POSTGRESQL DATA INTEGRATION

Real-Time Postgres Change Data Capture (CDC)

Unlock the value of your PostgreSQL data. Qlik® delivers low-impact, log-based CDC to stream live Postgres changes to any cloud data warehouse, data lake, or messaging broker.

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Accelerate data delivery with PostgreSQL CDC

Qlik enables you to move PostgreSQL data instantly without degrading database performance, ensuring your downstream analytics are current.

Stream data in real time

Capture inserts, updates, and deletes as they happen, minimizing the latency between your Postgres database and your analytics platforms.

Protect database performance

Utilize logical decoding and Write-Ahead Log (WAL) reading to capture changes invisibly, avoiding heavy batch queries on production systems.

Modernize your architecture

Seamlessly replicate Postgres data to modern cloud environments like Snowflake, Databricks, Apache Kafka, and major cloud data warehouses.

How Qlik's Postgres CDC integration works

Step 1 - Connect securely to your PostgreSQL database and automatically configure non-intrusive, log-based change data capture.
Step 2 - Read the Postgres Write-Ahead Log (WAL) to identify and extract every data modification instantly without impacting core workloads.
Step 3 - Stream captured changes continuously to your target destination, applying automated data transformations and quality checks in flight.

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Why choose Qlik for Postgres CDC?

Zero-impact replication

Automated schema evolution

Enterprise scalability

Read the WAL, not the tables

Traditional ETL extracts drag down Postgres performance. Qlik leverages PostgreSQL’s native logical decoding to read transaction logs, ensuring your primary applications stay fast.

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Keep pipelines flowing automatically

When tables change in Postgres, your pipelines shouldn't break. Qlik automatically detects Data Definition Language (DDL) changes and propagates them to your target systems without requiring manual engineering intervention.

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Handle massive transaction volumes

Whether you are running a single Postgres instance or a complex, high-volume clustered environment, our streaming architecture scales effortlessly to meet your most demanding data replication needs.

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Key features of Qlik's Postgres CDC solution

Broad target support

Replicate Postgres data directly and seamlessly to Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse.

Logical decoding optimization

Utilize native Postgres features like the pgoutput plugin for highly efficient, high-throughput data extraction.

Managed cloud compatibility

Fully support both self-hosted PostgreSQL and managed cloud versions like Amazon RDS, Amazon Aurora, and Google Cloud SQL.

In-flight data filtering

Apply visual rules to filter specific rows or mask sensitive columns before the data ever leaves the Postgres source environment.

Robust fault tolerance

Prevent data loss with built-in checkpointing that automatically resumes streaming exactly where it left off after any network disruption.

Automated historical loads

Manage both the initial bulk load of historical data and the seamless transition to continuous CDC streaming within a single automated task.

Postgres CDC FAQs

Qlik uses log-based CDC. Instead of running resource-intensive queries against your tables, it reads the PostgreSQL Write-Ahead Log (WAL) via logical decoding, capturing row-level changes (inserts, updates, deletes) the moment they commit.

No. Because Qlik reads the transaction logs rather than querying the live database tables, the performance impact on your production PostgreSQL system is designed to be near zero, protecting your core operational workloads.

Yes, Qlik fully supports self-hosted PostgreSQL deployments as well as managed cloud database services, including Amazon RDS for PostgreSQL, Amazon Aurora, Azure Database for PostgreSQL, and Google Cloud SQL.

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