ORCHESTRATING DATA MOVEMENT & INTEGRATION IN

BIG DATA ENVIRONMENTS

Diyotta is a pioneer in modern data integration, offering the fastest solution to orchestrate the connection, movement, integration, and transformation of data in real-time from all sources. Diyotta's Modern Data Integration Suite removes the bottlenecks of ingesting, transforming, and provisioning Big Data to help organizations avoid the costs of creating and maintaining custom code.

Take the Modern Data Integration Suite for a test drive to experience the speed, efficiency, and flexibility of Diyotta’s technology.

  • Design
  • Once Reuse Many Times
  • Design and reuse big data blending and transformations
  • Accelerate
  • Time to Analytics
  • Speed the data blending and enrichment in Hadoop
  • Adapt
  • At Business Speed
  • Adapt environments to meet changing business needs

Reuse and share data blending and transformation rules through the Modern Data Integration Suite’s Studio to save your team time and resources as needed.

TAKE A TEST DRIVE

Try Diyotta's Modern Data Integration Suite for free! Installations are fast and compatible with any existing architecture. We believe that once you have experienced the Modern DI Suite's power, speed and ease of use, you will be ready to move to modern data integration for your Big Data environments such as Hadoop, Massively Parallel Processing, and NoSQL platforms.

TAKE A TEST DRIVE

Complete Modern Data Integration Solutions for Big Data and Modernization Initiatives

  • Data Lake
  • Setup a Hadoop data lake and start ingesting Big Data in hours, not months
  • ETL Offload
  • Become more agile and efficient in processing Big Data

MODERN DATA INTEGRATION SUITE

Diyotta’s Modern Data Integration Suite is the industry’s first platform that is purpose-built for Big Data, modern data and the cloud. We accelerate the usability and value of Big Data platforms such as Hadoop and enable data warehouse modernization. The Modern Data Integration Suite offers a unique combination of design, speed and adaptability.

BIG DATA & MODERNIZATION

To keep up with the evolution of Big Data, organizations need to modernize their architectures. The rising costs of maintaining traditional architectures and custom code has lead to a paradigm shift in data integration. By moving to modern data integration, organizations can reduce ownership costs and ETL bottlenecks simultaneously, and modernize data architectures to handle future challenges.