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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of February 20, 2026.
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.
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BindPlane: Blueprinted NGINX → Elasticsearch pipelines for Kibana
BindPlane has published turnkey blueprints that define production-ready pipelines to collect, parse, enrich, and ship NGINX logs into Elasticsearch for analysis in Kibana. The blueprints standardize fields, handle edge cases, and apply best-practice mappings so SRE and security teams can stand up robust NGINX observability in minutes rather than building ELK/EFK pipelines from scratch.
Read on for more → https://bindplane.com/blog/bindplane-blueprints-for-elasticsearch-production-ready-nginx-log-pipelines-for-kibana
Google Cloud, Ab Initio Link Distributed Data For Agentic AI On Gemini
Google Cloud is integrating Ab Initio’s data integration, governance, and active metadata platform with BigQuery, Dataplex Universal Catalog, and Gemini to create a neutral data hub that unifies access to structured and unstructured data across more than 500 on‑prem and multi‑cloud sources, including legacy systems like COBOL, DataStage, Informatica, and SAS.
Read on for more→ https://www.hpcwire.com/bigdatawire/this-just-in/google-cloud-integrates-ab-initio-tools-to-connect-distributed-data-for-ai-agents/
Graphwise GraphRAG: Knowledge-graph-based RAG with 2x fewer inaccurate answers
Graphwise has launched GraphRAG, a retrieval framework that uses enterprise knowledge graphs—not just vector indexes—as the semantic backbone for LLM applications and agents. By unifying LLMs, structured knowledge, ontologies, and multiple search methods, GraphRAG reduces inaccurate answers by roughly 2x in benchmarks, preserves complex relationships that “flat” chunk-based RAG loses, and offers low‑code visual tooling and templates so subject‑matter experts can configure policy Q&A or tech support agents without Python, speeding production rollout.
Read on for more → https://graphwise.ai/news/new-graphrag-solution-moves-beyond-vector-only-rag-knowledge-graphs-provide-context-and-common-sense-to-ai/
Infosys–Anthropic Tie-Up Signals New AI Opportunity For Indian IT
A new Jefferies report highlights the collaboration between Infosys and Anthropic to build customized AI agents for enterprise customers as a sign that Indian IT services firms could be key beneficiaries of the shift toward domain-specific “small language models” built on proprietary data, rather than casualties of automation-led disruption.
Read on for more→ https://timesofindia.indiatimes.com/business/india-business/infosys-anthropic-collaboration-a-game-changer-for-it-sector/articleshow/128596452.cms
Komprise KAPPA: Serverless metadata enrichment for agentic AI over file silos
Komprise has launched KAPPA (Komprise AI Preparation & Process Automation), a serverless data-services layer that lets teams define Python-based “KAPPA functions” to enrich metadata across petabyte-scale unstructured data silos without moving files. These functions run over NAS, cloud, and SaaS stores, pushing custom tags into Komprise’s Global Metadatabase so data scientists and AI agents can globally search, curate, and zero-move ingest exactly the right files into AI pipelines, with Komprise handling infra spin-up, scaling, and teardown.
Read on for more → https://www.blocksandfiles.com/data-management/2026/02/20/komprise-launches-kappa-to-hunt-metadata-across-enterprise-file-silos/4091645
Liquibase Secure 5.1: Modeled change control comes to Snowflake
Liquibase Secure 5.1 now treats Snowflake control-plane changes—access/security configs, data sharing and movement, platform/cost controls—as modeled change types rather than opaque SQL scripts. That modeling enables policy-based approvals, object-aware drift detection, audit‑ready evidence, and reversible changes for Snowflake, standardizing how data teams govern and ship Snowflake changes across environments.
Read on for more → https://www.businesswire.com/news/home/20260219593019/en/Liquibase-Secure-5.1-Extends-Modeled-Change-Control-to-Snowflake
NETSCOUT Omnis AI Sensor: Curated “smart data” feeds for CSP AI agents
NETSCOUT’s Omnis AI Sensor for Service Providers converts raw 5G, RAN, core, MEC, and transport telemetry into real-time, curated “AI-ready smart data” so telcos can safely feed AI agents, analytics, and ops tools. By extracting, labeling, enriching, and normalizing key signals into smaller, high-fidelity streams, CSPs get a single, correlated view of performance and subscriber impact that speeds root-cause analysis, improves customer experience, and reduces data volume and infrastructure costs while cutting down on AI hallucinations.
Read on for more → https://www.businesswire.com/news/home/20260219835756/en/NETSCOUT-Delivers-AI-Ready-Smart-Data-for-Communications-Service-Providers
Qlik Cloud Government – Gov DoD now available via AWS Marketplace for JWCC customers
Qlik has made Qlik Cloud Government – DoD (SaaS), along with customer-managed Qlik Sense Enterprise and Qlik Data Integration, available in AWS Marketplace through a DoD-specific private listing for JWCC customers. The move gives defense mission teams a faster, standardized procurement path to trusted data products and governed analytics across cloud and on-prem environments, while maintaining the security and control required for regulated, mission-critical workloads.
Read on for more → https://www.businesswire.com/news/home/20260218897353/en/Qlik-Launches-Qlik-Cloud-Government-Gov-DoD-Qlik-Sense-Enterprise-and-Qlik-Data-Integration-in-AWS-Marketplace-for-JWCC-Customers
Quest Trusted Data Management Platform: Automated Data Product Factory + Trust Scores
At its core is the Automated Data Product Factory, which uses natural language and AI to translate business needs into production‑ready, reusable data products in days instead of weeks, and assigns each product a nine‑factor trust score (quality, lineage, governance completeness, timeliness, usage, and more) that updates as data drifts—helping organizations cut costs by up to 40%, deliver data products up to 54% faster, and reduce redundant work through higher reuse.
Read on for more → https://www.globenewswire.com/news-release/2026/02/17/3239373/0/en/Quest-Software-Transforms-Data-Management-with-the-Introduction-of-the-Quest-Trusted-Data-Management-Platform-Featuring-the-Automated-Data-Product-Factory-the-First-Converged-and-A.html
Rackspace & Palantir Team Up To Speed Governed Enterprise AI Rollouts
Palantir and Rackspace have formed a strategic partnership to help enterprises deploy Palantir’s Foundry and Artificial Intelligence Platform (AIP) in production environments in weeks or months instead of the typical months or years, combining Rackspace’s governed cloud operations with Palantir’s decision-intelligence platform to meet stringent security, compliance, and data sovereignty requirements in regulated and data-sensitive industries.
Read on for more→ https://www.tradingview.com/news/gurufocus:4edf29311094b:0-palantir-and-rackspace-team-up-on-enterprise-ai-rollouts/
Redgate 2026 State of the Database Landscape: AI outpaces control
Redgate’s 2026 State of the Database Landscape report finds AI use in database management has almost tripled year over year, but governance and change-management practices are lagging. As AI drives more frequent schema changes and data reuse across already complex estates, teams without consistent change control and data protection see rising risk that surfaces later as data quality, security, and compliance issues.
Read on for more → https://www.red-gate.com/our-company/newsroom/press-releases/redgate-unveils-2026-state-of-the-database-landscape-report-organizations-are-moving-faster-with-data-and-ai-than-they-can-safely-control/
Redpanda AI Gateway: A control plane for agents, MCP, and live data
Redpanda has expanded its Agentic Data Plane with an AI Gateway that serves as a unified access layer between applications, AI models, and MCP services, centralizing routing, policy enforcement, cost controls, and observability across all AI traffic. Together with unified identity, authentication/authorization, and OpenTelemetry-based AI observability, the platform gives enterprises a governance layer to safely connect AI agents and MCP servers to real-time enterprise data while tracking intent, inputs, and outputs for audit and evaluation.
Read on for more → https://www.redpanda.com/press/redpanda-introduces-ai-gateway-to-bring-control-and-governance-to-enterprise-ai
Safe Software: FME Flow now available via AWS Marketplace
Safe Software has made FME Flow—its enterprise integration and automation engine for “All-Data, Any-AI”—available in AWS Marketplace, letting AWS customers buy, deploy, and manage it through their existing AWS accounts and billing. FME Flow connects data across formats, locations, and speeds (including spatial data), eliminates custom code, and automates batch, event‑driven, and real‑time workflows so teams can move and prep data for AI without building bespoke pipelines.
Read on for more → https://finance.yahoo.com/news/safe-software-launches-fme-flow-140000908.html
SurrealDB raises $23M and ships 3.0 to become an AI-native, multi-model “memory layer”
SurrealDB has raised an additional $23 million (Series A extension, total funding $44 million) and released SurrealDB 3.0, positioning itself as a unified data and memory layer for AI and agentic workloads. Version 3.0 adds a new control layer plus stronger vector storage and indexing so one engine can handle relational, document, graph, time‑series, vector, geospatial, and key‑value data, simplifying AI architectures that need fast, consistent, real‑time access to diverse data types for agents and LLM apps.
Read on for more → https://siliconangle.com/2026/02/17/surrealdb-raises-23m-expand-ai-native-multi-model-database/
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.
NEW Series Launching Soon: The Human Conversation with Solutions Review President Doug Atkinson
What makes us so special? And why isn’t AI just simply going to replace us all? Doug is sitting down with educators, researchers, and practitioners to try to find out. With the rise of AI, it is more important than ever that we need to have the Human Conversation.
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Thought Leaders: The Hidden Crisis Killing Your Data & AI Strategy by Samir Sharma
I spoke with a C-suite leader this week who captured something I’ve been seeing everywhere: “I feel like I’m shouting about transformation from the stage while my team sits in the audience wondering what I’m talking about.” He’s not alone. What I’m calling “velocity whiplash” is the most under reported, over experienced pain point in enterprise AI today. Leaders are racing ahead while their organisations stand still. The gap between them is growing into a credibility crisis that’s quietly destroying AI transformations. You might think that’s too strong, but, it is something I’m continuing to hear.
Read on Solutions Review
The Editors Lens: How Leadership Development Groups Solve for the AI Skills Gap by Tim King
The future of analytics leadership development belongs to programs that prepare leaders to own the last mile with clarity, confidence, and authority. Anything less leaves organizations with powerful insight and no one truly responsible for its use.
Read on Solutions Review
Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI
Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.
Read on Solutions Review
Insight Jam Launches New “Mesh Lab” to Build a Framework for Work & Learning in the Age of AI
Insight Jam Mesh Lab is a year-long, monthly series of expert-led discussions dedicated to exploring and shaping the next generation of frameworks for work and learning in the age of AI. Rather than reacting to tools or trends, Mesh Lab is designed to initiate a sustained, cross-sector conversation about how human capability itself must be re-architected as AI becomes embedded across education, enterprise, and leadership.
Watch on YouTube
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, 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—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
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For consideration in future data management news roundups, send your announcements to the editor: tking@solutionsreview.com.
This article was written by Tim King on February 20, 2026
Tim is Solutions Review’s Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview.com.
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