Popsink provides real-time tools that allows users to automatically capture, process, and deliver data in real-time across ressources, setting a new standard for data teams and those dependent on them.
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Automatically replicate changes across resources at sub-second speed. No more schedules and complex dependency triggers!
Capture, Process, and Replicate streams of changes in simple SQL. Say goodbye to redundant batches and storage!
Popsink is built with existing Data Warehouse users in mind: you already know everything you need to get started.
From single user to enterprise scale, Popsink combines everything you need to set up and manage continuous data pipelines with ease.
Test in minutes with dummy data, then scale to infinity with managed connectors.
We took care of complexity, your skills are enough!
Capture real-time events from your favourite sources using simple configurations.
Create dynamically updating tables in just SQL!
Automatically keep all your resources in sync as it happens.
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