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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of March 27, 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 Aerospike Adds LangGraph Memory Storage To Make Agent State Durable And Fast<\/strong><\/p>\n Aerospike NoSQL Database 8 now integrates with LangGraph as a durable, low-latency memory store for agentic AI workflows. The integration is meant to keep checkpoints and longer-lived conversational state from becoming a bottleneck as agent concurrency grows. Aerospike is positioning itself as a memory layer for production agents that need sub-millisecond access and horizontal scale.<\/p>\n Read on for more\u2192\u00a0https:\/\/aerospike.com\/press-release\/langraph-integration-agentic-ai-memory\/<\/span><\/a><\/p>\n BigID Adds DSPM-Aware DLP To Make Data Loss Prevention Less Noisy And More Contextual<\/strong><\/p>\n BigID\u2019s new DSPM-Augmented DLP approach uses live data intelligence to validate alerts, eliminate false positives, and continuously tune policy based on what data is actually sensitive. Instead of relying on static classification alone, the platform cross-checks DLP alerts against AI-powered data findings so security teams can prioritize genuine risk and improve classifier quality over time. BigID positions the release as a data-first alternative to legacy DLP, where discovery informs policy and enforcement feeds back into better detection.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.hpcwire.com\/bigdatawire\/this-just-in\/bigid-reimagines-dlp-for-the-ai-era-with-dspm-augmented-data-loss-prevention\/<\/span><\/a><\/p>\n Capital One Software Expands Databolt To Secure Unstructured Data In AI Workflows<\/strong><\/p>\n Capital One Software has expanded Databolt to automatically identify and protect sensitive data in unstructured formats such as PDFs, emails, and transcripts. The new capabilities are meant to reduce the gap between sensitive data and safe AI adoption by masking or securing data at rest, in motion, and in use. Databolt is being positioned as a security platform that helps enterprises unlock more data for AI without exposing regulated information.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260323156095\/en\/Capital-One-Software-Expands-Databolt-Capabilities-to-Address-Growing-Complexity-of-Enterprise-Data-Security<\/span><\/a><\/p>\n CData Sync Adds Orchestration, CDC Expansion, And Open Table Support<\/strong><\/p>\n CData has expanded Sync with built-in pipeline orchestration, broader change data capture for systems like IBM Db2 and SAP HANA, and support for open table formats including Delta Lake and Apache Iceberg. The new Pipelines feature lets teams sequence replication jobs, transformations, and events inside one platform instead of stitching together separate orchestration tools. CData is pitching the update as a way to keep hybrid data pipelines fresh, governed, and ready for analytics and AI workloads.<\/p>\n Read on for more\u2192\u00a0https:\/\/datacenter.news\/story\/cdata-adds-pipeline-orchestration-broader-cdc-support<\/span><\/a><\/span><\/p>\n Cribl Guard\u2019s Background Detection Finds New Sensitive Data Patterns Before They Become Incidents<\/strong><\/p>\n Cribl\u2019s new background detection for Cribl Guard uses AI to continuously analyze telemetry and uncover previously unknown PII, secrets, and regulated data patterns in motion. Instead of waiting for a human to define every rule, the system spots emerging patterns and lets teams review, dismiss, or turn them into Guard rules for future prevention. Cribl is positioning the feature as a shift from static policy toward continuous discovery, so sensitive data can be caught in flight before it lands in downstream systems.<\/p>\n Read on for more\u2192\u00a0https:\/\/finance.yahoo.com\/sectors\/technology\/articles\/background-detection-cribl-guard-proactively-130000625.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAAJJl_kB7CpO3Yc88_BPrc-3WZR6CYxRVB9LjUh3_CYqnNjndJxLO82b8HmT53KgoZzsd_0Y8WWK1cLvEEl5S746pMUJKQSVjgnVJH6ciR-skeoTpZntF2OlQVpAd3H1Bo54gmGz_GoCscHZBexlmspFUQ4PdijFydeGKfm_C-rO<\/span><\/a><\/p>\n DataBahn\u2019s Autonomous In-Stream Intelligence Makes Security Pipelines Self-Operating<\/strong><\/p>\n DataBahn has introduced Autonomous In-Stream Data Intelligence, an operating model where telemetry is interpreted, normalized, validated, and acted on while it is still flowing through the pipeline. The system uses source identity, asset classification, topology, and historical behavior to determine context, then performs enrichment and schema handling automatically so teams do not have to write brittle parsers or scripts. DataBahn says the long-term vision is a self-healing, self-operating data fabric that can feed SIEM, observability, and AI systems with trusted data in real time.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.helpnetsecurity.com\/2026\/03\/26\/databahn-autonomous-in-stream-data-intelligence\/<\/span><\/a><\/span><\/p>\n Denodo Joins The Open Semantic Interchange To Standardize Business Meaning Across Tools<\/strong><\/p>\n Denodo has joined Snowflake and other industry leaders in the Open Semantic Interchange, an open initiative to create a vendor-neutral specification for business semantics. The goal is to let metrics, definitions, and context move consistently across dashboards, notebooks, ML models, and AI applications instead of breaking at each tool boundary. Denodo says its semantic layer can act as the trusted bridge between live operational data and the OSI standard across hybrid, multi-cloud, and sovereign environments.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.globenewswire.com\/news-release\/2026\/03\/24\/3261476\/0\/en\/Denodo-Joins-Snowflake-and-Industry-Leaders-to-Advance-Data-and-AI-Interoperability-through-the-Open-Semantic-Interchange.html<\/span><\/a><\/p>\n Domo Redesigns Magic ETL To Turn Trusted Data Into Faster Agent Creation<\/strong><\/p>\n Domo has enhanced Magic ETL with a redesigned experience that accelerates the creation of trusted datasets for analytics and AI workflows. The updated flow is meant to make data preparation more visual and productive so teams can move from raw inputs to governed outputs faster, especially as they build more operational AI use cases. Domo says the improvements will help customers convert integrated data into reliable, reusable data products that power agentic applications across the business.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.domo.com\/news\/press\/domo-enhances-data-integration-with-new-magic-etl-experience<\/span><\/a><\/span><\/p>\n Fivetran Pushes SQLMesh Into The Linux Foundation To Strengthen Open Data Infrastructure<\/strong><\/p>\n Fivetran has contributed SQLMesh to the Linux Foundation, making the project part of a vendor-neutral open source ecosystem. The goal is to advance open data infrastructure by giving teams a more maintainable way to build and govern SQL transformations across modern analytics environments. Fivetran is framing the move as a community investment in reliability and portability for the data layer that feeds AI and analytics workflows.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260325552632\/en\/Fivetran-Contributes-SQLMesh-to-the-Linux-Foundation-to-Advance-Open-Data-Infrastructure<\/span><\/a><\/span><\/p>\n Immuta\u2019s Agentic Data Access Treats AI Agents As First-Class Identities<\/strong><\/p>\n Immuta has introduced Agentic Data Access, a data provisioning model that gives AI agents temporary, policy-based access to enterprise data without borrowing a human\u2019s credentials. When an agent requests data, Immuta evaluates the request against centrally defined policies and provisions just-in-time access directly in the underlying platform, then automatically removes that access when the task is complete. The result is role vending for agents, zero standing privileges, and a fully auditable trail of what data was accessed, by which agent, and on whose behalf.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.prnewswire.com\/apac\/news-releases\/immuta-introduces-the-first-data-provisioning-platform-for-managing-agentic-data-access-302722932.html<\/span><\/a><\/p>\n Komprise Flash Stretch Maps NAS Data To Lower-Cost Tiers And Tries To Reclaim Flash Capacity<\/strong><\/p>\n Komprise has launched Flash Stretch, an assessment service that analyzes NAS environments and estimates how much primary flash capacity can be freed by moving colder data to cloud or object tiers. The service is designed to show savings without the usual rehydration penalty associated with storage-vendor tiering, and Komprise says many environments could recover more than 70% of primary capacity depending on usage patterns. It also models downstream backup savings, making the pitch about both capacity relief and cost reduction across the file-data lifecycle.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.blocksandfiles.com\/data-management\/2026\/03\/26\/komprises-flash-stretch-tiers-nas-to-cloud-for-flash-capacity-savings\/5211648<\/span><\/a><\/p>\n The Linux Foundation has welcomed SQLMesh, giving the project a neutral home for SQL transformation pipelines and data workflow management. The move is aimed at broadening community participation around building, testing, versioning, and deploying reliable data transformations for modern analytics stacks. It also reinforces SQLMesh\u2019s role as open data infrastructure that can sit underneath increasingly AI-heavy pipelines.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.linuxfoundation.org\/press\/linux-foundation-welcomes-sqlmesh-project<\/span><\/a><\/span><\/p>\n MariaDB Closes GridGain Acquisition To Push Toward An \u201cAI-Ready Operating Platform\u201d<\/strong><\/p>\n MariaDB has completed its acquisition of GridGain Systems, combining MariaDB\u2019s relational database platform with GridGain\u2019s in-memory computing layer. The company says the result is an AI-ready operating platform designed for autonomous agents, where transactions, analytics, and in-memory speed live in one system to support extreme-velocity workloads. MariaDB is pitching the deal as a way to serve sub-millisecond AI application needs without forcing customers to stitch together separate operational and analytics stacks.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.marketscreener.com\/news<\/span><\/a><\/p>\n Percona And Chainguard Pair Secure Containers With Enterprise Database Support<\/strong><\/p>\n Percona has partnered with Chainguard to provide secure-by-default container images for open source databases with enterprise support layered on top. The companies are targeting teams that want production-ready software with lower CVE exposure and less build-time risk, without sacrificing operational support. Percona is positioning the collaboration as a cleaner path to secure open source database deployment in modern cloud environments.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.globenewswire.com\/news-release\/2026\/03\/25\/3262207\/0\/en\/Percona-Partners-with-Chainguard-to-Deliver-Supremely-Secure-Open-Source-Software-with-Enterprise-Grade-Support.html<\/span><\/a><\/span><\/p>\n Progress ShareFile Adds eIDAS-Supported e-Signatures To Streamline Secure Document Workflows<\/strong><\/p>\n Progress ShareFile is adding AES and QES e-signature support to help customers meet UK and EU compliance requirements. The feature is aimed at reducing the number of signing tools organizations need to manage while keeping document workflows secure and audit-friendly. Progress is framing the update as a governance and productivity improvement for teams that move sensitive contracts and approvals through ShareFile.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.globenewswire.com\/news-release\/2026\/03\/25\/3262246\/0\/en\/Progress-ShareFile-Adds-eIDAS-Supported-e-Signatures-to-Streamline-Secure-Document-Workflows.html<\/span><\/a><\/p>\n Syndigo Launches Synapse To Bring Agentic PXM To Commerce Data<\/strong><\/p>\n Syndigo has launched Synapse, an agentic product experience management platform built on its multi-domain MDM foundation. Synapse uses coordinated AI agents to operate across product, supplier, location, compliance, and performance data, with human oversight built into the workflow. The company\u2019s pitch is that product content operations can move from manual task execution to governed autonomy while improving product data quality and commercial outcomes.<\/p>\n Read on for more\u2192\u00a0https:\/\/syndigo.com\/news\/syndigo-launches-synapse-agentic-pxm\/<\/span><\/a><\/span><\/p>\n Relyance AI Launches Lyo To Monitor How Agents Interact With Enterprise Data<\/strong><\/p>\n Relyance AI has made Lyo commercially available, calling it an autonomous data-defense engineer for monitoring how AI agents interact with enterprise data. Lyo continuously maps identity-to-data relationships, watches activity across code, cloud infrastructure, MCP servers, SaaS apps, and third parties, and applies policy alerts and contextual classification around sensitive data flows. The product is meant to give teams a complete data exposure graph so they can secure agentic systems without losing visibility or control.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260323000065\/en\/Relyance-AI-Sets-New-Enterprise-Data-Security-Standard-with-Commercial-Availability-of-Lyo<\/span><\/a><\/span><\/p>\n What to Expect at Mini Jam, Q1 2026: The Skills Reckoning on March 31<\/b><\/p>\n All-in, Mini Jam Q1, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI. Be sure to\u00a0register for free at\u00a0Insight Jam<\/em><\/a><\/strong>\u00a0to watch all the sessions live or on demand.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam<\/em> is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 31<\/strong><\/p>\n While AI can generate insights at unprecedented speed and scale, it cannot verify those insights against business reality, interpret them within organizational context, or take accountability when decisions go wrong. That responsibility still belongs to people. In this live Insight Jam<\/em> session, Donald Farmer introduces the concept he calls the last mile<\/i>: the critical gap between AI-generated output and trustworthy business action.<\/span><\/p>\n Register free on LinkedIn<\/a><\/p>\n Solutions Review<\/em> is Getting Set to Host Informatica for the Spotlight event: The Transparency Mandate: Navigating the Digital Product Passport on April 22<\/strong><\/p>\n With the next\u00a0Spotlight event<\/a><\/strong>, the team at\u00a0Solutions Review<\/em> has partnered with leading AI-powered cloud data management vendor Informatica. In this session, Chris from Informatica will explore a strategic framework for mastering global product traceability. He will move beyond the regulatory hype to discuss the architectural foundation required to unify multi-tier supply chain data into a single, trusted source of truth that strengthens brand equity and ensures compliance.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n The Editors Lens: AI ROI: How Should Enterprises Benchmark AI Success? by Tim King<\/strong><\/p>\n AI success ultimately depends on trust<\/a><\/strong>. When decision-makers cannot rely on the outputs generated by AI systems, adoption slows, and business impact becomes elusive. As a result, organizations are beginning to rethink how AI initiatives should be designed and measured, shifting toward strategies that\u00a0prioritize trusted data<\/strong><\/a>, consistent definitions, and architectures capable of delivering reliable, governed information at scale.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n The Editors Lens: Is Your Brand Cited in AI Answers? If Not, You’re Not on the Vendor Shortlist by Tim King<\/strong><\/p>\n Enterprise marketing teams are still largely operating under a familiar assumption: if your content ranks, your brand will be discovered. For years, that assumption held. SEO performance was a reliable proxy for visibility, and visibility translated into pipeline. That assumption is now breaking down in a way that is not immediately obvious in your dashboards.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Thought Leaders: Five Winning Traits of Agentic Analytics Leaders by Kevin Petrie<\/strong><\/p>\n We use BARC primary research to profile this 27%, whom we call agentic analytics leaders, and identify five winning traits: agentic analytics leaders are mature, governed, measured, adoption-focused, and broad-based in their use of AI. We define each trait below and recommend next steps for the other 73% of organizations to start acquiring them.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n –<\/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 March 27,<\/strong> 2026<\/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