DBTA Readers' Choice Award Winners (2025)

Aug 6, 2025

By Stephanie Simone

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The amount of data and its complexity has been growing at a rapid clip and shows no sign of stopping. To contain this data, organizations have been introducing different types of database platforms alongside relational solutions.

However, concerns about the costs have more than doubled during the past year, security and compliance issues abound, and worries about licensing have begun to appear.

According to a recent industry report from Redgate, in 2025, there is “a consolidation, a shakedown, as organizations move beyond the promised potential of multiple databases, the cloud, and AI, balancing the advantages to be gained with the added complexity they bring, and the ever-present need to safeguard data.”

While AI has exploded in popularity, being used in some companies for mundane tasks, the report found that “[o]nly 15% of organizations are using AI in the context of database management, down from 20% in 2023.” The top three tasks AI is being used for are code reviews, query optimization, and data modeling and schema design.

However, data security and accuracy are the most important concerns holding organizations back from fully adopting AI. These are followed by ethical considerations, regulatory compliance, and training and expertise.

It appears that while organizations are playing catch-up to address their concerns about data privacy and reliability, more than half will be adopting AI for database management use cases in the next 2 years.

“Time-forecasting predictions, synthetic data generation, utilizing ChatGPT to help write SQL queries … that’s just a sample of what Redgate is doing with AI right now, in the knowledge that any AI solutions we create support human workflows rather than replacing them,” said Jeff Foster, director of technology and innovation at Redgate.

With more and more data being created than ever before, making the right choices among the countless options for data management and analytics solutions is a top priority for many organizations. To help organizations progress along their data-driven journeys, each year, DBTA presents the Readers’ Choice Awards, which provide the opportunity to recognize companies whose products have been selected by the experts—our readers!

Representative of the IT market itself, the categories in the competition are diverse, ranging from well-established technologies such as MultiValue and relational database systems to newer products and services for AI, DataOps, data mesh and fabric, IoT, and more.

Here, we present the top three vote-getters in each category. Congratulations to all, and thanks to everyone who submitted nominations and voted!

Best AI Solution

Best Cloud Database

Best Cloud Solution

Best Data Analytics Solution

Best Data Governance Solution

Best Data Integration Solution

Best Data Lakehouse Solution

Best Data Modeling Solution

Best Data Platform

Best Data Fabric

Best Data Mesh

Best Data Quality Solution

Best Data Security Solution

Best Data Storage Solution

Best Data Virtualization Solution

Best Data Warehousing Solution