Automated Data Movement
Faster, Easier, Cheaper

Automatically capture, transform, and deliver all your data at sub-second speeds to every consumer. Overcome the costs & limitations of conventional batch ELT/ETL tools and set a new standard for your operations and analytics.

14-days free trial • No credit card required.


Automatically replicate changes across resources at sub-second speeds. Forget schedules and complex dependency triggers! Everyone and everything is always up to date.


Switch to real-time pipelines in minutes with managed connectors. Everyone in your data team can create powerful live data services with SQL. No hefty migrations or training.


Popsink builds upon modern data streaming technologies to enable real-time data replication and transformation for a fraction of the cost of a batch update.

One platform, all of your data workflows.

From single user to enterprise scale, Popsink combines everything you need to switch to sub-second data pipelines in minutes. Centralise, exchange, govern and pilot in real-time from a single hub.

Create dynamic tables in simple SQL.

Easily transform your data with SQL to create modern data products and services that update in real time. Test in minutes with dummy data, then scale to infinity with managed connectors.

Live data at your service.

Forget complex dependencies on batch updates.
Let every data consumer access and use the data they need in real-time.

Capture data in real-time.
Stream Ingestion

Sub-second Data Streams.

Easily capture events in real-time from all your sources using our managed connectors.

Build real-time jobs. Fast.
Stream Processing

Live Processing in SQL.

Create dynamically updating tables in simple SQL. Forget stale dashboards.

Ship data, as it happens.
Stream Activation

Real-Time Data Replication.

Automatically keep all your resources in sync at sub-second speeds.

The home of event driven teams
Streaming platform

Unify Data & Operations

Give your organization the means to keep every data consumer happy.

Data-driven teams are switching to real-time.


An organization that works with a data-driven data-centric and data-derived approach can take practical steps to analyze its data streaming pipelines in real-time to provide a granular and accurate view of what’s happening in the business.

Adrian Bridgwater

Adrian Bridgwater

Senior Contributor


Popsink is the perfect tool to enable your domains to own #dataproducts in a #streamingdatamesh . #SQL is the way to bring all data personas together because only together can we build a mesh.

Hubert Delay

Hubert Delay

Solutions Architect


Avec le CDC on a échangé nos bugs de réplication contre des données toujours à jour mais surtout qui ne divergent pas avec notre base de données de production, et ce, pour un coût plus que raisonnable.

Keurcien Luu

Keurcien Luu

Head of Data Engineering


[Streaming] has been a tremendous help in processing our data and events. It enables us to process and analyze large amounts of data in real time with high scalability and reliability.

Qingyuandi Lin

Qingyuandi Lin

Data Infra Engineer


Going from batch to real-time is like going from printed newspapers to the web.

Marco Argenti

Marco Argenti



In 2023 data streaming is not just about BI and reporting, you can do so much more: Streaming ingestion into a data lake, Streaming “ETL”, Data integration, User-facing data products.

Yaroslav Tkachenko

Yaroslav Tkachenko

Principal Software Engineer


Thanks to event streaming in our data operations, we can detect enomalies earlier and prevent them from impacting downstream services. That’s a massive ops benefit!

Hubert Delandre

Hubert Delandre

Head of Data


We turned to an event bus — a pipeline that receives events — and built a modern data stack that can support a variety of data science and analytics applications.

Zachary Klein

Zachary Klein

Software Engineer, Data Platform

Data to value
in <1 second

Top performing data teams use streaming technologies to deliver best-in-class data products and services. With Popsink, you can do it too.

Architecture Overview

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