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

Transform with SQL

Prototype Data Sets

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.

SQL interface

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.

Load data from these legacy databases to Snowflake instantly​

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

Connect Snowflake with other data warehouses

Analyze data from Snowflake in your BI tool instantly

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Expand Analytical Capabilities

Go beyond the limitations of data replication and democratize the data management. Add a Logical Data Warehouse across data sources and Everything to Snowflake. Let data users define virtual data sets from data sources and tables loaded to Everything to Snowflake.

Migrate step-by-step

Use any BI Tool

Pre-aggregate data

Define virtual data marts with aggregations, groupings and joins. Lyftron will materialize pre-aggregated views. Avoid full table scans of fact tables and let Lyftron use pre-aggregates that are 1000x smaller.

Create a data catalog

Democratize data access and let data users define data sets, describe them in the data catalog and share with others.

Apply transparent security

Transparently apply dynamic data masking, row access security or pseudonymization of data. Secure access to any data with Windows Integrated Security.

Join with any source

Learn how Lyftron can help in analytics

Business Intelligence Acceleration

Learn how a combination of a data pipeline with a Logical Data Warehouse shortens Business Intelligence projects 4x.

Business Intelligence Acceleration

Build a Logical Data Warehouse across data sources. Let analysts find, define and share data sets. Combine replicated and real-time data.

Data Warehouse Modernization

Learn how to smoothly migrate to a new data warehouse and also change the way how users are finding and accessing data.

Data Warehouse Modernization

Move to a new Data Warehouse step-by-step. Create a modern Data Hub for Analytics that shortens the time to insights.

Hybrid Cloud Data Warehousing

Learn how to overcome the challenges of Hybrid Cloud connectivity across Data Warehouses, data sources and SaaS BI tools.

Hybrid Cloud Data Warehousing

Fedeza simulates SQL Server and will serve as a bridge for SaaS BI tools. Manage all data in one place and replicate to the Cloud when needed.


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