Big data is continuing to grow, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured data, and the substantial increase in data volume.
To help make the process of identifying useful products and services easier, each year, DBTA presents a list of Trend-Setting Products, highlighting a commitment to innovation and to provide organizations with tools to address changing market requirements.
Several MV leaders including Kore Tech, Revelation Software, and Rocket Software continue to make an impact and again top this list.
Kore Integrate is a robust and enterprise-trusted data integration and warehousing tool designed for Rocket UniVerse and UniData (U2) database platforms, including but not limited to Epicor Eclipse, Prelude, Avante, DataFlo, IDS Astra, and Ellucian Colleague.
“Kore Integrate delivers a powerful suite of high-value solutions that equips clients and partners with robust Extract, Transform, and Load (ETL) and Enterprise Application Integration (EAI) capabilities. Beyond improving data visibility and operational efficiency, Kore Integrate enhances data quality and consistency—key requirements for organizations leveraging artificial intelligence (AI),” said Jameel Francis, CEO, Kore Tech.
Revelation’s OpenInsight is a repository-based applications development environment that enables development teams to work collaboratively to design, develop, deploy, and scale high-performance business solutions on leading messaging and client/server platforms.
“With OpenInsight 11, you’re not just getting a cloud-compatible tool; you’re getting a solution designed to make the most of every computing environment. We invite you to explore OpenInsight for yourself. See how it can support your business needs today—and where it can take you tomorrow,” said Mike Ruane, president and CEO, Revelation Software.
And Rocket Software’s Rocket UniVerse offers fast, flexible, resilient data management and app development with variable length, table-within-table architecture, speedy data access, and low maintenance.