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Data Management News for the Week of December 12; Updates from Dremio, IBM, Salesforce & More

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of December 12, 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 December 12, 2025


Ataccama Solidifies Data Trust Leadership With Strategic Investment From Snowflake Ventures

Ataccama, which positions itself as an “agentic data trust” company, received a strategic investment from Snowflake Ventures to accelerate its unified platform for data quality, observability, cataloging, and governance. As AI and regulatory pressures grow, the partnership underscores the need for high‑quality, explainable data to fuel AI, analytics, and operations, with Ataccama’s platform intended to make data consistently accurate, accessible, and AI‑ready.​

Read more → https://finance.yahoo.com/news/ataccama-solidifies-data-trust-leadership-140100161.html

Collibra Joins Snowflake and Industry Leaders to Support Data and AI Interoperability Through the Open Semantic Interchange

Collibra joined Snowflake’s Open Semantic Interchange (OSI), an open‑source initiative to create a universal, vendor‑neutral semantic model that standardizes fragmented data definitions across tools. By contributing governance and business‑context capabilities, Collibra aims to help organizations establish trusted, consistent metrics and semantics across dashboards, notebooks, and ML models, simplifying data operations and enabling interoperable AI.​

Read more → https://www.prnewswire.com/news-releases/collibra-joins-snowflake-and-industry-leaders-to-support-data-and-ai-interoperability-across-the-ecosystem-through-the-open-semantic-interchange-302624909.html

Couchbase AI Services Put Enterprises in Control of Agentic AI

Couchbase introduced AI Services to provide an end‑to‑end platform for building secure, performant agentic applications, embedding AI capabilities coherently across its database suite. The services include governance and validation “guardrails” that verify agent actions against enterprise data and business rules before execution, plus partnerships like K2view for synthetic, privacy‑preserving data, so organizations can trace, audit, and control agent behavior at scale.​

Read more → https://www.couchbase.com/press-releases/couchbase-ai-services-put-enterprises-in-control-of-agentic-ai/

Dremio Survey: Agentic Analytics and AI-Driven Decision Making Are Top Priorities for 2026

Dremio’s 2026 State of the Data Lakehouse & AI report finds that 65% of organizations rank agentic analytics and AI-driven decision-making as top priorities for 2026, with 51% citing productivity and faster innovation as the main reasons to adopt AI. Yet 70% say siloed data and weak governance remain the biggest obstacles, driving a move toward open lakehouse architectures as the foundation for enterprise-wide agentic AI.​

Read more → https://www.hpcwire.com/aiwire/2025/12/10/dremio-survey-agentic-analytics-and-ai-driven-decision-making-are-top-priorities-for-2026/

HERE Technologies and Precisely Expand Partnership to Provide Trusted Location Data for Business Operations

HERE and Precisely expanded their partnership to combine HERE’s mapping data with Precisely’s Data Integrity Suite, delivering accurate, governed, and AI‑ready location intelligence for use cases such as property management, risk assessment, and logistics. Using machine learning and AI for real‑time updates, the joint offering emphasizes data accuracy, consistency, and transparency so enterprises can power critical decisions and analytics with trusted location data, even in highly regulated industries.​

Read more → https://www.here.com/about/press-releases/here-technologies-and-precisely-expand-partnership-to-provide-trusted

IBM to Acquire Confluent to Create Smart Data Platform for Enterprise Generative AI

IBM agreed to acquire Confluent for 31 dollars per share to build a smart data platform that delivers trusted, real‑time data flows for generative and agentic AI across hybrid and multicloud environments. The deal will fold Confluent’s streaming and event capabilities into IBM’s Data and Automation portfolio, aiming to simplify integration, accelerate AI deployments, and drive product and revenue synergies across IBM’s software and consulting businesses.​

Read more → https://newsroom.ibm.com/2025-12-08-ibm-to-acquire-confluent-to-create-smart-data-platform-for-enterprise-generative-ai

Immuta December Provision Update: Strengthening the Foundation for AI-Scale Data Access

Immuta’s December 2025 provisioning update focuses on removing friction from governed data access across warehouses and AI workloads, with new capabilities to simplify connecting environments, strengthen governance for platforms like Redshift and Databricks, and improve large-scale access decisioning. The company frames these enhancements as critical for a future where AI agents, not humans, are the dominant data consumers, requiring faster, policy‑driven, and intent‑aware access controls.​

Read more → https://www.immuta.com/blog/immuta-december-provision-update/

Informatica Empowers AI Agent Reasoning on Salesforce Einstein 1 Platform

Salesforce highlighted how Informatica is using the Einstein 1 Platform and Data Cloud to let AI agents reason over governed, unified data with better context. By combining Informatica’s data management with Salesforce’s agentic AI, customers can build agents that make more accurate decisions in sales, service, and marketing while maintaining trust, governance, and compliance.​

Read more → https://www.salesforce.com/news/stories/informatica-empowers-ai-agent-reasoning/

Enterprises Collect More Unstructured Data and Pay More to Manage It

A new Komprise survey shows that 85% of IT and data storage leaders expect their storage spend to rise in 2026, and 74% are already managing more than 5 PB of unstructured data, up 57% from 2024. Cost optimization, AI-focused data preparation and classification, and cloud migration top storage priorities, while classifying and tagging unstructured data has become both the leading strategy and the biggest challenge for AI readiness and risk reduction.​

Read more → https://betanews.com/2025/12/09/enterprises-collect-more-unstructured-data-and-pay-more-to-manage-it/

Neo4j Launches AuraDB Fleet Manager, a Single Control Plane for Graph Databases

Neo4j introduced Fleet Manager, a unified control plane in the Aura console that lets teams register, monitor, and manage Neo4j databases across AuraDB, self‑managed, on‑prem, and hybrid deployments. The tool centralizes topology visualization, health and performance monitoring, and policy enforcement so administrators can more easily scale, upgrade, and secure large fleets of graph databases.​

Read more → https://neo4j.com/blog/auradb/single-control-plane-fleet-manager/

Precisely Brings Agentic AI to EngageOne RapidCX Customer Communications Platform

Precisely added new agentic AI capabilities to EngageOne RapidCX, including Sentiment Analysis, Contextual Rewrite, and Readability agents plus AI Intelligent Search to improve customer communications. These agents coach tone and language in real time, rewrite content with contextual awareness, score and enhance readability, and surface compliant templates and assets so organizations can reduce risk and deliver more consistent, brand-aligned messages.​

Read more → https://www.prnewswire.com/news-releases/precisely-brings-agentic-ai-to-engageone-rapidcx-customer-communications-platform-302637320.html

Progress Software Brings Agentic AI to Its Latest Telerik and Kendo UI Release

Progress added Agentic AI features to its Q4 2025 Telerik and Kendo UI release, including an Agentic UI Generator that turns natural‑language prompts into production‑grade, styled application pages. New AI elements such as inline prompts and prompt‑driven data grids let users interact with apps in plain language (for example, “Show all orders from last month”), making enterprise UI development and usage more conversational and efficient.​

Read more → https://investors.progress.com/news-releases/news-release-details/progress-software-brings-agentic-ai-its-latest-telerik-and-kendo

Qlik CEO: Enterprises Are Underachieving on AI Due to Data Readiness Gaps

Qlik CEO Mike Capone warned that most enterprises are “underachieving” with AI because their data strategies, governance, and analytic readiness lag their AI ambitions. Citing IDC research, he highlighted that while organizations are heavily investing in generative and agentic AI, only a minority have the scalable, trusted data foundations needed to deploy these capabilities at scale.​

Read more → https://finance.yahoo.com/news/qlik-ceo-enterprises-underachieving-ai-133000753.html

Cloud Native Qumulo Extends Its Unified Data Platform With Google Cloud

Qumulo announced that its cloud‑native unified data platform is now available via Google Cloud Marketplace, making it easier for customers to deploy and scale on Google’s global infrastructure. The integration lets organizations securely migrate and manage unstructured data in Google Cloud with Qumulo’s performance, scalability, and simplicity for AI, analytics, and backup workloads.​

Read more → https://www.morningstar.com/news/business-wire/20251210595549/cloud-native-qumulo-extends-its-unified-data-platform-with-google-cloud

Striim Releases Validata to Ensure Data Accuracy and Deliver Trusted AI

Striim introduced Validata, a real‑time data validation and reconciliation product that generates verifiable, timestamped proof of data integrity across large‑scale data pipelines. Designed for AI and agentic systems, Validata detects drift and inconsistencies early, strengthens governance and auditability, and helps keep ML and analytics workloads accurate and compliant.​

Read more → https://www.striim.com/press/striim-releases-validata-to-ensure-data-accuracy-and-deliver-trusted-ai/

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.

Register for the 7th annual Insight Jam LIVE!: Human Development Focus & the Impact of AI Now

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Read on Solutions Review

Thought Leaders: Fast, Cost Effective Innovation: What AWS Customers Got at AWS re:Invent

Amazon Web Services (AWS) users swarmed Las Vegas last week to network, learn, and buzz about artificial intelligence (AI). Five days and 101 announcements later, what have they walked away with? This blog evaluates re:Invent 2025 from the customer perspective, leveraging new BARC research that assesses the needs of 421 global AI adopters, especially the 120 respondents who rely on AWS.

Read on Solutions Review

Thought Leaders: George Firican Adds New Lesson on GenAI Prompting for Data Governance to Popular Training Course

Award-winning data governance leader and LightsOnData Founder George Firican told us: “We recently added a lesson on GenAI Prompts for Data Governance – a practical collection of reusable GenAI prompts designed to accelerate core data governance activities including policy drafting, glossary development, communication planning, ownership clarity, quality assessment, and risk evaluation.”

Read on Solutions Review

Contributor Series: From Prompt Design to Data Engineering – Why Architecture Matters for Agentic AI

Agentic AI is having a moment. Teams everywhere are wiring up agents that plan tasks, call tools, and act autonomously. Demos look smooth, and product pitches sound sharp. But most of these systems sit on a fragile base. At their core, agents depend on data. If that data is slow, scattered, or stale, the system breaks, no matter how good the model or prompt may be.

Read on Solutions Review

For consideration in future data management news roundups, send your announcements to the editor: tking@solutionsreview.com.

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