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.
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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 on batch updates.
Let every data consumer access and use the data they need in real-time.
Easily capture events in real-time from all your sources using our managed connectors.
Create dynamically updating tables in simple SQL. Forget stale dashboards.
Automatically keep all your resources in sync at sub-second speeds.
Give your organization the means to keep every data consumer happy.
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.
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.
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.
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.
Data Infra Engineer
Going from batch to real-time is like going from printed newspapers to the web.
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.
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!
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.
Software Engineer, Data Platform
Our team has built many event-driven services, let's help make yours happen
Looking for some solid data principles and tenets to guide your organization’s data decisions and the tradeoffs they have to make? Here they are, copy at will!