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Real-time Analytics News for the Week Ending November 1

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In this week’s real-time analytics news: This week’s Confluent Current 2025 conference focused on bringing real-time data and AI together.

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!

Confluent made a number of announcements at this week’s Current conference. This year’s conference theme, “where real-time data and AI come together,” illustrates the increasing need for those developing AI initiatives to incorporate stream, events, and other forms of data-in-motion into their efforts. The announcements made at the conference reflected this demand. Specifically, the company announced:

  • The launch of Confluent Intelligence for building and powering context-rich, real-time artificial intelligence (AI). Built on Confluent Cloud, the fully managed stack continuously streams and processes historic and real-time data, delivering this context directly into AI applications. With Confluent Intelligence, businesses are able to establish AI systems that are grounded in dynamic, trustworthy data.
  • The General Availability (GA) of Delta Lake and Databricks Unity Catalog integrations in Confluent Tableflow, along with Early Access (EA) availability on Microsoft OneLake. Those features make Tableflow a fully managed, end-to-end solution that connects operational, analytical, and artificial intelligence (AI) systems across hybrid and multicloud environments. Additionally, Confluent now gets Apache Kafka topics directly into Delta Lake or Apache Iceberg tables with automated quality controls, catalog synchronization, and enterprise-grade security.
  • The introduction of its Real-Time Context Engine, a fully managed service using Model Context Protocol (MCP). The service delivers real-time, structured data and accurate, relevant context to any artificial intelligence (AI) agent, copilot, or large language model (LLM)-powered application. With Real-Time Context Engine, developers can use Confluent’s data streaming platform to manage their data infrastructure and quickly unlock trustworthy context for all their AI agents and applications anywhere.

Real-time analytics news in brief

NVIDIA and its partners made a number of AI and real-time analytics-related announcements at this week’s NVIDIA GTC conference. Among the NVIDIA items, the company announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. NVQLink connects the many approaches to quantum processors and control hardware systems directly to AI supercomputing, providing a unified, turnkey solution for overcoming the key integration challenges that quantum researchers face in scaling their hardware.

Some of the other notable announcements from the company’s partners include:

  • Hammerspace unveiled its solution designed to streamline enterprise data access for agentic AI applications. Aligned with the NVIDIA AI Data Platform reference design, the new solution eliminates the need for costly infrastructure overhauls or new storage silos, enabling enterprises to seamlessly harness their existing data for accelerated AI computing. 
  • Red Hat announced support for Red Hat OpenShift on NVIDIA BlueField DPUs. The company also announced that it would distribute NVIDIA CUDA Toolkit across RHEL, OpenShift, and Red Hat AI. It also introduced Red Hat’s STIG-hardened UBI for NVIDIA GPUs on Red Hat OpenShift.

Actian, the data division of HCLSoftware, announced the launch of the Actian Model Context Protocol (MCP) Server, a new capability of the Actian Data Intelligence Platform. The MCP Server enables enterprises to bring governed, high-quality data directly into artificial intelligence (AI) assistants built on large language models (LLMs) such as Claude and ChatGPT.

Akamai Technologies launched Akamai Inference Cloud, a platform that expands inference from core data centers to the edge of the internet. Specifically, the solution enables intelligent, agentic AI inference at the edge, close to users and devices. The platform is purpose-built to provide low-latency, real-time edge AI processing on a global scale. This launch of Akamai Inference Cloud leverages Akamai’s global distributed architecture and NVIDIA’s Blackwell AI infrastructure.

Altair announced major updates across Altair RapidMiner to help organizations operationalize intelligence, bridging human insight, data automation, and agentic AI collaboration across a unified ecosystem. The latest updates strengthen Altair’s data analytics and AI ecosystem, empowering organizations to build scalable, trusted, and intelligent data environments.

Anomalo introduced AIDA, Anomalo’s Intelligent Data Analyst, an AI data analyst built directly on top of its data quality platform. With AIDA, every data user can interact with their data using natural language, surfacing insights instantly, and knowing that every answer comes from monitored high-quality datasets. AIDA leverages Anomalo’s existing out-of-the-box connectors to more than 17 different data sources, including Google BigQuery, Databricks, and Snowflake.

CelerData announced the general availability of StarRocks 4.0, the latest major release of the open-source analytical database project that powers high-performance analytics for modern enterprises. StarRocks 4.0 combines open data lake flexibility with extreme performance and unified governance, enhancing speed, consistency, and scalability in an open analytics ecosystem.

Commvault introduced Data Rooms, a secure environment that enables enterprises to safely connect their trusted backup data to the AI platforms they rely on, or to their own AI initiatives, such as internal data lakes. The company also announced that conversation has become the new interface for managing enterprise resilience. This is made possible through Commvault’s Model Context Protocol (MCP) server. With this, users can interact with Commvault Cloud in simple natural language to configure, manage, and execute resilience tasks.

DeltaStream announced the broader availability of DeltaStream Fusion, its unified streaming data platform that brings streaming, real-time, and batch analytics together in a single, serverless experience. Originally launched in early access, DeltaStream Fusion is now production-ready and validated by customers. It is also available on Microsoft Azure, giving organizations even greater flexibility to deploy where their data lives.

Espresso AI launched a new solution that turns Databricks into an agentic lakehouse. The solution uses machine learning to optimize modern data warehouses in real time. In particular, Espresso AI for Databricks is built on three pillars offering an Autoscaling Agent, Scheduling Agent, and a Query Agent.

InfluxData announced that InfluxDB 3.6 is now available for both Core and Enterprise. This release introduces the 1.4 update to InfluxDB 3 Explorer, featuring the beta launch of Ask AI. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2. InfluxDB 3 Enterprise extends Core with long-term data retention, clustering, fine-grained security, and management capabilities.

Informatica announced its Fall 2025 release, introducing new features and capabilities that connect enterprise data to the next generation of AI agents. In particular, the new capabilities on the company’s Intelligent Data Management Cloud (IDMC) platform are designed to help customers unlock productivity, strengthen data security, and build trust in AI-powered decision-making. An example is the release of the first CLAIRE Agents that empower users to automate complex data management goals.

Leaseweb announced the availability of NVIDIA L4 GPUs in its Public Cloud platform in the United States and Canada. Already available in Europe, this marks the expansion of GPU acceleration to Leaseweb’s sovereign cloud infrastructure across North America, extending its AI-ready cloud beyond dedicated servers and empowering organizations to run demanding workloads with greater performance, flexibility, and cost efficiency.

OPAQUE announced its OPAQUE Studio for accelerating the secure development of Confidential AI agents. Built on LangGraph and now available on the OPAQUE Confidential AI Platform, OPAQUE Studio features runtime-verifiable trust that enables organizations to more quickly and confidently move agentic deployments from pilot to production environments.

Qlik announced the general availability of Multivariate Time Series (MVTS) in Qlik Predict, bringing GPU-accelerated, explainable forecasting directly into Qlik Cloud. Alongside MVTS, Qlik also revealed that its WriteTable capability is targeted to be generally available in December 2025. WriteTable lets teams act on AI-generated forecasts by updating operational tables and triggering downstream actions without leaving Qlik. 

SUSE announced SUSE Linux Enterprise Server (SLES) 16. The new release provides deeper visibility, insights, and automated management to streamline operations. Additionally, SLES 16 introduces agentic AI, with an implementation of the Model Context Protocol (MCP) standard. The SUSE Linux agentic AI implementation offers a secure, extensible way to connect AI models with external tools and data sources.

Teradata announced details about its new AI Services, addressing a critical enterprise challenge: transforming AI pilots into production-ready agentic solutions that deliver significant business value. The integrated offering combines embedded experts with proven methodology and Teradata’s knowledge platform to guide organizations in developing and scaling AI agents across their business.

Partnerships, collaborations, and more

Amplitude announced a collaboration with to launch an agent-to-agent integration for enterprise product and engineering teams. This agent integration enables AI-powered workflows where Amplitude acts as an agentic product manager, bridging the gap between product insights and code implementation.

Elastic announced a new integration with Azure AI Foundry, delivering observability for agentic AI applications and large language models (LLMs). The integration provides real-time insights into LLMs, generative AI, and agentic AI workloads, enabling organizations to build, monitor, and optimize intelligent agents on Azure AI Foundry.

SAS is now offering SAS Viya Essentials, a standard, secure deployment of select SAS Viya products on Microsoft Azure with SAS Managed Cloud Services. The ready-to-use offering makes it easier for customers to access SAS’s data and AI software in a standardized, simplified way.

WEKA announced it is developing the next generation of NeuralMesh by WEKA, its intelligent storage system, for the newly announced NVIDIA BlueField-4 data processing unit (DPU). This approach eliminates the need for standalone CPU servers, instead leveraging the networking bandwidth and compute improvement of NVIDIA BlueField-4 for modern AI data infrastructures.

If your company has real-time analytics news, send your announcements to [email protected].

In case you missed it, here are our most recent weekly real-time analytics news roundups:

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Salvatore Salamone

About Salvatore Salamone

Salvatore Salamone is a physicist by training who has been writing about science and information technology for more than 30 years. During that time, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.

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