Data integration for Snowflake that holds up
One platform for CDC, streaming, and batch to and from Snowflake. Managed, with public, private, and BYOC deployment options.
Bad ingestion doesn't just break pipelines. It shows up in your Snowflake bill.
When CDC tools fall back to incremental queries, you end up paying for it. Sequential loads, inefficient merges, and high compute consumption add up fast, and the data still isn't fresh when your team needs it.
Let's talk about your Snowflake data integration needsNumbers from actual Estuary customers
40%
Headset cut Snowflake compute costs by 40% after switching from Airbyte, with 100% data integrity and no missing records
50%
Curri reduced data sync costs by 50% vs. Fivetran, and eliminated a 12-hour Stripe payment sync lag with real-time CDC
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50%
Livble achieved 50% cost reduction while reaching real-time operational excellence, replacing batch pipelines with log-based CDC
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What makes Estuary different
Built for teams that need data in Snowflake to be fast, reliable, and cost-predictable.
Log-based CDC that stays running
Estuary reads directly from database transaction logs. No incremental queries, no replication slot drops, no source database impact.
Predictable pricing
No MAR-based surprises, no per-connector fees. You know what you're paying before your contract comes up for renewal.
One source, many destinations
Capture data once and deliver it to Snowflake, S3, ClickHouse, or wherever your stack is going. No duplicate pipelines, no redundant ingestion costs.
Flexible deployment
Public cloud, private deployment, or BYOC. Your data stays where your compliance team needs it.
Batch and Real-Time CDC in one system
Estuary supports both scheduled batch loads and continuous log-based CDC within a single ingestion layer.
Our log-based CDC reads directly from database transaction logs, capturing committed changes in order with minimal impact on source systems.
“We didn't want to be locked into a system where faster syncs meant higher bills. Estuary gives us real-time pipelines without pricing games or the burden of running Kafka ourselves.”
Combined with a streaming-first architecture, this supports:
Continuous replication into Snowflake
Controlled delivery timing
Predictable scaling as write volume grows
Efficient resource usage
Batch and real-time replication run through the same system, reducing coordination between tools.
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