Take data from Stripe and load to any data warehouse or analyze instantly

Lyftron replicates data from Stripe to a target Data Warehouse. Lyftron expands analytical capabilities by enabling both real-time access to Stripe and access to replicated data in the Data Warehouse, whatever is needed.

Stream data from Stripe into three easy steps

Lyftron Data Pipeline connects to Stripe and replicates data to a target Data Warehouse. All transformations are defined in standard SQL, which are pushed down for better performance.

Register the Data Source

Connect to Stripe and import metadata. Register essential data sets in the catalog and begin real-time analytics.

Transform with SQL

Transform or filter the data using SQL that is translated to Stripe. Combine the data with other data sources.

Load to a Target Database

Automatically convert data types from Stripe to match the target database types. A columnar data pipeline will load the data without delays.

Join Stripe data with any sources and create your data hub in minutes 

Connect Stripe in your data warehouses

Analyze data from Stripe in your BI tool instantly 

Expand Analytical Capabilities

Go beyond the limitations of data replication and democratize the data management. Add a Logical Data Warehouse across Stripe, the target Data Warehouse and any other data sources that may be combined with Stripe.

Lyftron Logical Data Warehouse

Query with SQL in Real-Time

Not all data sources must be replicated to a data warehouse to be usable for analytics. Use SQL for any data source and also query data in real-time.

Use any BI Tool

Lyftron fully simulates SQL Server on the wire so you can use standard SQL Server drivers available in all BI tools and query Stripe or combine it with other data sources.

Accelerate BI by Prototyping

Shorten BI projects by 4x with a simple trick. First define all required data sets virtually. Build the dashboards on real-time data, consult with business users and replicate the data only when required.

Learn how Lyftron can help


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