Lyft, shift and load any data into snowflake instantly
Lyftron Data Pipeline manages connections to data sources and loads data to Snowflake. All transformations are defined in standard SQL and pushed down to data sources and Snowflake. Lyftron eliminates traditional ETL/ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake.
Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog. Lyftron shortens data preparation activities by letting data teams create logical data sets first, evaluate the data and delay the data loading until the data sets are verified or data loading is required.
Automatically Manage Tables
Lyftron creates target tables in Everything to Snowflake and picks the right data types.
Transform with SQL
Transform or filter the data using SQL that is pushed down to Everything to Snowflake. Enable a true Extract-Load-Transform to avoid extra data copies.
Prototype Data Sets
Avoid needless delay in data preparation. Define virtual data sets on source data. Verify and load to Snowflake when required.
Columnar data pipeline
High-performance modern Data Warehouses are all columnar and efficiently process data in bulk. Lyftron extends the columnar processing to the data pipeline, which speeds up data loading and transformation.
Fully simulated Transact-SQL interface (wire compatible with SQL Server) enables bridged queries to any data source or target Data Warehouse. No drivers or new skills are needed to run queries on any data.
Global data catalog
Categorize all data sets stored in the Cloud, essential data sources and valuable data sets defined by data analysts and data scientists.