Data Lakes and Warehouses
Feed your lakes and warehouses with data that's always fresh, never stale.
Flash Pack
“Flash Pack, a solo travel company, used Estuary to build a scalable, real-time data pipeline in two weeks, enabling reliable analytics with minimal engineering effort while reducing costs and complexity.”
Success StoryMaximize the Power of Your Data Lakes and Warehouses
Integrate any data source to all major data warehouses with Estuary Flow. Our support for ELT and dbt cloud integration streamlines operations, giving your team the tools they need to transform and load data efficiently.
Real-Time and Batch Data Integration
Estuary Flow supports real-time and batch workflows for smooth data movement into lakes and warehouses, powering both real-time analytics and historical reporting with adaptable pipelines.
Support for real-time and scheduled batch ingestion.
Low-latency updates keep your data warehouse current.
Unified pipelines simplify management across various workloads.
Native Warehouse Integration
Estuary Flow integrates natively with industry-leading data warehouses. Fabric, Snowflake, Databricks, or BigQuery - our platform makes connecting and managing your data straightforward.
![]()
Optimized connectors for major cloud data warehouses.
![]()
Real-time ingestion to support time-sensitive analytics.
![]()
Simplified ELT workflows for scalable transformations.
Data Lakes Made Real-Time
Supercharge your data lake architecture with real-time streaming capabilities. Estuary Flow supports tableformats like Apache Iceberg, enabling businesses to build scalable lakehouses that combine the best of lakes and warehouses.
Real-time writes to data lakes with schema evolution.
Support for Apache Iceberg and other modern lake formats.
Power both analytics and operational workloads from a single source.
Streamlined ELT with dbt Cloud
Leverage dbt Cloud directly within your data pipelines to transform raw data into actionable insights. Estuary Flow ensures efficient ELT workflows, reducing complexity and increasing agility.
Declarative transformations using dbt models.
Automated integration with dbt Cloud for seamless deployments.
Real-time pipeline updates trigger transformations immediately.
Seamlessly Integrate with Top Warehouses and Lakes
materialization
Apache Iceberg
Iceberg is a high-performance data lake format which enables the reliability and simplicity of SQL to big data. It makes it possilbe to use engines like Spark, Trino, Flink, Presto Hive and Impala to work with the same tables concurrently.
materialization
Databricks
Databricks, Inc. is an American software company founded by the original creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. The company develops Delta Lake, an open-source project to bring reliability to data lakes for machine learning and other data science use cases. Keep an always up-to-date view of your source data in Delta Lake with this connector.
materialization
MotherDuck
MotherDuck is a managed DuckDB-in-the-cloud service.
materialization
Snowflake
Snowflake is a cloud-based data warehouse that offers highly scalable and distributed SQL querying over large datasets. Using OLAP (Online Analytical Processing), Snowflake offers the ability to rapidly answer multi-dimensional analytic database queries with potentially large reporting views by breaking each query up between many worker nodes and reassembling the finalized answer.
materialization
Google Bigquery
BigQuery is a serverless, cost-effective and multicloud data warehouse designed to help you turn big data into valuable business insights. Start free.
materialization
Azure Fabric Warehouse
Fabric Data Warehouse is a next-generation data warehousing solution within Microsoft Fabric.