, and you can add or amend endpoints for your use case.
Pros Cons Curated Gong endpoints, editable Credit-based pricing Snowflake, Databricks and Redshift Bound by Gong's API limits Fits existing Matillion pipelines Less suited to small teams
4. Nexla Nexla is one of the Gong ETL tools built around data products: its Gong Feeds connector is a source-only connector that retrieves calls and interactions from the Gong API with an access key and secret, then delivers them to databases, warehouses or other APIs through visual flows.
Pros Cons Visual flows and reusable data products Subscription pricing Any destination Nexla supports Smaller community than the largest ELT tools Validation and filtering built in Bound by Gong's API limits
5. Gong CRM integrations Gong's native Salesforce and HubSpot integrations link calls, emails and activity to accounts, contacts and opportunities, so reps see conversation context in the CRM. They are the right tool for operational CRM sync, but not for warehouse analytics. For CRM-side pipelines, see our guides to Salesforce ETL tools and HubSpot ETL tools .
Pros Cons Native Salesforce and HubSpot sync Operational sync, not analytics Activity linked to deals in the CRM Limited to CRM objects Included with Gong No warehouse history
6. Gong analytics Before choosing Gong ETL tools, check the built-in options. Gong analytics cover team activity, talk ratios, topics, deal boards and forecasting inside the app. They answer most day-to-day coaching and pipeline questions, but cannot be joined with billing, product or support data automatically.
Pros Cons Built in, with no extra tools Stays inside Gong Coaching, deal and forecast views Cannot be joined with other data automatically No data movement or governance work Limited custom analysis
7. Custom code with the Gong API When no Gong ETL tools fit a narrow need, you can call the API yourself. The Gong REST API covers calls, transcripts, users, stats and CRM objects, authenticated with Basic Auth from an access key and secret, or OAuth. You own pagination, the company-wide limit of three calls per second and 10,000 per day, and the governance of transcripts.
Pros Cons Full control over endpoints and fields Company-wide daily call budget OAuth or access key authentication Admin-only credentials No licence cost Ongoing maintenance
How do you connect Gong to Salesforce or HubSpot? Use Gong's native CRM integrations to sync calls and activity with Salesforce or HubSpot records for day-to-day selling. For analysis across conversations and pipeline, load Gong and your CRM into the same warehouse and join calls to opportunities there. Teams running sales engagement tools alongside Gong should also see our guides to Outreach ETL tools and SalesLoft ETL tools .
How do you get Gong data into Snowflake or BigQuery? Most of these tools load either warehouse. If you have Gong Data Cloud, connect it to Snowflake or BigQuery for a daily, analytics-ready dataset with no pipeline to run. Otherwise, use an ELT tool such as Airbyte to backfill calls and transcripts through the Gong API, then sync new calls incrementally. Either way, mask transcripts and restrict access, because Gong's own permission model no longer applies once the data is in your warehouse.
What should you check before syncing Gong? Whichever Gong ETL tools you choose, most pipeline problems come from limits, credentials and sensitive data. Check these first:
API limits: Gong allows three API calls per second and 10,000 per day across the whole company. Schedule backfills so they do not starve other integrations.Admin credentials: only Gong admins can create API keys, and the access key secret is shown once. Store it securely when you create it.Transcripts and privacy: transcripts contain customer conversations. Decide who can query them, and apply masking and grants in the warehouse.Private calls: calls marked private in Gong are excluded from API-based exports. Expect totals to differ from Gong's own reports.Data Cloud freshness: Gong Data Cloud updates once a day. Use API-based syncs if you need fresher data.Identity: join Gong users and participants to CRM users and contacts by email or CRM ID, and document the mapping.The Gong API and Gong Data Cloud expose revenue conversation data, including:
Calls: metadata, participants, duration, outcomes and linked CRM objects. Transcripts: speaker-attributed text of each recorded call. Trackers and topics: keywords and themes detected in conversations. Scorecards: coaching questions and answers for reviewed calls. Users and teams: reps, managers and their activity statistics. Forecasts: forecast submissions and targets, where enabled. How do you start pulling data from Gong? If you decide to test Airbyte, setting up a Gong pipeline takes three steps.
Step 1: Set up Gong as a source Ask a Gong admin to create an API access key and secret, or authenticate with OAuth, and copy the secret when it is shown. In Airbyte, open Sources, choose New source, select Gong and enter the credentials and a start date.
Step 2: Set up a destination Pick where your Gong data should land: a warehouse such as Snowflake, BigQuery or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select calls, users and scorecards, add transcripts only if your access controls are ready, and schedule daily runs. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Gong ETL tool should you choose? The right Gong ETL tools depend on freshness and what else you need in the warehouse. If you have Gong Data Cloud and daily updates are enough, start there. For Gong next to CRM, billing and product data, with transcripts synced on your schedule, use Airbyte, or Matillion and Nexla if your team already runs them. Gong's CRM integrations cover day-to-day selling, and Gong analytics cover coaching and forecasting inside the app.
For a wider view of the market, see our guide to the best data integration tools .
Sync Gong to your warehouse with Airbyte Airbyte is one of the open-source Gong ETL tools. Replicate Gong calls, transcripts, users and scorecards within Gong's API limits, next to your CRM, billing and 700+ other sources.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What are the best Gong ETL tools? The best Gong ETL tools depend on freshness and scope. Gong Data Cloud suits daily, analytics-ready data in your warehouse, Airbyte suits Gong next to CRM and product data on your own schedule, and Gong's CRM integrations suit day-to-day selling.
2. What are the Gong API rate limits? By default, Gong allows three API calls per second and 10,000 API calls per day, shared across your whole company. Large backfills therefore take time and should be scheduled carefully.
3. What is Gong Data Cloud? Gong Data Cloud is Gong's data sharing add-on. It shares an analytics-ready Gong dataset, including call transcripts, with Snowflake, BigQuery, Databricks, Redshift or S3, updated once a day.
4. Can you export Gong call transcripts? Yes. Transcripts are available through the Gong API, ELT tools such as Airbyte, and Gong Data Cloud. Because they contain customer conversations, apply masking and access controls in the warehouse.
5. Who can create Gong API keys? Only Gong admins can create API access keys, and the access key secret is shown once. Some tools also support OAuth, which handles token refresh automatically.
Suggested reads Salesforce ETL Tools
HubSpot ETL Tools
Outreach ETL Tools
SalesLoft ETL Tools
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