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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of April 24, 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 Access Keeps Rolling Up Records And Information Management Firms Across The Americas<\/strong><\/p>\n Access, a global information management provider, has completed 14 additional acquisitions across North and Latin America in the past year as it continues a long\u2011running roll\u2011up strategy. The latest deals, including The File Room in St. Louis, expand its physical records storage, digital information management, and secure destruction footprint, giving multinational customers broader coverage and a single partner for lifecycle management of paper and digital content.<\/p>\n Read on for more\u2192\u00a0Access expansion across the Americas<\/span><\/a><\/p>\n ClickHouse Deepens Google Cloud Ties With Lakehouse Integration, BYOC, Axion CPUs, And Antigravity MCP<\/strong><\/p>\n ClickHouse is expanding its collaboration with Google Cloud around four pillars: native integration with Google Cloud Lakehouse, a Bring Your Own Cloud (BYOC) model, migration of ClickHouse Cloud to Google\u2019s Arm\u2011based Axion processors, and integration between its MCP server and Google Antigravity. Together, these steps let customers query lakehouse data more seamlessly, run fully managed ClickHouse inside their own VPCs for sovereignty, gain performance and cost benefits from Axion, and plug ClickHouse agents into Google\u2019s emerging AI control plane.<\/p>\n Read on for more\u2192\u00a0ClickHouse\u2013Google Cloud expansion<\/span><\/a><\/span><\/p>\n Lakeflow Designer Gives Data Analysts A Visual, GenAI-Assisted IDE For Production ETL<\/strong><\/p>\n Databricks\u2019 Lakeflow Designer\u2014now in public preview as part of Lakeflow\u2014lets data analysts build production data pipelines using a drag\u2011and\u2011drop canvas backed by the same engine and governance data engineers use. With GenAI assistance and visual \u201cVisual data prep\u201d flows that write into Unity Catalog, non\u2011coders can stand up reliable transformations without spawning brittle shadow tools, while engineers retain observability and maintainability.<\/p>\n Read on for more\u2192\u00a0Lakeflow Designer public preview<\/span><\/a><\/p>\n Fivetran Pipes 18 Trillion Rows\/Month Into BigQuery, Influencing Nearly 10% Of New Google Cloud Bookings<\/strong><\/p>\n Fivetran reports that customers are now ingesting more than 18 trillion active rows per month into BigQuery via its pipelines, a 30% year\u2011over\u2011year increase. The company says this data foundation for AI helped influence nearly 10% of new Google Cloud bookings globally and generated more than $24 million in gross sales through Google, underscoring how tightly managed ingestion and transformation pipelines underpin enterprise AI adoption on BigQuery.<\/p>\n Read on for more\u2192\u00a0Fivetran\u2013BigQuery scale<\/span><\/a><\/p>\n Google Cloud And Collibra Push Business Semantics Straight Into Dataplex\u2019s Universal Catalog<\/strong><\/p>\n Google Cloud and Collibra are deepening their partnership so Collibra\u2019s governed metadata, business glossaries, and policies can flow bidirectionally into Google Cloud\u2019s Knowledge Catalog\/Dataplex. Joint customers get unified discovery, semantics, and compliance across their open lakehouse: Collibra remains the system of record for governance, while Dataplex surfaces that context natively in Google Cloud, giving analysts and AI agents one consistent, governed view of data wherever it lives.<\/p>\n Read on for more\u2192\u00a0Google Cloud\u2013Collibra partnership expansion<\/span><\/a><\/span><\/p>\n Grafana 13 Focuses On Faster Insight, Dynamic Dashboards, And Loki At AI Scale<\/strong><\/p>\n Grafana Labs has launched Grafana 13, adding dynamic dashboards, suggested layouts based on methodologies like DORA and USE\/RED, and guided learning paths to help teams move from telemetry to insight faster. The release also introduces a next\u2011generation Grafana Loki architecture with Kafka\u2011backed ingestion, a redesigned query engine and scheduler, and a parallel query planner so large\u2011scale log analytics can run more efficiently across modern Kubernetes and OpenTelemetry environments.<\/p>\n Read on for more\u2192\u00a0Grafana 13 release<\/span><\/a><\/span><\/p>\n MongoDB Splits Product Leadership To Double Down On AI And Core Atlas Growth<\/strong><\/p>\n MongoDB is expanding its product leadership team, creating separate executive roles to oversee AI and emerging offerings versus its core database products. With FY26 revenue at $2.46 billion and more than 65,200 customers, the company is signaling an aggressive roadmap for both Atlas\u2011based operational workloads and AI\u2011driven use cases, betting that dedicated leadership will accelerate feature delivery and enterprise adoption across its portfolio.<\/p>\n Read on for more\u2192\u00a0MongoDB product leadership announcement<\/span><\/a><\/p>\n Nutrient Adds Agentic AI To Turn Document-Heavy Workflows Into Repeatable, Governed Systems<\/strong><\/p>\n Document intelligence provider Nutrient is upgrading its Workflow platform with agentic AI to better handle complex, document\u2011heavy processes like onboarding, compliance, and claims. By combining document infrastructure (classification, extraction), process orchestration, and purpose\u2011built workflow agents, Nutrient aims to turn fragmented, manual document flows into intelligent, auditable, and scalable workflows that maintain governance and consistency at enterprise scale.<\/p>\n Read on for more\u2192\u00a0Nutrient agentic workflow platform<\/span><\/a><\/span><\/p>\n Oracle AI Database@Google Cloud Adds Gemini-Powered NL Agent, GoldenGate, And Open Table Access<\/strong><\/p>\n Oracle has expanded Oracle AI Database@Google Cloud with an Oracle AI Database Agent for Gemini Enterprise that lets users query governed Oracle data in natural language instead of SQL. The update also brings OCI GoldenGate for real\u2011time migration and analytics with BigQuery, planned support to read BigQuery Iceberg tables via BigLake, and broader regional availability, so enterprises can run agentic AI and analytics directly on Oracle data without copying it across platforms.<\/p>\n Read on for more\u2192\u00a0Oracle AI Database@Google Cloud<\/span><\/a><\/span><\/p>\n pgEdge\u2019s AI DBA Workbench Gives Postgres Teams A 24\/7 \u201cEllie\u201d Co\u2011Pilot With Human Oversight<\/strong><\/p>\n pgEdge has launched AI DBA Workbench, an open\u2011source co\u2011pilot that provides always\u2011on monitoring and guided troubleshooting for PostgreSQL environments. The assistant, Ellie, can run EXPLAIN ANALYZE, inspect schemas, query history, and propose fix\u2011ready SQL for issues she detects, but always routes changes through a human review step, aiming to blend deep Postgres expertise with safe, step\u2011by\u2011step remediation rather than fully autonomous database changes.<\/p>\n Read on for more\u2192\u00a0pgEdge AI DBA Workbench<\/span><\/a><\/span><\/p>\n Bad Data Is Bleeding Customers And Revenue, As New Survey Links Quality Directly To Brand Loyalty<\/strong><\/p>\n New research highlighted by Precisely and other data\u2011quality vendors shows that inaccurate, incomplete, or poorly governed customer data is directly driving churn, lost revenue, and reputational damage. Respondents report that broken personalization, inconsistent communications, and compliance errors stemming from bad data are now visible to customers at scale, making systematic data quality, enrichment, and governance an urgent prerequisite for AI\u2011driven CX rather than a back\u2011office nice\u2011to\u2011have.<\/p>\n Read on for more\u2192\u00a0Bad data impact survey<\/span><\/a><\/p>\n Redgate: 43% Stuck In \u201cHybrid Cloud Catch-22\u201d As Complex Databases Stall Migrations<\/strong><\/p>\n Redgate\u2019s Cloud Migration Divide report finds 43% of organizations now operate in hybrid cloud by default, often because complex, high\u2011risk databases have stalled migration plans. While easier workloads move to cloud, 50% of hybrid shops report data privacy or security issues (vs. 44% cloud\u2011only), security responsibility is shifting onto DB teams, and access to cost analytics is skewed toward senior leaders\u2014leaving operational staff to manage expensive, risky hybrid setups that were never meant to be permanent even as 83% of AWS users expect AI to help improve DevOps speed and migration confidence.<\/p>\n Read on for more\u2192\u00a0Redgate hybrid cloud \u201ccatch\u201122\u201d<\/span><\/a><\/span><\/p>\n Snowflake Pushes Snowflake Intelligence And Cortex Code As The \u201cControl Plane\u201d For The Agentic Enterprise<\/strong><\/p>\n Snowflake is expanding Snowflake Intelligence, a personal work agent for business users, and Cortex Code, a builder layer for developers, to become the control plane for agentic AI across the enterprise. Intelligence learns user preferences and automates tasks on governed data, while Cortex Code now connects to external systems like AWS Glue, Databricks, and Postgres and exposes MCP and an Agent Communication Protocol so existing AI agents can orchestrate multi\u2011system workflows using Snowflake as the coordination and governance hub.<\/p>\n Read on for more\u2192\u00a0Snowflake agentic control plane<\/span><\/a><\/span><\/p>\n Yugabyte\u2013AWS SCA Targets Enterprise PostgreSQL Modernization With Distributed SQL On Marketplace<\/strong><\/p>\n Yugabyte has signed a strategic collaboration agreement with AWS to make YugabyteDB a first\u2011class option for enterprises modernizing PostgreSQL and legacy transactional workloads on AWS. The partnership bundles YugabyteDB in AWS Marketplace, aligns field go\u2011to\u2011market motions through APN Customer Engagements, and focuses on globally distributed, highly available transactional apps so customers can move off monolithic databases without giving up PostgreSQL compatibility.<\/p>\n Read on for more\u2192\u00a0Yugabyte\u2013AWS SCA<\/span><\/a><\/span><\/p>\n Zapier Adds A Governance Layer Over Workflows, Agents, MCP, And A New Open SDK<\/strong><\/p>\n Zapier is rolling out a major expansion of its enterprise AI governance tools so IT and security teams can apply one set of rules across Zapier workflows, Zapier Agents, MCP\u2011connected assistants like Claude and ChatGPT, and custom apps built with a new Zapier SDK. New controls include action restrictions, managed app connections with domain rules, Bring Your Own Model via AWS Bedrock, asset history for audit trails, and GA for governed agents and MCP\u2014aiming to let enterprises scale AI automation without losing visibility or compliance.<\/p>\n Read on for more\u2192\u00a0Zapier enterprise AI governance<\/span><\/a><\/span><\/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 Thought Leaders: Pilot to Production: A Modern Playbook for Agentic Analytics by Kevin Petrie<\/strong><\/p>\n Will agents help enterprises achieve the long-awaited goal of democratizing analytics? They might. In fact, the fast-emerging capability of agentic analytics empowers analysts, product leaders, and AI developers to make better decisions and build smarter workflows. This requires a modern architecture in which agents can securely access distributed data, reason about its meaning, and take safe actions.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Thought Leaders: Airport Adventures: The Value of Planning Ahead for Data by Dr. Joe Perez<\/strong><\/p>\n Organizations that have strong data governance practices (i.e., clear ownership, documented processes, tested incident response plans, etc.) can recover from data errors, system failures, and compliance surprises in a fraction of the time it takes organizations that are making it up as they go. The actual recovery action (boarding the Skyliner) took seconds to decide. The recovery was possible only because the planning had happened hours earlier.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Thought Leaders: Why CIOs Are Shifting Away From Experimental IT Spend by Doug Laney<\/strong><\/p>\n A Chief Data Officer at a mid-cap logistics firm I advise was showcasing an AI tool designed to optimize container stacking. The other business executives were enamored with the sleek interface and the promise of a few points of efficiency gain. Meanwhile, a few floors below, a dormant script\u2014likely purchased for a few hundred bucks on the dark-web\u2014was quietly enumerating the firm\u2019s unpatched endpoints.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n The Editors Lens: Governing AI at Scale Requires Unified Data Control for Trust by Tim King<\/strong><\/p>\n At scale,\u00a0AI governance centers on trust.<\/a><\/strong>\u00a0Every interaction between AI systems and enterprise data must be secure, compliant, and transparent. Governance is becoming a continuous discipline that is embedded directly into how data is accessed, interpreted, and used by both humans and machines.<\/p>\n Read on Solutions Review<\/em><\/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 April 24,<\/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