Stream data from Apache Kafka to PostgreSQL
Sync your Apache Kafka data with PostgreSQL in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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- 7+GB/SECSingle dataflow
How to integrate Apache Kafka with PostgreSQL in 3 simple steps using Estuary Flow
Connect Apache Kafka as Your Real-Time Data Source
Set up a real-time source connector for Apache Kafka in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure PostgreSQL as Your Target
Choose PostgreSQL as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:
Real-time CDC and batch ETL/ELT pipelines with sub-100ms latency.
No-code pipelines, automatic schema evolution, and developer-friendly CLI.
Secure, scalable deployments with Private Link support up to 40% lower data warehouse costs.
What customers are saying
Seattle Data Guy
"Estuary makes working with real-time data more cost effective and just as simple as working with batch data."
Scott Vickers, CTO, Headset
Estuary has been a game-changer for Headset’s data infrastructure. Compared to our previous solutions, it has dramatically improved reliability while reducing our overall costs significantly.
Revunit
"Estuary is our preferred CDC solution for importing data from application databases into BigQuery for analytics. It offers a transparent pricing structure, timely support responses, and an intuitive CLI tool for bulk configuration tasks. In contrast, other market solutions often have ambiguous pricing and fewer options for precise data replication across environments. This makes choosing to use Estuary an obvious decision."
Pompato
"This tool is 1000x times better than LogStash or Elastic Enterprise Data Ingestion Tool."
PDI.
"Estuary Flow makes tough data transformation problems a piece of cake with its intuitive user interface and incredible breadth of features."
OneCommerce
"Estuary Flow is the only SaaS tool that we found which can do a simple loop and calculate COGS from an array of objects nested in a property. We love to write transformations in typescript because it's in the same codebase and super easy to maintain and read. It's a true game changer."
Minima Global
"Getting #MINIMA real-time data replication out to the Postgres database was not fun until we found @EstuaryDev it is the best materialization."
Forward
"Our migration away from Rockset would’ve been 100x harder without the unique capabilities that Estuary provides. We’re materializing transformations from Snowflake, DynamoDB and MySQL to our warehouse in under a second. Estuary unlocks incremental materialization for any datastore while also providing a Kafka interface for all of our sources and derived collections. We now have an immense amount of flexibility to support any type of workload on our data platform."
Flashpack
“We're a big fan of Estuary's real-time, no code model. It's magic that we're getting real time data without much effort and we don't have to spend time thinking about broken pipelines. We've also experienced fantastic support by Estuary."
Fenestra
“We needed a platform to help us optimize marketing campaigns with low-latency. Estuary provided an unparalleled solution to do that at terabyte scale."
DeepSync
“Estuary Flow allows us to integrate low-latency CDC and connect to SaaS apps across our entire reporting stack and it’s the only solution that we’ve found that lets us do both.”
Coalesce
“Estuary is the only system we’ve found that can seamlessly replicate large scale Firestore data for analytics. After months of research and trying everything, we can confidently say that Estuary is the only company that can help us get easy, accurate analytics on our data within Snowflake when replicating from Firestore data."
Increase productivity 4x
With Flow companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Flow decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
Data moved
It's free up to 10 GB/month and 2 connector instances.
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FAQ
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Apache Kafka connector.
- Enter Details: Add your Apache Kafka connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Apache Kafka capture, and publish.
1. What is the difference between ETL, ELT, and CDC?
ETL extracts data from sources, transforms it, and loads it into a destination. ELT loads raw data first and transforms it within the destination for flexibility. CDC captures real-time changes (inserts, updates, deletes) and syncs them to the destination.
Estuary Flow supports real-time CDC, ETL, and ELT, allowing you to choose the best approach for your needs.
2. What is Apache Kafka?
3. How do I Transfer Data from Apache Kafka?
4. What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
Getting started with Estuary
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Make sure you read through the documentation, especially the get started section.
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Join Slack CommunityEstuary 101
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
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DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.
