Oct 31, 2025

By Tim King , Executive Editor at Solutions Review Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of October 31, 2025. Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items. For early access to all the expert insights published on Solutions Review, join Insight Jam , a community dedicated to enabling the human conversation on AI. Top Data Management News for the Week Ending October 31, 2025 Actian Launches MCP Server to Bring Governed, High-Quality Enterprise Data Into AI Assistants Actian released its MCP server for serving governed, high-quality enterprise data directly into AI assistants and agentic workflows, enhancing trust, compliance, and automation in decision-making processes. New Survey From Collibra and Harris Poll Shows 86% of Tech Leaders Are Confident Agentic AI Will Drive ROI A Harris Poll survey commissioned by Collibra found that 86% of tech decision-makers believe agentic AI will provide significant ROI, but emphasize the need for robust data governance and trust frameworks as adoption accelerates. Ex-Googlers Create an Agentic Lakehouse for Databricks With Espresso AI Former Google engineers have launched Espresso AI, a platform that transforms Databricks into an agentic lakehouse. By employing LLM-driven automation, the solution optimizes cloud data warehouse use and reduces costs by up to 50%, aiming to help organizations maximize value with minimal manual effort. Immuta Finds Widening Gap Between Data Leaders and Practitioners on Governance Reality Immuta’s new survey reveals a growing gap between data leaders’ confidence and practitioners’ daily challenges with data governance, pointing to increased risk and highlighting the urgent need for practical trust frameworks and improved automation. Informatica Unveils New Capabilities Clearing the Path to AI-Ready Data Informatica launched new features for its AI data platform that streamline data quality, governance, and access, enabling faster, more reliable transitions to trusted, AI-ready enterprise data environments. Redpanda Acquires Oxla, Launches Agentic Data Plane for Governing AI Agents Redpanda acquired Oxla and introduced a new agentic data plane, combining distributed SQL and streaming data to provide robust governance, control, and intelligence for enterprise AI agents. SandboxAQ Launches OpenCryptography Database to Tackle Digital Trust Risks SandboxAQ released its OpenCryptography database, offering thousands of entries on cryptographic assets, risks, and vulnerabilities found across open-source software. The tool empowers enterprises, researchers, and policymakers to pinpoint weaknesses and plan for post-quantum security, enhancing visibility for remediation at scale. Teradata AI Services Deliver Production-Ready Agentic Use Cases Teradata launched new AI services designed for practical, production-ready agentic use cases, supporting autonomous decision agents and scalable deployment across hybrid cloud environments. Expert Insights Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools. Solutions Review is Getting Set to Host Informatica for ‘Build, Test & Deploy Production-Ready Enterprise AI Agents in Minutes’ on November 6 While AI agents boost innovation and business value, they bring challenges like ensuring data quality, managing complex integrations and maintaining governance at scale. The Informatica AI Agent Engineering platform makes building, testing and deploying AI agents simple by combining no-code development with enterprise-grade data management capabilities. Insight Jam is Getting Set to Host Datalere for the Jam Session ‘Evaluating the Business Value of Agentic AI’ on November 7 Agentic AI holds unbounded promise to automate business processes and turbocharge corporate productivity. Imagine dozens, hundreds, or even thousands of independent AI agents working collectively to solve business problems, respond to customer inquiries, and automate previous manual processes. A new ecosystem of tools, services, and applications is arising to deliver on the promise of agentic AI. Solutions Review is Getting Set to Host Broadcom for ‘De-Risk Your Cloud Migration: 5 Tips for Proactive Network Observability’ on November 18 For the next Solution Spotlight event, Solutions Review’s team has partnered again with Broadcom, a global provider of infrastructure technology. In this hour-long webinar session , Alec Pinkham—a Product Marketing Manager for AppNeta at Broadcom—will explain how to establish performance baselines with synthetic monitoring to identify bottlenecks and improvement areas before migration. Solutions Review is Getting Set to Host Informatica for ‘Enterprise AI Agents in Minutes: Fast-Track Agent Development & Deployment’ on November 20 Artificial intelligence (AI) agents can drive speed, intelligence and automation across your business. But moving from isolated pilots to production-grade systems requires a framework for secure, scalable communication. Without standards like Model Context Protocol (MCP), orchestration across agents and platforms can become unmanageable. This live webinar brings together Google Cloud and Informatica experts to share best practices for creating, managing and scaling multi-agent AI workflows. Editorial: The Rise of the Logical Data Strategy Artificial intelligence is both the ultimate consumer and the ultimate critic of enterprise data. Models are only as good as the data pipelines,  governance frameworks , and metadata systems that feed them. The generative AI boom has intensified scrutiny on these systems, forcing leaders to ask whether their data foundations are agile enough to support scalable intelligence. SR Thought Leaders: Oracle AI Data Platform and the Power of Incumbency by Kevin Petrie Oracle’s new AI Data Platform, unveiled at Oracle AI World, quickens the pace of cloud adoption and artificial intelligence (AI) innovation. Perhaps more importantly, it builds on Oracle’s heritage as an incumbent provider of on-premises systems. Cloud competitors AWS, Google, Databricks, and Snowflake lack this heritage business. Among the gorillas, only Microsoft has a similar legacy. SR Thought Leaders: Cloudera – From Acquisitions to AI Strategy by John Santaferraro Extracting value from AI is no longer just a good idea; it has become a board mandate. Budgets have been set, investments have been made, and now it is time to execute. With this in mind, Cloudera has been quietly chipping away at its quest to become a leading data and AI vendor. Through a series of strategic acquisitions—Verta, Octopai, and Taikun—they are putting the right pieces in place to deliver on a cohesive vision to become an end-to-end data and AI platform provider for everyone from startups to enterprises. SR Thought Leaders: Data Governance Don’t Come Easy by Bob Seiner If you’ve ever heard Ringo Starr belt out “It don’t come easy, you know it don’t come easy,” you’ve probably tapped your foot and nodded your head in agreement – even if you weren’t thinking about data governance at the time. But let’s be honest – that song could be the unofficial anthem for every data governance practitioner who has ever tried to formalize accountability, improve data quality, or get anyone to care about metadata. Just like Ringo says, it takes time, it takes patience, and it definitely takes help from your friends.