How to Deploy Estuary In Minutes
How to deploy Change Data Capture (CDC) & Streaming ETL in minutes using Estuary
In this webinar
Build end-to-end real-time data pipelines using CDC and SQL or TypeScript in minutes.
Use Estuary connectors to create real-time and batch data pipelines across databases, apps, analytics, and AI.
Automatically infer data schema for relational, semi-structured, and other data, then add validation, tests, and policies for what to do with schema changes over time.
Use SQL or TypeScript to add streaming joins, aggregations, and other transforms.
Time travel to view historical data or automatically backfill data as you connect.
Estuary is building the next generation of right-time data solutions
We're creating a new kind of DataOps platform that empowers engineering teams to build real-time, data-intensive applications at scale with minimal friction. This platform unifies a team's databases, pub/sub systems, and SaaS around their data, without requiring new investments in infrastructure or development.
Estuary develops in the open to produce both the runtime for our managed service and an ecosystem of open-source connectors. We're passionate about providing data integration tools for users across a spectrum of use-cases, industries, and budgets.
Reliability without maintenance
Estuary delivers enterprise-grade stability, requiring no ongoing maintenance or complex configurations. Designed for high availability and durability, Estuary handles the nuts and bolts, so you can focus on building features, not troubleshooting pipelines.
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Automatic schema evolution keeps up with changing data.
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Guarantees data consistency across source and destination.
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Scales effortlessly to handle high-velocity data.

































