RESEARCH & RESOURCES

Diyotta 4.0 Integrates Cloud, Streaming Data for Multiplatform Data Architecture

Update enables enterprise-class data integration for Spark Streaming and cloud-based data warehouses.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Diyotta, Inc., a data integration solutions provider, has released Diyotta 4.0, a data integration solution that combines cloud and streaming data with all other enterprise data to form a complete enterprise data fabric. Organizations with complex multiplatform data environments can expect to accelerate the development life cycle and shorten the time to value with greater ease of use, better access to diverse and emerging data sources, and superior enterprise class data integration.

Most data warehouses are now multiplatform data architectures, consisting of many types of data platforms, tools, pipelines, and databases, distributed across on-premises and cloud systems. The upside is that this diverse toolset provides targeted storage and processing options for diverse data and its growing number of business use cases. The downside is that integrating numerous, diverse datasets and platforms into a cohesive architecture is difficult for technical users,” said Philip Russom, senior research director for data management at TDWI. “Diyotta 4.0 provides a unified architecture for batch, cloud, and streaming that can weave a cohesive data fabric from the diverse and distributed threads of a multiplatform data architecture.”

Diyotta 4.0 simplifies the transition to cloud data warehousing and manages the entire data integration process for Snowflake Computing, Amazon Redshift, and Google BigQuery with an easy-to-use Web-based integration studio. In addition to including cloud-based data warehousing, streaming data is now fully integrated into the data fabric, allowing data engineers to easily mix historical insight with data streams and business users the ability to spot and harvest the most critical information from data in motion.

With the addition of streaming and native integration with the leading cloud data warehouses, Diyotta is a modern data integration solution that brings enterprise strength to the entire emerging data landscape in a single tool.

To learn more about Diyotta 4.0, attend a Webinar on Monday, May 15, 2018 at 1:00pm ET/10:00am PT: “Managing Data Integration for Multi-Platform Data Architecture with Diyotta 4.0”

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