Redshift ELT Data Integration
Enterprise grade modern data pipeline software for Amazon Redshift
Your complete data preparation workbench- Engineered for
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Intended, Fabricated and Plotted For RedShift
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ELT Processing for faster query performance
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Codeless Development Environment
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Integrated Metadata views
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Big Data Integration with Hadoop
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Attractive and Up-to-date user interface
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Set and Bulk operation processes
DESIGNED FOR AMAZON REDSHIFT
Designed for Amazon Redshift
Quicker query performance with ELT
Support & Services
Use the most advanced log based change data capture Lyftron technology with Lyftron to detect and load incremental changes without any interference and seldom impact on the source systems. Lyftron supports sources for log based synchronization includes SQL Server, MySQL and Oracle.
Lyftron is equipped with the most intuitive and user friendly interface. Within a couple of clicks, you can load, transfer and replicate data to any platforms without any hassle. Do not worry about codes or scripts.
Gauge with ease
FEATURES
LOWER INFRASTRUCTURE COSTS
Control the existing power of DBMS hardware engines, rather than depending on external staging servers & scale with ease.
CODELESS DEVELOPMENT
Allows users to Integrate all types of data without writing any code through a codeless development environment increasing developer productivity.
HIGH-SPEED PERFORMANCE
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
Works with the chosen web service platform allowing users to manage large data volumes at an unprecedented low cost.
Common use cases
Lyftron provides integration from
Supported data sources
Satisfy your thirst for better data outcomes.
What challenges are you trying to solve?