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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of February 28, 2025.<\/strong><\/em><\/p>\n 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.<\/p>\n For early access to all the expert insights published on Solutions Review<\/em>, join Insight Jam<\/em><\/a><\/strong><\/span>, a community dedicated to enabling the human conversation on AI.<\/p>\n It augments and replaces traditional data quality, and governance tools, data catalogs, with a unified AI-driven platform, transforming how enterprises manage and optimize data. By leveraging AI agents, contextual memory, and automated actions, Agentic DM ensures data is always reliable, governed, and AI-ready\u2014without human intervention.<\/p>\n Rohit Choudhary<\/a>, Founder and CEO at Acceldata.io, said: “Acceldata Agentic Data Management enables true autonomous operations, which is intent-based and context-aware.”<\/p>\n Read on for more<\/a><\/p>\n The Data Trust Report suggests that organizations must reframe their thinking to see compliance as the foundation for long-term business value and trust. The report found that 42 percent of organizations prioritize regulatory compliance, but only 26 percent focus on it within their data teams. This highlights blind spots with real-world consequences like regulatory fines and data breaches that can erode customer trust, financial stability, and competitiveness.<\/p>\n Read on for more<\/a><\/p>\n With a modular, AI-assisted architecture, BigID Next empowers organizations to take control of their most valuable asset\u2014data\u2014while adapting to the fast-evolving risk and compliance landscape in the age of AI.<\/p>\n Read on for more<\/a><\/p>\n Capella AI Model Services, powered by NVIDIA AI Enterprise, minimize latency by bringing AI closer to the data, combining GPU-accelerated performance and enterprise-grade security to empower organizations to seamlessly operate their AI workloads. The collaboration enhances Capella\u2019s agentic AI and retrieval-augmented generation (RAG) capabilities, allowing customers to efficiently power high-throughput AI-powered applications while maintaining model flexibility.<\/p>\n Read on for more<\/a><\/p>\n With Cribl Lakehouse, companies can eliminate the complexity of schema management and manual data transformation while simultaneously delivering ultra-elastic scalability, federated query capabilities, and a fully unified management experience across diverse datasets and geographies.<\/p>\n Read on for more<\/a><\/p>\n Inline filtering helps ensure that these types of searches are fast, accurate, and efficient \u2014 automatically combining the best of vector indexes and traditional indexes on metadata columns to achieve better query performance.<\/p>\n Read on for more<\/a><\/p>\n Apache Ignite has long been the trusted choice for developers at top companies, enabling them to achieve unmatched speed and scale through the power of distributed in-memory computing. These contributions reflect GridGain’s continued commitment to the open-source distributed database, caching, and computing platform.<\/p>\n Paige Roberts<\/a>, Head of Technical Evangelism at GridGain, said: “Completely rearchitecting the core of Apache Ignite 3 to improve stability and reliability provides real-time response speed on a foundation that just works. GridGain 9.1 is built on that foundation, plus things from 9.0 like on-demand scaling and strong data consistency that were needed to better support AI workflows. Any data processing and analytics platform that isn\u2019t aimed at supporting AI these days is already obsolete.”<\/p>\n Read on for more<\/a><\/p>\n The AWS ISV Accelerate Program provides Hydrolix with co-sell support and benefits to meet customer needs through collaboration with AWS field sellers globally. Co-selling provides better customer outcomes and assures mutual commitment from AWS and its partners.<\/p>\n Read on for more<\/a><\/p>\n IBM says the move will help enterprises “harness crucial enterprise data to maximize the value of generative AI at scale.”<\/p>\n William McKnight<\/a>, President at McKnight Consulting Group, said: “DataStax has a very strong vector database. In our benchmark, we found Astra DB ingestion and indexing speeds up to 6x faster than Pinecone, with more consistent performance. It also showed faster search response times both during and after indexing. Furthermore, Astra DB exhibited better recall (accuracy) during active indexing and maintained low variance. Finally, DataStax Astra DB Serverless (Vector) had a significantly lower Total Cost of Ownership (TCO).<\/p>\n IBM was supporting Milvus, but now they have their own vector capabilities.”<\/p>\n Robert Eve<\/a>, Advisor at Robert Eve Consulting, said: “This seems like a win-win-win for DataStax customers, IBM customers, and both firms\u2019 investors.<\/p>\n As we have seen many times in the database industry, specialized capabilities frequently find homes within broader offerings as market acceptance grows, installed bases overlap, and requirements for shared (common) development tools and operational functionality increase.<\/p>\n This is yet another example.”<\/p>\n Read on for more<\/a><\/p>\n Designed to address persistent challenges in data quality, consistency, and governance, this new tool ensures that data flowing through MetaRouter pipelines adheres to defined schema standards. MetaRouter’s Schema Enforcement tool tackles these challenges head-on by empowering data teams to define, assign, and enforce schemas, preventing bad data from ever reaching downstream systems.<\/p>\n Read on for more<\/a><\/p>\n Integrating Voyage AI’s technology with MongoDB will enable organizations to easily build trustworthy, AI-powered applications by offering highly accurate and relevant information retrieval deeply integrated with operational data.<\/p>\n Read on for more<\/a><\/p>\n Orion is an on-demand AI data engineer, enabling teams to build, optimize, and manage data pipelines through natural language interactions, dramatically reducing the complexity and expertise traditionally required for these critical operations.<\/p>\n Read on for more<\/a><\/p>\n These advancements address key enterprise data challenges such as improving data accessibility, enabling business-friendly governance, and automating manual processes. Together, they help organizations boost efficiency, maximize the ROI of their data investments, and make confident, data-driven decisions.<\/p>\n Read on for more<\/a><\/p>\n This milestone positions Profisee as the sole MDM provider offering an integrated solution within Microsoft Fabric, empowering users to define, manage and leverage master data products directly within the platform.<\/span>\u00a0<\/span><\/p>\n Read on for more<\/a><\/p>\n The Redpanda Snowflake Connector not only optimizes the parsing, validation code, and assembly for building the files that are sent to Snowflake, but also makes it easy to split a stream into multiple tables and do custom transformations on data in flight.<\/p>\n Read on for more<\/a><\/p>\n Reltio Data Cloud helps enterprises solve their most challenging data problems\u2014at an immense scale\u2014and enables AI-driven innovation across their organizations. Reltio Data Cloud today processes\u00a061.1B total API calls per year\u00a0and has\u00a09.1B consolidated profiles under management,\u00a0100B relationships under management, and\u00a0users across 140+ countries.<\/p>\n Read on for more<\/a><\/p>\n The partnership aims to empower Saksoft customers\u2014particularly in the Logistics industry\u2014with CIC, enabling them to harness EDI and API automation alongside real-time data visibility. This will equip them with the agility, control, and actionable insights necessary to drive their business forward with confidence.<\/p>\n Read on for more<\/a><\/p>\n Located in the heart of Silicon Valley at Snowflake\u2019s new Menlo Park campus, the nearly 30,000 square foot space plans to open in Summer 2025, and will feature a range of spaces designed for people across the AI ecosystem.<\/p>\n Read on for more<\/a><\/p>\n From AI Architecture to the Application Layer explores the critical transition of AI from its underlying architectures to its practical applications in order to illustrate the transformations occurring now in the Enterprise Tech workspace.<\/p>\n This one-day Virtual Event brings together leading experts across four thought leader Keynotes and four expert Panels to reveal the nuances of AI Development, from the design of AI to its integration of radical solutions in virtually every tech application.<\/p>\n Read on for more<\/a><\/p>\n Ford revolutionized automobile manufacturing by observing meatpacking lines and how they moved animal carcasses along their conveyor belts. Adapting that mechanization to his factory, Ford was able to streamline production from 12 hours for each car to a mere 90 minutes, a feat that would change the character of manufacturing forever.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n With the increasing importance of data, many organizations are asking whether they need both a data strategy and a Data Governance strategy. I\u2019ve been doing Data Governance for over twenty years now, and I\u2019ll be honest \u2013 in the first fifteen years, no one even talked about a data strategy or a Data Governance strategy. But before we dive into the answer, let\u2019s start by getting the basics straight.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n I believe that data governance and data management follow a yin-yang duality. Data governance defines why an organization must formalize a data management framework and its feasible scope. Data management, in turn, designs and establishes the framework, while data governance controls its implementation.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n According to ESG research 81 percent of businesses agree immutable backup storage is the best defense against ransomware. However, not all backup storage solutions can deliver full immutability and enable the quick and complete recovery that is essential for ransomware resilience. With the next Solutions Spotlight event<\/a><\/strong><\/span>, the team at Solutions Review has partnered with leading Veeam storage provider Object First.<\/p>\n Register free on LinkedIn<\/a><\/p>\n With the next Solutions Spotlight event, the team at Solutions Review has partnered with leading data security governance platform provider Concentric AI to provide viewers with a unique webinar called Modern Data Security Governance in the Generative AI Era<\/em><\/a>.<\/span><\/strong><\/p>\nTop Data Management News for the Week Ending February 28<\/strong>, 2025<\/strong><\/h2>\n
Acceldata Announces Agentic Data Management<\/h4>\n
Ataccama Releases 2025 Data Trust Report<\/em><\/h4>\n
BigID Announces New BigID Next Offering<\/h4>\n
Couchbase Integrates Capella AI Model Services with NVIDIA NIM Microservices<\/h4>\n
Cribl Unveils New Crible Lakehouse Offering<\/h4>\n
Google Adds Inline Filtering to AlloyDB Vector Search<\/h4>\n
GridGain Contributes to Latest Release of Apache Ignite 3.0<\/h4>\n
Hydrolix Joins AWS ISV Accelerate Program<\/h4>\n
IBM Set to Acquire DataStax<\/h4>\n
MetaRouter Launches New Schema Enforcement Layer<\/h4>\n
MongoDB is Set to Acquire Voyage AI<\/h4>\n
Observo AI Launches New AI Data Engineer Assistant Called Orion<\/h4>\n
Precisely Announces New AI-Powered Features<\/h4>\n
Profisee MDM is Now Available in Public Preview for Microsoft Fabric<\/h4>\n
Redpanda Releases New Snowflake Connector Based on Snowpipe Streaming<\/h4>\n
Reltio Launches New Lightspeed Data Delivery Network<\/h4>\n
Saksoft Partners with Cleo on Real-Time Logistics Data Integration<\/h4>\n
Snowflake Launches Silicon Valley AI Hub<\/h4>\n
Expert Insights<\/em> Section<\/strong><\/h3>\n
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<\/a>Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam<\/em>, Solutions Review’s enterprise tech community<\/a><\/strong><\/span> 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.<\/p>\nInsightJam.com’s Mini Jam LIVE!<\/em> Set for March 6, 2025<\/h4>\n
NEW by Solutions Review<\/em> Expert @ Insight Jam<\/em> Thought Leader Dr. Joe Perez – Bullet Train Breakthroughs: Lessons in Data, Design & Discovery<\/h4>\n
NEW by Solutions Review<\/em> Expert @ Insight Jam<\/em> Thought Leader Nicola Askham – Do You Need a Data Strategy and a Data Governance Strategy?<\/h4>\n
NEW by Solutions Review<\/em> Expert @ Insight Jam<\/em> Thought Leader Dr. Irina Steenbeek – Key Takeaways from the Free Masterclass: Adapting Data Governance for Modern Data Architecture<\/h4>\n
What to Expect at Solutions Review<\/em>‘s Spotlight with Object First & Enterprise Strategy Group on March 13<\/h4>\n
On-Demand: Solutions Review<\/em>‘s Spotlight with Concentric AI & Enterprise Strategy Group<\/h4>\n