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ConnectorData & events

PostgreSQL

Your operational tables, read under the same row-level tenant wall the platform enforces.

Ask how PostgreSQL fits what you run.

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About

The PostgreSQL connector reads the operational tables your systems already write, through a dedicated database role, with incremental queries keyed on the timestamp or sequence columns you nominate. Row-level security is the point of the design: the connector's role sees only the rows its tenant policy allows, enforced by the database itself rather than by application code. That makes Postgres a safe way to feed an operator from a system of record you cannot or should not re-instrument.

The target design uses a cursor per table and requires verified tenant and source context. Writes remain confined to connector bookkeeping and use stable-key duplicate suppression. PostgreSQL is managed early access and requires deployment-specific validation.

Highlights

  • Reads operational tables
  • Row-level tenant isolation
  • Writes use idempotency keys and single-flight controls to suppress duplicate effects on retry
  • Provisioned with a deployment engineer through the early-access program
Kind
Connector
Category
Data & events
Publisher
Fibric
Availability
Early access
Delivery
Managed by Fibric; nothing to install
Data direction
Reads and writes
Pricing
Early access
Sold by
Fibric
Support
Developed and supported by Fibric
Tags
database, sql, tenancy, real-data

Authentication

A dedicated Postgres role governed by row-level security policies, its credentials stored in your tenant's secret store.

What it reads

  • Rows from the tables you expose, read incrementally by cursor
  • Schema changes on watched tables, surfaced as events
  • Row counts and lag per watched table, for read health

What it can do

  • Writes read cursors and processing marks to its own bookkeeping schema
  • Tags records it has processed

How it works

1

Sense

Rows from the tables you expose, read incrementally by cursor.

2

Reason

Operators reason over this connector's signals next to the rest of your stack, so decisions are grounded in the same records you run on.

3

Act

Target capability: Writes read cursors and processing marks to its own bookkeeping schema. Actual authority, duplicate controls, and recovery depend on the validated deployment and downstream system.

Pricing

Managed early access

This listing is informational and not self-serve. A deployment review must validate the connector, credentials, action boundary, recovery path, support, and contractual pricing before use.

Deployment engineer
Wires and verifies the integration with you during onboarding
Managed validation
Review maturity, authority, supported records, and deployment boundaries before go-live
Execution records
Supported reads, proposals, policy decisions, and reported outcomes kept for review
Support from the builders
Developed, run, and supported directly by Fibric

Requirements

System requirements
  • PostgreSQL 12 or later, reachable from Fibric's ingest network
  • A dedicated role with SELECT on the tables you expose and RLS policies applied
  • A timestamp or sequence column per watched table for incremental reads

Your deployment engineer verifies each line with you during onboarding.

Support and resources

Supported by the people who built it

This connector is developed, run, and supported by the same Fibric team. Support starts during onboarding with a named deployment engineer and doesn't hand you off afterward.

Works with

Listings this is designed to pair with. Each listing has its own live or managed early-access state.

Operator by Fibric

Operations Analyst

Ask what is happening in plain language and get an answer grounded in your real data. Then turn that answer into a vetted action.

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Operator by Fibric

Order Risk

BearScope has a live governed order-risk path. This listing expresses that capability as a target operator contract, not as a public pack or generalized runtime claim.

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Data & events connector

Webhook Ingest

A managed early-access pattern for verifying signed POST deliveries and attaching governed tenant and source context.

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Data & events connector

Snowflake

A managed early-access pattern for querying governed warehouse metrics with source context and explicit missing-state handling.

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Data & events connector

Amazon S3

Watches a bucket for the report, feed, or proof file that lands: an inbox an ingest operator can pick up and normalize.

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Bring PostgreSQL into your early-access deployment

Early access means a deployment engineer wires this with you, and it runs propose-only until you approve live actions.