Covering Scientific & Technical AI | Saturday, June 20, 2026

Objectivity Joins Hortonworks Certified Technology Program 

SAN JOSE, Calif., March 15 -- Objectivity, Inc. today announced that it has joined the Hortonworks Certified Technology Program and has certified its ThingSpan solution with the Hortonworks Data Platform. By integrating with the Hortonworks Data Platform, the industry's leading 100-percent open source Big Data platform built on Apache Hadoop, Objectivity is enabling businesses to accelerate the time-to-insight of their Big Data and Fast Data applications.

"Objectivity and Hortonworks have teamed up to fully realize a massively scalable distributed graph and relationship analytics platform on Apache Hadoop. Objectivity's ThingSpan and Hortonworks Data Platform are seamlessly integrated to enable real-time graph analytics, pattern and anomaly detection, and relationship discovery for Big and Fast Data applications," said Brian Clark, VP of Products at Objectivity. "Our partnership with Hortonworks not only provides resiliency and provenance to ThingSpan, it also empowers Hadoop users to rapidly navigate and query extremely complex data at petabyte scale."

With Objectivity's ThingSpan and Hortonworks Data Platform, organizations now have purpose-built, proven technology natively integrated with the open source Hadoop ecosystem that remains performant during mixed workloads of high-speed ingest and querying. By ingesting streaming Fast Data using Spark and other Apache tools, such as Kafka, and storing archival Big Data in Hadoop, ThingSpan bridges the gap between data at rest and data in motion, enriching these two fused workflows in real time to power mission-critical applications involving the most complex datasets.

About Objectivity

Objectivity, Inc. delivers massively scalable and highly performant distributed database platforms that are proven to power mission-critical applications for the most demanding and complex datasets in the enterprise. Objectivity helps organizations to rapidly build new Spark Streaming-enabled solutions for finding connections and patterns through graph analytics within petabytes of data, stored in HDFS, to achieve real-time relationship discovery.

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Source: Objectivity