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.
Experience the power of the cloud with our modern data ecosystem
Supported data sources
Supported BI/ML tools
Related Snowflake Solution Briefs
Expand Analytical Capabilities
Migrate a legacy Data Warehouse either as a single Lift-Shift-Modernize operation or as a staged approach. Run dashboards both from the old Data Warehouse and the Cloud DW, switch the target when migration is finished.
Load data to the cloud
Connect 130+ on-premise and cloud data sources and set up continuous data synchronization of selected data to Amazon Redshift, Snowflake, Azure SQL DW or any other database.
Support any BI tool
Connect any BI tool using build-in SQL Server drivers through a fully simulated SQL Server protocol. Bridge a connection from SaaS BI tools to on-premise data and the on-premise Enterprise Data Warehouse.
Secure data in the cloud
Apply row-access security for data stored in the Cloud, apply dynamic data masking or use pseudonymization of PII data stored in the Cloud.
Empower data teams
Let data analysts and data scientists find and manage their data sets. Foster collaboration by creating a global Data Catalog of all valuable data sources.
One data portal
Lyftron is a single place to find and query all possible data. Use standard SQL to query legacy Data Warehouses, data sources in real-time and all Cloud Data Warehouses.