Built to Handle the Entire Datasphere

Quickly turn your Big Data into valuable information with unified data integration.

Limitless Scalability & Central Management

Diyotta comes ready-to-deploy with all the necessary components for fast and easy deployments. With the rise in data volume and variety,
Diyotta 4.0is purpose-built to integrate Big Data.

Supports multiple platforms: Hortonworks, Teradata, BigInsights, Cloudera, MapR, Netezza, and more.

Connect and access multiple source and target systems. Manage users, roles and security levels.

The MDI Suite uses agents to move data from source to target systems securely and efficiently.

Unified Approach to Data Integration

  • Manage data ingestion centrally across traditional and Big Data platforms.
  • Utilize Hadoop, MPP or NoSQL platforms as transformation engines.
  • Design data flows across multiple Big Data platforms.
  • Leverage native functions of processing target platforms for transformations.
  • Use native extract and load approach for optimal performance.

Analytics Solutions Provider Modernizes ETL With Diyotta

Health Lumen had over $100k in initial cost savings in just three weeks by implementing Diyotta to orchestrate data movements into Teradata, and were able to scale their architecture by using a modern ELT dataflow. Download the case study or watch the webinar to learn more.

Our Technology Benefits

Diyotta is purpose-built on a standardized architecture, with unified development, and metadata to manage data integration across multiple Big Data platforms. Diyotta incorporates a pure ELT approach to effectively leverage Big Data infrastructures. Diyotta eliminates the need for stand-alone ETL servers in order to fully leverage the inherent power of parallel processing data engines. This approach provides the fastest movement of data in any environment, and offers the highest performance in executing data transformations with lowest data latency possible.