Data management challenges are easier with Lyftron modern data hub features
All data sources and data transformations are defined in SQL which enables both simple and complex data transformation task.
Effortless modern data hub
Transform with SQL
Define data transformations as a standard SQL. Lyftron pushes down SQL to data sources and the cloud.
Use any BI tool
Connect any BI tool to data sources or replicated tables. All sources and data pipelines are accessible from a single ODBC/JDBC/ADO.NET driver.
Prototype data sets
Avoid needless delay in data preparation. Define virtual data sets before starting a data pipeline.
Real-time data replication
Lyftron enables near real time data replication on the fly. Treat yourself with our simplicity and eliminate complexity.
Continuously load data to destination with minimal impact on source systems.
Lyftron offers an exceptional ability to install on premise, Additionally it also allows one to add more layers of encryption and protect sensitive data automatically.
Built-in Apache Spark
Simply start Lyftron, connect data sources and use a built-in Apache Spark as a Data Lake. Migrate to a bigger instance later.
Simple Interface - no coding needed
Easy to use click-based user interface delivers a codeless development environment.
Cost-effective licensing model
Lyftron provides fixed price licenses which gives incredibly unlimited data volumes and the power to process efficiently.
High performance, cloud friendly
Best in class data transfer speeds along with advanced monitoring and guaranteed delivery.
Lower infrastructure costs
Leverage the existing power of DBMS hardware engines, rather than relying on external staging servers & scale with ease.
Allows users to Integrate all types of data without writing any code through a codeless development environment increasing developer productivity.
High speed performance – the technology does not work on data row by row like traditional ETL products, but does so in set and bulk operations.
Prebuilt transformation templates
Use default templates for common transformations like Star Schema and integration techniques eliminating time spent on tedious tasks.
Complex data parsing capabilities
Complex Data Parsing capabilities are built into the tool – Access and parse complex data types including Web logs, JSON and XML files.
Cost-effective data management
Satisfy your thirst for better data outcomes.
What challenges are you trying to solve?