Leveraging Enterprise Data Hub With Diyotta & MAPR

Diyotta introduces a revolutionary architecture for Big Data integration on Cloudera.

MDI Suite is Certified on MAPR

An innovative, unified architecture, purpose-built for seamless Big Data integration, leveraging core components of the MapR architecture – including MapR-DB, Drill and Spark.

Diyotta – MAPR Featured Solutions

DIYOTTA-MAPR FOR ETL/ELT OFFLOADING
With Diyotta’s unique architecture, porting the existing ETL/ELT datacentric processes to Hadoop, via a combination of programming and HiveQL instructions, is extremely easy and highly optimized.
EXTENDING FUNCTIONALITY
FOR MAPR
Diyotta isolates developers from creating scripts, programs for data extraction, or transformations by providing a simple-to-use and intuitive GUI. This lets you leverage MapR as the data transformation engine.
UNIFIED SOLUTION WITH MAPR IN DATA LAKE ARCHITECTURE
Diyotta’s versatile capabilities let you work with multiple platforms in a seamless manner, providing a unified solution to manage all your Big Data integration of MapR with other repositories.

Diyotta-MAPR Solution Architecture

Diyotta and MapR provide a disruptive combination
for data integration and management on Hadoop

Large-scale, distributed computing platforms using Hadoop and data warehouse appliances on a unified data integration platform.

Delivering the highest level of performance possible for the execution of data transformation and validation.

Eliminating the intermediate ETL infrastructure, essentially reducing data latency. 
READ SOLUTION BRIEF

Diyotta delivers seamless data integration with MAPR without compromising on enterprise standards.

PURPOSE-BUILT FOR BIG DATA
Diyotta provides a unified data integration solution; which supports data lake architectures, ensuring optimal performance for extraction, loading and transformations.
FUTURE-PROOFED ARCHITECTURE
Diyotta used a metadata-driven approach, which allows you to leverage new technologies just by changing the configuration parameters.
FEATURE RICH
The features like compression, parallel extraction, multi-threaded loads, native functions support and optimized SQL; are built based on the target platform guarantee, full flexibility and optimization.