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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of May 8, 2026.<\/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 o9\u2019s Snowflake Connected App Runs Planning Models Directly On Governed Enterprise Data<\/strong><\/p>\n o9 Solutions and Snowflake have launched the o9 Connected Application for Snowflake, wiring o9\u2019s Digital Brain directly into the Snowflake AI Data Cloud. Large enterprises can now run AI-powered planning and decisioning models against a single governed source of truth across supply chain, commercial, and finance, with continuous data flows in both directions so planning outputs are written back into Snowflake for downstream systems and execution.<\/p>\n Read on for more\u2192 o9 Connected Application on Snowflake<\/strong><\/a><\/p>\n Airbyte Agents Turn Fragmented Data Into A Unified, Query-Ready Context Layer For AI Agents<\/strong><\/p>\n Airbyte has launched Airbyte Agents, a \u201ccontext layer\u201d that pre\u2011replicates and indexes an organization\u2019s data so AI agents can query a unified view instead of chaining brittle runtime API calls across five or six systems. Exposed via MCP and an SDK, Airbyte Agents give Claude, ChatGPT, Cursor, and custom agents fast access to consistent entities with row\u2011level security and OAuth, tackling the data fragmentation that causes most production agent failures and laying groundwork for visual \u201cAutomations\u201d to build end\u2011to\u2011end agentic workflows.<\/p>\n Read on for more\u2192 Airbyte Agents launch<\/strong><\/a><\/p>\n AllegroGraph 9.0 Adds GraphTalker, An Iterative AI Agent For Talking To Enterprise Knowledge Graphs<\/strong><\/p>\n Franz Inc. has released AllegroGraph 9.0 featuring GraphTalker, an AI agent that lets users query and analyze enterprise knowledge graphs in natural language. Instead of doing a one-shot prompt-to-SPARQL translation, GraphTalker iteratively explores the schema, tests candidate queries, interprets failures, and refines its approach until it produces a validated result\u2014combining symbolic reasoning, graph analytics, vector search, and LLMs into a semantic layer built for agent-ready data.<\/p>\n Read on for more\u2192 AllegroGraph 9.0 with GraphTalker<\/strong><\/a><\/p>\n Arctera Goes All-In On SaaS So Compliance Can Scale Without Limits On Data, Users, Or Environments<\/strong><\/p>\n Arctera is shifting fully to a SaaS operating model, moving away from multiple deployment options in favor of one cloud-based compliance service. The new model removes predefined limits on data volume, users, and environments and applies consistent, context\u2011preserving governance across more than 130 data sources without copying or reprocessing data, helping enterprises extend compliance controls as operations and datasets grow.<\/p>\n Read on for more\u2192 Arctera SaaS compliance model<\/strong><\/a><\/p>\n Ataccama Surfaces Data Quality Signals In Real Time So Bad Inputs Never Reach AI Or Compliance Systems<\/strong><\/p>\n Ataccama is bringing real\u2011time data quality signals into the heart of modern data pipelines with its Data Quality Gates, which validate data \u201cin motion\u201d before it hits AI, analytics, or regulatory systems. By applying business rules as data flows, the gates intercept incomplete or non\u2011compliant records immediately, cutting downstream remediation costs, lowering compliance risk, and ensuring AI models and reports are powered by trusted inputs rather than polluted after the fact.<\/p>\n Read on for more\u2192 Ataccama data quality signals<\/strong><\/a><\/p>\n Collibra AI Command Center Becomes A Real-Time Control Plane For Every Agent And Model In The Enterprise<\/strong><\/p>\n Collibra has launched AI Command Center, a unified control plane designed to give enterprises real-time, automated oversight of agentic AI across the full lifecycle. The platform centralizes visibility into which agents and models are deployed, tracks ownership and behavior, surfaces continuous trust and risk signals, and\u2014through a new partnership with Giskard\u2014automates testing and monitoring so teams can detect model drift or risky agent actions and intervene before issues turn into incidents.<\/p>\n Read on for more\u2192 Collibra AI Command Center<\/strong><\/a><\/p>\n Fivetran\u2019s 2026 Agentic AI Readiness Index: Only 15% Have A Data Foundation That Can Safely Run Agents At Scale<\/strong><\/p>\n Fivetran\u2019s new 2026 Agentic AI Readiness Index finds that just 15% of organizations are fully prepared to support agentic AI in production, even though nearly 60% are already investing millions to tens of millions in the technology. On average, enterprises score only about 61\u201362% on Fivetran\u2019s readiness scale across data freshness, lineage, governance, and interoperability, with data quality and lineage (42%), regulatory compliance and sovereignty (39%), and security and privacy risk (39%) cited as the top blockers\u2014underscoring that infrastructure, not models, is now the limiting factor for agentic AI ROI.<\/p>\n Read on for more\u2192 Fivetran 2026 Agentic AI Readiness Index<\/strong><\/a><\/p>\n IBM Data Gate For Confluent Streams Mainframe Transactions Straight Into The Real-Time AI Foundation<\/strong><\/p>\n IBM has introduced IBM Data Gate for Confluent, a new capability that continuously streams IBM Z transactional data into Confluent as part of IBM\u2019s unified, real-time data foundation for AI. The service taps IBM\u2019s acquisition of Confluent so organizations can treat mainframe events as first-class signals for modern applications and AI agents\u2014letting them trigger actions, feed fraud models, and power real-time analytics without batch ETL or duplicative pipelines.<\/p>\n Read on for more\u2192 IBM Data Gate for Confluent<\/strong><\/a><\/p>\n immudb 1.11 Extends Tamper-Proof Guarantees From Data To Database Activity For High-Stakes Audits<\/strong><\/p>\n Codenotary has released immudb 1.11, a major update to its open source, tamper\u2011proof database that adds immutable audit logging on top of its existing cryptographically verifiable data store. With 1.11, immudb can now permanently and tamper\u2011resistantly record not just data changes but also who did what and when\u2014supporting use cases like financial transaction trails, software deployment audits, and incident forensics where regulators and security teams must be certain logs have not been altered.<\/p>\n Read on for more\u2192 Open source tamper-proof database update<\/strong><\/a><\/p>\n LakeFusion Raises $7.5M To Build Databricks\u2011Native, AI-First Master Data Management<\/strong><\/p>\n LakeFusion has raised a $7.5 million<\/strong> Seed round to scale its Databricks\u2011native, AI\u2011powered master data management platform as enterprises look for AI\u2011ready, trusted data foundations on top of their existing lakehouse investments. The company, led by CEO and founder Vikas Punna and backed by Silverton Partners and Carbide Ventures, runs MDM directly inside Databricks using Unity Catalog for governance so customers can unify entities, products, and relationships without moving data out of Delta Lake\u2014promising faster time to value, lower operational overhead, and a more governed master data layer for analytics and AI.<\/p>\n Read on for more\u2192 LakeFusion raises $7.5M to redefine Databricks\u2011native MDM<\/strong><\/a><\/p>\n Imply Lumi Enterprise Brings The \u201cObservability Warehouse\u201d Into Your Own AWS Account<\/strong><\/p>\n Imply has introduced Lumi Enterprise, a bring\u2011your\u2011own\u2011cloud edition of its Lumi Observability Warehouse that runs entirely inside a customer\u2019s AWS environment. Organizations with strict data sovereignty and security needs can now keep logs and observability data within their own VPCs while using Lumi\u2019s high\u2011performance Apache Druid engine, MSK, EKS, and Aurora MySQL stack\u2014managed via Terraform\u2014to decouple expensive observability tools from storage and feed long\u2011term telemetry directly into analytics and AI without extra ETL.<\/p>\n Read on for more\u2192 Imply Lumi Enterprise BYOC for observability<\/strong><\/a><\/p>\n MongoDB Adds Native Embeddings, Agent Memory, And Rerankers So Enterprises Can Run AI Agents On The Data They Already Store<\/strong><\/p>\n MongoDB is rolling out new AI data platform capabilities at MongoDB.local London 2026 so enterprises can run production AI agents without bolting on separate vector databases and memory stores. The unified platform now combines real-time operational data, vector and hybrid search, native embeddings generation, persistent agent memory, and reranker models in MongoDB 8.3, aiming to make agent workloads faster and cheaper on existing infrastructure while reducing hallucinations and eliminating much of the data duplication typically required for RAG.<\/p>\n Read on for more\u2192 MongoDB makes enterprise AI production-ready<\/strong><\/a><\/p>\n MuleSoft Omni Gateway Becomes A Unified Governance Layer For APIs, Integrations, And AI Agents<\/strong><\/p>\n MuleSoft has announced Omni Gateway, a governance and visibility layer designed for organizations running AI in production. Instead of separate policy stacks for APIs and AI, Omni Gateway extends proven API governance practices across agents and AI endpoints, giving enterprises a single control plane and consistent policies over what autonomous systems can access and do.<\/p>\n Read on for more\u2192 MuleSoft Omni Gateway<\/strong><\/a><\/p>\n New Relic Knowledge Gives AI And Engineers A RAG Layer Over Runbooks, Incidents, And Service Docs<\/strong><\/p>\n New Relic is adding an AI knowledge layer that uses Retrieval Augmented Generation (RAG) to ground New Relic AI\u2019s responses in a customer\u2019s own documentation, incident history, and service data. Through the New Relic AI knowledge connector, teams index internal runbooks and knowledge bases so when engineers\u2014or AI agents\u2014ask questions, New Relic can retrieve relevant internal context and combine it with LLM reasoning to accelerate alert triage, improve answer accuracy, and reduce manual searching across tooling.<\/p>\n Read on for more\u2192 New Relic Knowledge<\/strong><\/a><\/p>\n OneStream: 47% Of Execs Admit They\u2019ve Made Material Decisions On Bad Data\u2014And AI Is About To Amplify That<\/strong><\/p>\n A new OneStream study of 352 finance and IT executives shows that 47% have made material business decisions using inaccurate, incomplete, or outdated data, and 72% report bad-data costs of at least $500,000. Only 19% pull the majority of AI inputs from a single, centralized system, 61% second\u2011guess their data at least monthly, and 37% have incurred more than $1 million in damages\u2014prompting OneStream to warn that, without stronger data governance and alignment between Finance and IT, AI will accelerate and amplify errors rather than improve outcomes.<\/p>\n Read on for more\u2192 Companies are scaling AI on data they don\u2019t trust<\/strong><\/a><\/p>\n Precisely Adds A Data Integration Agent, Data Product Marketplace, And MCP Server To Make \u201cAgentic-Ready\u201d Data Real<\/strong><\/p>\n Precisely is expanding its Data Integrity Suite with new capabilities designed to deliver \u201cAgentic\u2011Ready Data\u201d\u2014high\u2011quality, integrated, governed, and enriched data for AI and automation. The release introduces a Data Integration Agent that keeps distributed data synchronized into governed products, a data product marketplace (via partner Huwise) so teams can discover and reuse those products, and a Precisely\u2011hosted MCP server plus expanded APIs that let AI agents access trusted data and metrics as first\u2011class tools.<\/p>\n Read on for more\u2192 Precisely agentic-ready data enhancements<\/strong><\/a><\/p>\n SAP To Acquire Dremio And Turn Business Data Cloud Into An Apache Iceberg-Native Lakehouse For Agentic AI<\/strong><\/p>\n SAP has agreed to acquire Dremio to make Business Data Cloud an Apache Iceberg-native enterprise lakehouse that unifies SAP and non-SAP data for real-time analytics and agentic AI. Dremio\u2019s open catalog, query engine, and serverless performance will help eliminate data fragmentation and allow SAP agents to query SAP HANA, data lakes, and external stores through a single layer, accelerating AI-ready context and time-to-value while keeping costs in check.<\/p>\n Read on for more\u2192 SAP to acquire Dremio<\/strong><\/a><\/p>\n SNP And Structify Form Oros Data To Bring AI-Driven Unstructured Data Processing Into SAP Transformations<\/strong><\/p>\n SNP has created a joint venture, Oros Data LLC, with New York\u2013based Structify to extend its Kyano platform from structured SAP data into unstructured enterprise content. The new AI\u2011enabled capabilities target M&A and transformation scenarios where up to 80% of relevant information lives in emails, contracts, PDFs, and other unstructured sources, helping customers extract, contextualize, and govern that data at scale to reduce risk and accelerate time to value.<\/p>\n Read on for more\u2192 SNP advances AI for unstructured data<\/strong><\/a><\/p>\n Teradata\u2019s Autonomous Knowledge Platform Aims To Be The \u201cBrain And Nervous System\u201d For Enterprise AI<\/strong><\/p>\n Teradata has announced the Teradata Autonomous Knowledge Platform, a unified layer that combines data, analytics, and agentic AI across Teradata Cloud and on\u2011premises Teradata Factory environments. It bundles Teradata AI Studio, Tera workspaces and agents, a Connected Data Foundation, and sovereign AI options with Dell and NVIDIA, giving enterprises a governed knowledge fabric where agents can act on trusted context instead of scattered datasets, with Teradata Cloud arriving in Q3 2026 and Factory following later in the year.<\/p>\n Read on for more\u2192 Teradata Autonomous Knowledge Platform<\/strong><\/a><\/p>\n Yugabyte Launches Meko, A Shared Memory And Knowledge Layer For Multi-Agent Systems<\/strong><\/p>\n Yugabyte has introduced Meko, an agent-native data infrastructure that gives entire multi-agent systems a compounding collective memory rather than siloed, per-agent notes. Through a single MCP endpoint, Meko handles entity extraction, graph updates, per-agent scoping, and promotion of new learnings into a shared knowledge layer across five memory types, so when one agent learns or corrects something, every other agent in the \u201cdatapack\u201d can immediately benefit with full decision traceability.<\/p>\n Read on for more\u2192 Yugabyte Meko multi-agent memory<\/strong><\/a><\/p>\n Insight Jam<\/em> and Donald Farmer Launch Waitlist for New Mesh Expert Group on the Last Mile: Analytics Leadership in the Age of AI<\/em><\/strong><\/p>\n Over twelve monthly sessions, a cohort of just eight senior analytics and BI leaders works through the practical and strategic dimensions of leading in an AI-augmented environment.<\/p>\n The sessions build progressively: early months establish a framework for where human judgment remains indispensable; middle months address the operational pressures, data quality, governance, the proliferation of shadow AI tools, and conversational interfaces that complicate deployment in real organizations; later months turn toward team development, role evolution, and a planning horizon of two years.<\/p>\n Join the waitlist on Insight Jam<\/em><\/a><\/p>\n NEW Episode of The Human Conversation<\/em> with Doug Atkinson Featuring Andreas Welsch<\/b><\/p>\n Andreas Welsch has watched a new kind of problem arrive in corporate inboxes \u2014 reports that look like reports, summaries that look like summaries, and none of it says anything. This is the episode for anyone who needs to lead through the AI transition, not just survive it.<\/p>\n Watch on YouTube<\/a><\/p>\n –<\/p>\n Mini Jam, Q1 2026 On-Demand: The Skills Reckoning on March 31<\/b><\/p>\n This program is designed not simply to comment on change, but to explore the structural redesign of education and workforce systems now required to keep pace with it. For leaders operating at the intersection of AI, education, upskilling, and L&D, the Q1 Mini Jam offers a clear view into the forces reshaping how capability is defined, developed, and deployed in the years ahead.<\/p>\n Watch on YouTube<\/a><\/p>\n Solutions Review <\/i>Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI<\/b><\/p>\n Solutions Review<\/em>\u00a0has officially surpassed\u00a0250,000 subscribers on YouTube<\/a><\/strong>, a milestone that\u2019s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy\u00a0centered on authoritative video<\/a><\/strong>,\u00a0human-led insight<\/a><\/strong>, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI<\/strong><\/p>\n Artificial intelligence is everywhere\u2014but understanding its human impact has never been more urgent. That’s where Solutions Review<\/em>‘s latest newsletter, The Human-AI Ledger<\/i><\/a><\/strong><\/span>, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI\u2014the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.<\/span><\/p>\n Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.<\/span><\/p>\nTop Data Management News for the Week Ending May 8,<\/strong>\u00a02026<\/strong><\/h2>\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>\n