Question 1

What Gong data can I load into ClickHouse?

Accepted Answer

Calls with their metadata, participants, context, topics, trackers and tracker occurrences, plus interaction data. Separately there are transcripts, keyword tracker definitions, scorecards and answers, users, workspaces, library folders and contents, and Engage flows. Tracker hits are often the most immediately useful table, because a hit is a countable structured signal where a transcript is text you still have to process.

Question 2

Will long transcripts be truncated?

Accepted Answer

No. ClickHouse string columns have no declared maximum width, so a transcript arrives intact however long the call ran. That is a real difference from warehouses that impose a fixed ceiling and clip anything beyond it, and it matters here more than on most sources since transcript length varies enormously. Text columns arrive nullable, so a call without a transcript yet shows null rather than an empty string.

Question 3

How much of Gong reads incrementally?

Accepted Answer

Calls and transcripts only, and only if you enable it. Those use a time watermark with a rolling seven day lookback, which exists because a transcript is not ready the moment a call ends. Everything else is read in full. This is not update complete change capture, so a change landing outside the window can be missed. Where completeness matters, pair the incremental schedule with a periodic full read.

Question 4

Does Polytomic remove deleted Gong calls?

Accepted Answer

No, because Gong provides no delete feed for this connector. Treat it as a snapshot source. Nothing produces a tombstone, so a call removed in Gong stays in your table until a full read reconciles it, which is a source limitation rather than anything about the destination. If your reporting counts calls, schedule an occasional full read so the totals do not drift upward over time.

Question 5

Why analyse conversation data in ClickHouse?

Accepted Answer

Because tracker hits behave like events and transcripts are bulky text, and this engine handles both without complaint. Counting how often an objection comes up across thousands of calls is a scan, which is exactly what ClickHouse optimises for. ETL into a data warehouse gets the calls there and lets you join them to accounts and opportunities, so the analysis is a query rather than an afternoon of listening.

Sync Gong to ClickHouse

Sync Gong to ClickHouse with Polytomic

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Calls, transcripts, trackers

Catches late transcripts

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Connect Gong in Polytomic

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