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.

Try for Free

Book a demo

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.

Get started for free

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

Start Free Trial

Book a live demo

Latest posts

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

Discover our blog

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.