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Streamline & optimize data ingestion.

Move and use all your data at sub-second speeds for a fraction of the cost of batch updates. Maximise your analytical and operational capabilities.

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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

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.

Speed Matters

In a world that rewards reactivity and responsiveness, would you rather have pictures of the past in batch updates or real-time insights with live triggers?

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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.