
Cosuno
“Estuary just works. We’ve never had an incident, and it cut our data movement costs in half.”
Log-based CDC, SaaS, and batch unified in an event-driven ETL architecture. Set it up in minutes and trust it in production, from your first table to petabyte scale.
Trusted by leading data and AI companies
Your fraud checks need data in milliseconds. Your finance reports need it twice a day. Most teams run two tools that read the same data twice. Estuary reads it once, stores it in your own cloud, and delivers it to each destination at the speed it needs.
Read each source once, capturing changes down to nested fields, with minimal load.
Schematized, durable storage in your cloud bucket. Handled automatically.
readswrites back
Materializations recreate the right state at the destination, every time.
99.9%uptime
Add a warehouse, search index, and Salesforce sync from one capture.
Sub-100ms for fraud checks, hourly for finance reporting, one pipeline for both.
Estuary replays from its own durable history, without touching production.
SOC 2 Type II, HIPAA, GDPR, and CCPA/CPRA, with the option to run in your own cloud.
Schema evolution propagates downstream, automatic backfills, exactly-once delivery, 99.9% uptime.
Sources and destinations (Postgres, SQL Server, Snowflake, ClickHouse and 200 more), built and maintained by us. If yours isn't here, point the AI connector builder at an API spec and you'll get something you can test locally with our CLI. Or ask us to build it if you're on Enterprise.
Estuary is the AI data integration platform that keeps the context layer current and gives your agents a way to work with pipelines directly.
Agents connected to Estuary through MCP can inspect, observe, edit, and even build new pipelines.
New connector builder skills can make connecting to new sources and destinations a breeze.
Classify, enrich, and embed records inside a derivation as data arrives, enabling in-pipeline reasoning.
Coming soon: bring your own LLM
For AI systems like ours, freshness of data is everything. Estuary gives us sub-second latency without the complexity of maintaining streaming infrastructure ourselves. That reliability means our teams can focus on advancing AI models instead of pipelines.
From shared infrastructure to a dedicated data plane in your own account.
Priced on data moved in GB and connector instances. Predictable pricing with no seats, no minimums, and no surprise bills.
than row-based pricing, for the teams who switched. Sometimes much more.
Lower replication costs with Snowflake spend down another 30%.
Lower spend on data pipelines after leaving per-row pricing, with faster data at no extra cost.
Reduction in data integration costs on a private deployment built for maximum security.
Per-task latency, throughput, and lag, live in the web app.
Detailed logs for debugging, and a full CLI for bulk edits and CI.
Email or Slack notifications when a pipeline stops moving data or fails.
Pipeline metrics are exposed over an OpenMetrics API for external monitoring.
Costs go down, pipelines stop breaking, and an engineer answers in about 30 minutes.
Set up your first pipeline in minutes, free and with no commitment. You'll see the difference in latency and cost.
No credit card required · 30-day free trial
