PostgreSQL integration
Read from and write to PostgreSQL, capture row changes in real time with CDC, and sync your database with any app or warehouse — no code.
What the PostgreSQL integration does
PostgreSQL is where a lot of your operational data lives. The OctaviaFlow PostgreSQL integration lets you read from it, write to it, and stream its changes into the rest of your stack — without hand-writing sync jobs or cron scripts.
Query rows with filters, insert or update records, and turn on Change Data Capture so a workflow fires the instant a row is inserted, updated, or deleted. Every action is a step in a larger pipeline, so Postgres data can flow to a warehouse, a SaaS app, or a notification in one place.
Real-time CDC, scheduled batch, or hybrid — pick the sync mode that fits each pipeline.
What you can do
Query with filters
Read rows with conditions so you pull exactly the data a workflow needs — a lookup, a slice of a table, or a full extract.
Insert, update & upsert
Write rows back to Postgres: create records, update in place, or upsert to keep a table in sync with another system.
Real-time CDC
Change Data Capture streams inserts, updates, and deletes as they happen, so a workflow reacts to new or changed rows with sub-minute latency.
Batch or hybrid sync
Prefer scheduled loads? Run batch syncs on a cadence, or mix CDC and batch for cost and freshness together.
Move data anywhere
Send Postgres data to a warehouse, another database, or a SaaS app — and pull external data back in — in a single pipeline.
Secure by default
Connect over TLS with credentials stored encrypted, and reach private databases via SSH tunnel.
How it works in PostgreSQL
- 1
Connect PostgreSQL
Add your database connection (host, database, credentials) in Connectors. TLS and SSH-tunnel options are supported for private databases.
- 2
Add a Postgres step
Drop a query (read) or write action into your workflow, or use Postgres CDC as the trigger that starts it.
- 3
Shape the data
Add filters for reads, map fields for writes, and reference values from earlier steps.
- 4
Choose a sync mode
Run on demand, on a schedule, or in real time via CDC — whatever the pipeline needs.
Popular PostgreSQL automations
Replicate Postgres to your warehouse
Stream inserts, updates, and deletes into Snowflake or another warehouse in real time for analytics that stay current.
Sync a database with a SaaS app
Keep records consistent between Postgres and a CRM, billing, or support tool as data changes on either side.
Trigger workflows on row changes
Fire an enrichment, notification, or downstream write the moment a row is inserted or updated.
Bulk export and import
Extract a table to a file or another system, or load records into Postgres with field mapping and validation.
Operational alerts
Watch a table for a threshold or status change and notify the right team channel automatically.
Feed AI steps
Read rows, run them through an AI step for classification or enrichment, and write the results back.
PostgreSQL integration FAQ
Can OctaviaFlow read from and write to PostgreSQL?
Yes. Query actions read rows with filters, and write actions insert, update, or upsert — in either direction, in the same workflow.
Does it support real-time Change Data Capture (CDC)?
Yes. CDC streams inserts, updates, and deletes as they happen so a workflow reacts to row changes with sub-minute latency. Scheduled batch and hybrid modes are also available.
Can I connect a database on a private network?
Yes. Connections support TLS and SSH-tunnel options so you can reach databases that aren't publicly exposed.
Which tables can it access?
Only the tables your connection has permission for, and specifically the ones you point a step at — reads and writes are scoped to what you configure.
Are my credentials secure?
Connection credentials are stored encrypted and used over TLS. See our privacy policy for details.
Automate PostgreSQL with your whole stack
Connect PostgreSQL in minutes and let OctaviaFlow deliver the right message at the right moment — powered by data from anywhere.