Question 1

Why sync Plain into PostgreSQL instead of a warehouse?

Accepted Answer

Usually because something other than a dashboard needs the data. An internal admin tool that shows a customer's support history, a service that flags accounts with open escalations, or an ops workflow that reads thread status all want a database they can query transactionally and reach from application code. Postgres suits that better than an analytical engine, and the ETL is the same either way.

Question 2

How is the data laid out in Postgres?

Accepted Answer

Normalized rather than nested into one table. Threads are one row each, and timeline activity goes to its own table with one sparse row per event carrying the parent thread identifier and an entry type column. Messages, notes, attachments, message components, thread links and discussions each get a table. Where Plain genuinely nests, such as label arrays and thread fields, the values land in JSON compatible columns you can index and query with Postgres JSON operators.

Question 3

Does every run reload everything?

Accepted Answer

No. Threads, customers, companies, tenants and several of Plain's reports read incrementally using Plain's updated timestamp, so a run moves only what changed and then fetches child records for the affected threads. The checkpoint is set ten minutes behind the run start so nothing slips through a boundary, which does mean records can repeat. Give each table a primary key so the sync merges rather than accumulating duplicate rows.

Question 4

Do deletions in Plain propagate?

Accepted Answer

Only for companies. Plain exposes deletion flags on company records, so those arrive marked and you can filter them. Threads carry no deletion markers, which means a removed conversation simply stops appearing in incremental reads while its row stays in Postgres. If a stale thread would mislead an internal tool reading this data, schedule a periodic full resync of that table rather than relying on incremental reconciliation.

Connect Plain with PostgreSQL

Connect Plain and PostgreSQL with Polytomic

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