Analytics Engineers

Power your models with live data.

Data analytics can be more than pretty dashboards with stale batch data. With Popsink, automate the flow of data in real-time and turn insights live.

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1000x faster

Than scheduling a transform.

10x less effort

Than managing batch operations.

Up to 3 times

Cheaper than batch ETL tools

Reuse your existing work

Turn periodic models into dynamic ones in simple SQL. No more scheduling hassle. Insights are computed and served in real-time to every data consumer.

Built for Production

Services communicate in events. Delivering tables to consumers may be fine for a dashboard but serving operational use-cases requires operational abilities.

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Our team has built many event-driven services, let's help make yours happen.

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Latest posts

Our team has built many event-driven services, let's help make yours happen

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Popsink Source Connector for Snowflake

We’re excited to share a new connector in Popsink: Source Connector for Snowflake. This new connector enables Change Data Capture (CDC) directly from Snowflake as a data source. For data teams, this means automated, continuous and consistent data replication from Snowflake.

Managing Change Data Capture (CDC) in Snowflake

Change Data Capture (CDC) empowers Snowflake by enabling highly efficient, scalable, and cost-effective data pipelines tailored to its architecture. It enhances Snowflake's performance and resource utilization, minimizing compute overhead and storage costs.

Preparing for Change Data Capture with DB2 on IBM i (AS/400)

Learn how to implement Change Data Capture (CDC) on DB2 for IBM i (AS/400) with minimal impact on source systems. This blog covers setup, how to estimate usage, and practical scripts for managing journal lifecycle for you to be able to replicate data safely and reliably.