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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.
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.
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.
Forget complex dependencies and batch updates.
Let every data consumer access and use the data they need in real-time.
Imagine if your data pipelines only ingested data that changed. That's what Popsink's CDC does for you.
Popsink captures changes continuously, no need painful orchestration. When data changes, you know.
Popsink automatically pushes changes to your target systems, from databases to CRM, ERP, APIs, Webhooks...
Manage sources, targets, permissions, initial loads, replays, retries... all under one roof!
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
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
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
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
Data Infra Engineer
Going from batch to real-time is like going from printed newspapers to the web.
Marco Argenti
CIO
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
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
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
Software Engineer, Data Platform
Top performing data teams use streaming technologies to deliver best-in-class data products and services. With Popsink, you can do it too.
Our team has built many event-driven services, let's help make yours happen
We know live data is hard and how complex it is to ensure self-service and reliability. Fortunately all these problems have solutions we have deployed in the past. Today we implement them for your benefit, making it easy for you to understand and react to operational events as they happen.
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