Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!
Oracle made multiple announcements aimed at accelerating AI workloads and enhancing the integration between AI agents and operational analytics. The announcements include:
New Oracle Fusion Data Intelligence capabilities that help customers uncover insights closer to the workflows where decisions are made, ask questions in natural language, and better understand key performance drivers. The latest updates extend the AI-powered reporting and dashboard capabilities of Oracle Fusion Data Intelligence, helping organizations move from seeing what is happening to understanding why it matters and taking informed action.
New capabilities for Oracle Autonomous AI Lakehouse help organizations give users and AI agents business context, perform multidimensional simulations, and strengthen data governance across the enterprise data estate. The latest updates let customers work with real-time operational data alongside data in Apache Iceberg tables, while preserving business context, applying unified data governance, and avoiding unnecessary data movement.
New Oracle AI Data Platform capabilities that help customers build, deploy, and scale enterprise AI by giving agents a shared understanding of business entities, relationships, policies, and workflows. The platform provides a foundation for developing AI-powered solutions with consistent access to business context and configurable security controls.
Additional announcements with partners
Oracle and Google Cloud announced that Google’s Tensor Processing Units (TPUs) will be available through Oracle Cloud Infrastructure (OCI), marking the first time Google TPUs will be offered on a hyperscale cloud platform outside Google.
Oracle and Cerebras Systems announced plans to make Cerebras’ fast inference available on Oracle Cloud Infrastructure (OCI) for AI labs, enterprises, and developers building interactive, intelligent applications. The partnership builds on Oracle’s existing infrastructure and AI inference capabilities, which include Dedicated AI Clusters in OCI Enterprise AI.
Oracle and NVIDIA announced plans to expand Oracle Cloud Infrastructure (OCI) Superclusters with NVIDIA Vera Rubin NVL72 systems to multi-gigawatt scale, supporting growing customer demand for AI training, inference, and agentic applications. Oracle and NVIDIA also expanded their AI infrastructure collaboration with the general availability of NVIDIA Vera Rubin NVL72 and NVIDIA Vera CPUs on OCI.
Oracle and Snowflake announced that Snowflake AI Data Cloud will be available as a native, first-party service on Oracle Cloud Infrastructure (OCI). By making Snowflake available alongside Oracle’s comprehensive portfolio of infrastructure, AI, data, and application services, Oracle will give customers greater flexibility to put their enterprise data to work and drive AI-powered innovation.
Real-time analytics news in brief
Adeptia announced Automate 5.3, the company's latest agentic platform release. The latest release expands its native MCP capabilities, enabling users and AI agents to create data mappings using natural language and apply context-aware insights. This reduces reliance on deep technical expertise, speeds partner onboarding, and makes building new integrations easier at scale. The release centers on a redesigned AI Mapping experience that lets users and AI agents build and validate mappings in natural language, cutting onboarding time from days or weeks to minutes.
Airbyte announced new capabilities that enable users to chat directly with their data and use agents and AI assistants to monitor Airbyte pipelines, diagnose and resolve issues. The new Model Context Protocol (MCP) server added to Airbyte’s data movement platform makes all of this possible. Using the MCP open-source standard provides a natural-language interface to use with AI assistants such as Claude, Cursor, and ChatGPT.
Articul8 introduced Bivia, a multi-modal decision model that decides, locates, and proves what it sees and can be tailored to an organization’s industry knowledge, policies, and operating procedures. Built on billions of decisions made within Articul8’s enterprise AI platform, Bivia is now being offered through an API, allowing developers to build AI agents that make decisions across text, images, videos, tables, and charts without having to call a generative model for every step.
Ataccama announced headless master data management (MDM) in Ataccama ONE MDM 17.2. Headless MDM enables AI agents and business applications to work with master data directly, through Ataccama's MDM MCP server or its REST API. Ataccama’s 17.2 release also introduces a new user interface reflecting operations done in a headless fashion. This enables automated headless agentic processes to assign a task for a human data steward to approve, all while maintaining full auditability.
CIQ introduced CIQ Stratum Kubernetes Engine (SKE), open-source Kubernetes for the AI era. Kubernetes runs in 82% of organizations that use containers, and the Cloud Native Computing Foundation (CNCF) calls it the de facto operating system for AI. Running it still means assembling about ten upstream projects that each release on their own schedule. SKE ships them as one signed file that installs, joins, and upgrades the cluster.
Dataiku announced Dataiku Headless, a new capability that brings Dataiku Cobuild, its natural-language agentic interface, into the coding tools that technical teams already use every day. Headless gives developers a way to keep working in the coding agent they already trust, to create and modify data pipelines, models, dashboards, and agents as Dataiku projects.
EnterpriseDB (EDB) announced a preview of horizontal scaling for EDB Postgres Distributed (PGD), the distributed Postgres at the core of its EDB Postgres AI platform. The capability uses sharding to spread database updates across multiple groups of servers. This lets companies increase write capacity while maintaining PGD’s existing protections against outages as AI agents run around the clock and need to update databases to complete tasks.
Island introduced the Enterprise Browser for Agents, a new way for agents to access, read, and act on SaaS and web apps, internal applications, and public websites with all the organization’s enterprise controls and policies applied. Specifically, Island governs browser activities from the moment an endpoint or cloud agent calls the browser, including data movement, credential usage, and resulting outputs, according to the organization’s configured policies.
Jedify announced Jedify Data Agents, a new product that helps teams build autonomous analysts in plain language. Data Agents can monitor business metrics, investigate changes, and run recurring analyses. The solution draws on the company’s context graph technology to understand an organization's specific metrics, relationships, and business rules on an ongoing basis, enabling agents to reason over relevant information and surface deep insights with no manual data pulls.
New Relic announced a suite of integrations for GitHub Copilot that bring continuous telemetry directly into developers’ workflows from coding through deployment. The integrations help engineers understand coding agent usage as they work, correlate AI and human-generated code deployments with real-time application performance, and address production issues before they escalate. Developers now get the full power of New Relic without ever having to log into a dashboard or leave GitHub.
Percona announced the general availability of Percona Monitoring and Management High Availability (PMM HA), a new highly resilient deployment option for its flagship database observability platform. Generally available in PMM 3.10.0, the new release removes a critical single point of failure in database monitoring, helping organizations maintain visibility into database health and performance even when the infrastructure responsible for monitoring those systems experiences a failure.
Prophecy announced Prophecy DataGPT. The solution lets business data analysts do complete data work, from onboarding messy files to publishing finished reports, inside ChatGPT, Claude, and Microsoft Copilot. Every result comes with a visual data workflow that can be inspected and validated, and approved work ships as repeatable code on the data platform the organization already owns.
Solace announced extensive new capabilities to Solace Platform in its Fall 2026 product edition. Anchored on the theme “Unbound”, the release targets what typically holds enterprises back: data trapped in silos or distributed in batches, forcing agents and applications to base their work on old context. The new and expanded functionality collectively brings real-time data streaming and agentic AI together into a single system, so enterprises can sense, decide, and act the moment something happens.
Storyblok announced Storyblok Strata, a new offering powered by vector database technology. By enabling content discovery based on meaning and context rather than keywords alone, Strata is designed to help businesses unlock more value from their existing content through semantic search, personalized recommendations, contextual AI chatbots, and automated knowledge extraction. Available now, Storyblok offers a perspective on this shift and why making content AI-ready could be an important step toward delivering more practical value from AI investments.
Veraify announced it has added comprehensive token management capabilities to its AI-native security platform to help enterprises gain more visibility into their token usage and manage token costs. With Token Management, Veraify customers now get deeper insights into how, where, and who is consuming AI tokens and driving up AI costs. Additionally, Veraify provides comprehensive support across all AI tools, whether or not the enterprise knows about or approves them, including Shadow AI and enterprise-approved tools in the same report.
Virtana introduced Agentic Observability Enterprise Management (AOEM), enabling Virtana’s AI agents to autonomously assemble teams of specialized agents from across the enterprise to manage the full IT incident lifecycle. When an issue arises, Virtana's AI agents use Model Context Protocol (MCP) and the open Agent2Agent (A2A) protocol to enlist other agents with the expertise and tools needed to solve it.
Partnerships, collaborations, and more
Cloudera announced the launch of Cloudera Blueprints, a new portfolio of ready-to-deploy AI solutions designed to help enterprises accelerate the development and deployment of AI applications using their own data. Building on its existing Accelerators for ML Projects (AMPs), the expanded portfolio introduces NVIDIA AI Blueprints, built with NVIDIA Agent Toolkit on Cloudera, combining NVIDIA’s reference AI workflows with Cloudera’s enterprise data management, security, and governance capabilities to help organizations move AI use cases from proof of concept to production.
In other Cloudera news, the company announced the expansion of its Enterprise AI Ecosystem. To that end, the company introduced new partnerships with Neo4j and Cartesia, adding knowledge graph capabilities and real-time voice AI, while building on existing collaborations with Mistral AI and VAST Data to provide greater choice across AI models, infrastructure and deployment environments.
Komprise announced a new partnership with Spectra Logic to marry intelligent data management with economical tape storage. In the joint solution, Komprise indexes and analyzes data across storage, identifying and transparently tiering cold data from primary storage to Spectra BlackPearl Object Gateway, freeing hot capacity and avoiding costly refresh while maintaining a searchable catalog for AI.
If your company has real-time analytics news, send your announcements to ssalamone@rtinsights.com.
In case you missed it, here are our most recent weekly real-time analytics news roundups:
· Real-time Analytics News for the Week Ending October 24
· Real-time Analytics News for the Week Ending October 17
· Real-time Analytics News for the Week Ending October 10
· Real-time Analytics News for the Week Ending October 3
· Real-time Analytics News for the Week Ending September 26
· Real-time Analytics News for the Week Ending September 19
· Real-time Analytics News for the Week Ending September 12
· Real-time Analytics News for the Week Ending September 5
· Real-time Analytics News for the Week Ending August 29
· Real-time Analytics News for the Week Ending August 22
· Real-time Analytics News for the Week Ending August 15
· Real-time Analytics News for the Week Ending August 8
