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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of September 18, 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, education updates, 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 Acceldata Launches Private AI Factory For Governed Apps Built On Federated Enterprise Data<\/strong><\/p>\n Acceldata has launched xFactory, an early-access private AI software factory that turns natural-language business requests into tested and governed AI agents, applications, and analytics. Built on its xLake platform, xFactory provides more than 100 connectors, executes natively on Apache Spark, Trino, Kafka, and Hadoop, connects in place to Snowflake and Databricks, and applies data-quality, lineage, entitlement, and sovereignty rules at runtime without requiring data consolidation.<\/p>\n Read on for more\u2192 Acceldata Launches xFactory for Building Governed AI Applications From Business Intent on Federated Data<\/span><\/a><\/span><\/p>\n Acquia Finds CMOs And CIOs Lack Alignment On AI Ownership And Governance<\/strong><\/p>\n Acquia\u2019s global survey of 500 CMOs, CIOs, and CTOs found that marketing and IT leaders often disagree over who makes CMS and digital-experience platform decisions, with 57% of CIOs and CTOs describing themselves as the primary decision-maker while marketing respondents report a much more distributed model. The study also found that only 41% of CMOs are confident in their teams\u2019 ability to embed governance into AI initiatives and 61% say content is spread across too many systems to provide a reliable source of truth.<\/p>\n Read on for more\u2192 Acquia Research Finds CMOs and CIOs Don\u2019t Agree on Who Leads Their Shared AI Decisions<\/span><\/a><\/span><\/p>\n Alation Expands AIOS To Give Enterprises A Governed Operating Layer For Data And Agents<\/strong><\/p>\n Alation has expanded its AIOS platform with six new capabilities designed to help enterprises manage trusted data, context, and governance for AI applications and agents. The release strengthens Alation\u2019s position around using an enterprise data catalog and governance layer to make business context discoverable, enforce policy, and support more reliable AI deployment across fragmented data environments.<\/p>\n Read on for more\u2192 Alation Launches AIOS Expansion With Six New Capabilities<\/span><\/a><\/p>\n Cockroach Labs Launches Agentic Database Cloud To Pool Capacity Across Enterprise Estates<\/strong><\/p>\n Cockroach Labs has launched Cockroach Continuum, an Agentic Database Cloud that treats an enterprise database estate as a shared elastic system rather than a collection of independently provisioned databases. Continuum virtualizes thousands of isolated databases on CockroachDB, uses its new Cockroach Plenum layer to decouple compute and storage, adds Cockroach Aegis for AI-assisted operations, and prices compute and storage by consumption, aiming to reduce idle capacity and operational overhead as AI applications multiply.<\/p>\n Read on for more\u2192 Cockroach Labs Launches Cockroach Continuum, the Agentic Database Cloud for Running the Entire Database Estate as One Elastic System<\/span><\/a><\/span><\/p>\n Collibra Finds AI Teams Are Paying A \u201cHallucination Tax\u201d To Validate Agent Outputs<\/strong><\/p>\n Collibra\u2019s Harris Poll survey of 306 U.S. data, privacy, and AI decision-makers found that 72% attribute underperforming AI initiatives to weak or unaligned data foundations, while 76% have encountered critical roadblocks moving agent programs from pilot to production. Eighty-seven percent regularly re-verify the accuracy and currency of agent context, and 51% spend significant staff time reviewing and correcting agent outputs before release, underscoring how incomplete governance and context turn promised automation into manual oversight.<\/p>\n Read on for more\u2192 New Survey From Collibra by The Harris Poll Finds 72% of Tech Decision-Makers Feel AI Initiatives Today Are Falling Short<\/span><\/a><\/span><\/p>\n Databricks Lets Teams Resize Stateful Spark Streams Without Rebuilding Checkpoints<\/strong><\/p>\n Databricks has introduced on-demand state repartitioning in public preview for Apache Spark Structured Streaming workloads running Databricks Runtime 18 or later with the RocksDB state store. The feature lets teams change a stream\u2019s state-store partition count after deployment, safely redistributing accumulated state instead of forcing a checkpoint rebuild, which supports performance tuning and infrastructure right-sizing as throughput changes; Coveo reports a 40% reduction in related Amazon S3 API costs using the capability.<\/p>\n Read on for more\u2192 Announcing On-Demand State Repartitioning for Apache Spark Structured Streaming on Databricks<\/span><\/a><\/span><\/p>\n Five Streaming Vendors (Including Redpanda) Form Open Working Group For Real-Time AI Data Architecture<\/strong><\/p>\n Aiven, Confluent, Redpanda, StreamNative, and Ververica have formed the Streamhouse Working Group and published an open, vendor-neutral definition of \u201cStreamhouse,\u201d a data architecture for continuously capturing, transforming, governing, and serving the current state of a business to applications, analytics, and AI agents. The group defines the architecture as real-time, production-native, and decentralized, and will maintain the specification publicly while promoting interoperability across event streams, change data capture, stream processing, catalogs, open table formats, and low-latency serving systems.<\/p>\n Read on for more\u2192 Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group<\/span><\/a><\/span><\/p>\n Fivetran And dbt Labs Add Context, Faster Transformation, And Open Lakehouse Options For AI Agents<\/strong><\/p>\n Fivetran and dbt Labs have released dbt v2 and dbt State while introducing Fivetran Context Layer, dbt Wizard, dbt Charts, and an open data-infrastructure strategy intended to make enterprise data more usable for AI agents. The Rust-based dbt v2 engine can parse a 10,000-model project up to 10 times faster than v1, while Context Layer centralizes governed structured and unstructured knowledge in an open Agents Schema and exposes it to MCP-compatible tools, Anthropic, and ChatGPT; the companies also previewed DuckDB-based Lake Compute for running transformations directly against Apache Iceberg tables in customer cloud storage.<\/p>\n Read on for more\u2192 Fivetran + dbt Labs Announces New Capabilities to Make Enterprise Data Agent-Ready at dbt Summit 2026<\/span><\/a><\/span><\/p>\n Imply Makes Its Log Analytics Lakehouse Generally Available For Real-Time AI Operations<\/strong><\/p>\n Imply has made Lumi LogLake generally available, positioning its cloud-native log analytics platform as a way for enterprises to consolidate high-volume observability data while delivering fast search, analysis, and AI-assisted investigation. The service is designed to reduce the cost and operational complexity of managing log data across fragmented tools, helping teams support real-time troubleshooting, security, and AI-driven operational workflows.<\/p>\n Read on for more\u2192 Imply Lumi LogLake Now Generally Available<\/span><\/a><\/p>\n Keewano Raises $12 Million For Database Built Around AI Agent Reasoning<\/strong><\/p>\n Keewano has raised $12 million in seed funding led by Hetz Ventures, with participation from a16z speedrun, Remagine Ventures, and DIG Ventures, and launched KeewanoDB, a database built for machine reasoning over large event histories. The platform keeps complete event sequences together and ordered by entity, allowing agents to analyze behavioral patterns and answer context-heavy questions directly from raw data rather than rebuilding relationships at query time; Keewano says it can query 250 million events in under half a second.<\/p>\n Read on for more\u2192 Keewano Raises $12M and Launches KeewanoDB, the First Database Built for Machine Reasoning at Scale<\/span><\/a><\/span><\/p>\n Neudata Finds Alternative Data Spending Strong As AI Benefits Remain Efficiency-Led<\/strong><\/p>\n Neudata\u2019s 2026 survey of 191 global data buyers and providers found that 97% of buyers expect alternative-data spending to rise or remain steady over the next year, the strongest budget confidence in the report\u2019s three-year history. While 56% of buyers reported a measurable AI return during the past 12 months, 41% pointed to efficiency gains and only 17% to improved investment performance; the report also found that 44% of providers offer Model Context Protocol access, with more than half charging no additional fee.<\/p>\n Read on for more\u2192 Alternative Data Budget Confidence Hits 3-Year High While AI Returns Remain Efficiency-Led \u2014 Neudata\u2019s 2026 Industry Report<\/span><\/a><\/span><\/p>\n Neo4j Launches Graph-Native Platform For End-To-End Financial Crime Detection And Investigation<\/strong><\/p>\n Neo4j has introduced GraphAware Financial Crime Intelligence, its first offering since acquiring GraphAware, giving banks and insurers a graph-native platform for fraud, anti-money laundering, and compliance operations. The solution connects fragmented entities, transactions, devices, and relationships to surface suspicious patterns through multi-hop analysis, then delivers investigation-ready alerts, explainable decisions, and preserved relationship provenance across the detection-to-prevention lifecycle.<\/p>\n Read on for more\u2192 Neo4j GraphAware Financial Crime Intelligence Debuts for Full-Cycle Detection, Investigation & Prevention<\/span><\/a><\/span><\/p>\n Redgate Brings Governed, Database-Aware AI Assistance To Development And Operations Teams<\/strong><\/p>\n Redgate has launched Redgate Assistant, a purpose-built AI assistant available in Redgate Monitor and SQL Prompt that uses database context to help teams investigate issues, understand unfamiliar environments, improve code, and complete routine work faster. The assistant works within existing database permissions as a distinct, auditable user, and Redgate plans to add Verified Remediation capabilities that test proposed fixes against a safe database copy before human review.<\/p>\n Read on for more\u2192 Redgate Introduces Purpose-Built AI Assistant for Database Development and Operations<\/span><\/a><\/span><\/p>\n Semarchy Adds OpenShift And Rancher Support For Sovereign, Self-Hosted Data Management<\/strong><\/p>\n Semarchy has expanded self-hosted deployment options for its Data Platform with support for Red Hat OpenShift and SUSE Rancher RKE2, allowing organizations to run the platform on premises, in private clouds, or through hosting partners. The update gives regulated industries more flexibility to meet data-residency, security, and software-lifecycle requirements while using the same platform for governed data products, master data management, and AI-ready data operations.<\/p>\n Read on for more\u2192 Semarchy Expands Self-Hosted Options With Red Hat OpenShift and SUSE Rancher RKE2 Support<\/span><\/a><\/span><\/p>\n Yugabyte Reports Growth As It Extends Distributed PostgreSQL For Multi-Agent AI<\/strong><\/p>\n Yugabyte reported a 125% year-over-year increase in new paying customer logos during the first half of its fiscal year, alongside new EMEA and India go-to-market leadership and two AI-focused product lines: YugabyteDB AMP, a serverless multitenant PostgreSQL tier, and Meko, a shared context engine for multi-agent applications. The company says daily databases created by agents have increased 10x since Meko\u2019s May launch, as it positions distributed PostgreSQL for resilient, geographically distributed AI and cloud-native workloads.<\/p>\n Read on for more\u2192 Yugabyte Accelerates Agentic AI Momentum with New Product Lines, Global Expansion, and Industry Recognition<\/span><\/a><\/span><\/p>\n Solutions Review <\/em>Set to Host Imply for Exclusive Spotlight Show “Federated Search Done Right: Build Security Data Lakes with Existing Tools” on October 21<\/strong><\/p>\n See what federated search looks like when it\u2019s done right: immediate access to security data across SIEMs and object storage, using the search languages and tools your teams already know. Learn how to extend retention and reduce costs without rehydrating data, defining schemas, or changing how your SOC operates. And, hear what our customers think.<\/p>\n Register on LinkedIn<\/a><\/p>\n –<\/p>\n Mini Jam Q2, 2026: <\/i>AI in Practice: How L&D Are Actually<\/em> Changing Broadcasts June 25-26<\/b><\/p>\n AI\u00a0is quickly moving from experimentation to operational reality across education, workforce development, and practitioner\u00a0learning environments. What began as a conversation around tools has evolved into a much\u00a0larger\u00a0transformation\u00a0involving\u00a0skills<\/a><\/strong>, implementation strategies, institutional design, and\u00a0the future structure of learning itself<\/a><\/strong>. All-in, Mini Jam Q2, 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 on education.<\/span><\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Announces New EdTech Site on the Future of Work and Learning<\/strong><\/p>\n The site will provide\u00a0ongoing editorial<\/a><\/strong>,\u00a0expert thought leadership<\/a><\/strong>, research-driven analysis on\u00a0the state of EdTech<\/a><\/strong>, and awards programming through\u00a0Mesh Awards<\/a><\/strong>\u00a0to cover fully this transformation.\u00a0Solutions Review<\/em>\u00a0EdTech<\/a><\/strong>\u00a0will also house\u00a0information gain<\/a><\/strong>\u00a0from\u00a0quarterly virtual events<\/a><\/strong>,\u00a0expert panels<\/a><\/strong>,\u00a0podcasts<\/a><\/strong>, and more from its sister brand\u00a0Insight Jam<\/em>\u00a0(1M+ on YouTube<\/a><\/strong>), the\u00a0home for the human conversation<\/a><\/strong>.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n We Didn’t Build Solutions Review for AI, We Built it for Buyers by Tim King<\/strong><\/p>\n A nuclear bomb has been exploded in not only digital marketing, but enterprise tech buying. Buyers increasingly discover information through AI search and their favorite GenAI bot, social media platforms like LinkedIn, and synthesized answers rather than lists of blue links. Visibility still matters, but the question is evolving from \u201cCan you rank?\u201d to \u201cCan you be\u00a0anchored as trusted a source<\/a><\/strong>?\u201d<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam’s <\/em>Mesh Lab Episode 5 Now Available: Human-Centered Environments<\/strong><\/p>\n The conversation shifts beyond standard pedagogy to address the existential crisis facing students and workers as AI disrupts traditional ideas of productivity and purpose. Panelists emphasize the urgent need to stop measuring final outputs and instead focus on the creative, collaborative process of learning. Ultimately, the group argues that to foster uniquely human skills like adaptability in students, educators must first be granted the autonomy to exercise those exact same skills.<\/p>\n Watch on Insight Jam<\/em><\/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 September 18,<\/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