Hadoop Integration

The Modern DI Suite Works on All Hadoop Distributions

A certified solution, purpose-built for Big Data with fast implementation for quick returns on your hadoop investments. Transform Hadoop into a powerful hub.


A unified metadata-driven solution to manage data integration on the Hortonworks data platform and traditional data warehouses.

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A unique design approach for defining data transformation and integration processes. Utilize Hadoop by leveraging a seamless solution between Hive and Impala.

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A unified architecture purpose-built for seamless big data integrations that leverage core components of the innovative MapR architecture including MapRFS and Spark.

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With the in-memory technology from Spark and the scale-out capabilities from Hadoop, Diyotta delivers a high-performing Big Data integration solution on Splice Machine RDBMS.

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Diyotta leverages GPFS and BigSQL – the core components in IBM BigInsights, to provide enterprise-class file management and Hadoop SQL processing.

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Diyotta natively integrates with the Pivotal Big Data Suite on ODPi, utlizing Pivotal’s proven scale-out databases including: Pivotal Greenplum and Pivotal HDB.

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Diyotta Makes Hadoop Gather Valuable Data Faster

Centrally manage all business rules and design data flows easily to maximize Hadoop investments. Watch the Sprint video to learn from their experiences.

  • Maximize today’s technologies and future-proof architectures for maximum ROI
  • Bring enterprise data standards to Big Data analytics and the cloud
  • Remove unnecessary complexities of data integration
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Data Integration Is 70% of Every Big Data Project

A large portion of Big Data projects are delayed through the use of traditional data integration approaches. With Diyotta’s Modern Data Integration Suite’s automated code generation, organizations can reduce the implementation and complexity of most Big Data projects. Historical results show that 70% of every project involves movement and integration of data and Diyotta offers a single solution to orchestrate the implementation and configuration on Hadoop, MPP and NoSQL platforms.


Data Ingestion for Hadoop

Organizations need a solution to ingest data from various legacy, operational and new source systems which could be structured, semi-structured or unstructured. Diyotta’s purpose-built Modern Data Integration Suite for Hadoop helps organizations provide a robust data integration framework for Big Data architectures. With Diyotta’s Modern Data Integration Suite, you can easily scale out data processing on-premises, in the cloud or hybrid environments. In addition, data can be rapidly ingested using wizards provided by the MDI Suite for users with limited or no knowledge of Hadoop.

Data Transformation and Processing on Hadoop

Through the Modern DI Suite, users can accelerate the implementation of data logic within Hadoop and deliver immediate business value. Diyotta provides native functional libraries to support data transformation in Hadoop using Hive, Impala, Spark and many others. Users can perform complex processing by using the MDI Suite that dyanmically generates Hadoop native code.


Data Provisioning from Hadoop

In order to make important business decisions, people need data. Diyotta’s MDI Suite provisions data from Hadoop to downstream applications or users. The MDI Suite includes a graphical user interface with intuitive navigation for designing data flows and helps make data available quickly and efficiently.

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Diyotta’s Modern Data Integration Suite makes Big Data easier to manage. Large organizations such as Sprint, Bank of Nova Scotia and Philip Morris International are utilizing Diyotta’s technology to transform Big Data into powerful business solutions. They are also experiencing faster response times, lower costs and data lineage for complete transparency. Contact us to learn how your organization can benefit from Diyotta’s technology.