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From small to massive data volumes, discover integrations that scale with you.
Popsink allows to instantly and automatically sink data into your data warehouse and data lake.
Easily connect your CRM and/or ERP to your existing and future data ecosystem using managed connectors.
With Popsink, you can automate your business processes
without the need for a database in the middle.
Popsink can capture data from both mainframe and cloud services and replicate from one to the other.
Give self-service abilities to your team and enable the true data potential of your business.
Make databases communicate with your systems like any service would to power the new generation of features.
Set up no-code connectors in minutes and use them to connect your tools and ressources. Popsink will automatically keep all connected ressources in sync in real time.
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.
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Let every data consumer access and use the data they need in real-time.
Popsink detects objects that are new, changed, or deleted and instantly propagate those changes.
Popsink's technology captures and syncronizes changes in under a second, allowing it to optimize load over time.
Popsink reads from logs, protecting your production databases from resource-hungry extracts and database LOCKs.
Schemas evolve and we know it. Popsink automatically handles schema changes to protect your pipelines.
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
Our team has built many event-driven services, let's help make yours happen
Top performing data teams use streaming technologies to deliver best-in-class data products and services. With Popsink, you can do it too.
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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