Data Engineers

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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Why AWS DMS fails at Replication and Change Data Capture

In theory, AWS Database Migration Service promises to deliver seamless, real-time replication from on-premise to AWS. In practice, data engineers have learnt the hard way that DMS falls short. If you’ve struggled with interrupted pipelines, incomplete/duplicate data, or opaque operational errors, you’re not alone.‍

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.