![\"\"](\"https:\/\/www.europesays.com\/us\/wp-content\/uploads\/2025\/06\/Depositphotos_718319726_S-300x200.jpg\"\/)
<\/p>\n <\/p>\n
<\/p>\n In this week\u2019s real-time analytics news: MCP continues to gain momentum with multiple vendor announcements for support of the protocol. <\/p>\n <\/strong><\/p>\n 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,\u00a0sign up here<\/strong><\/a>!<\/p>\n Operant AI<\/strong><\/a> announced the launch of MCP Gateway, a new expansion of its flagship AI Gatekeeper platform that delivers comprehensive security for Model Context Protocol (MCP) applications. MCP Gateway introduces real-time discovery, detection, and defense for every layer of the MCP stack\u2014from local development tools like GitHub Copilot and Claude Desktop to remote AI agents deployed across Kubernetes, AWS Bedrock, Azure, Google Vertex AI, and more.<\/p>\n Real-time analytics news in brief<\/p>\n Ververica<\/strong><\/a>, an original creator of Apache Flink, announced a new partnership with Aiven. This partnership enables Aiven to provide Ververica\u2019s Unified Streaming Data Platform to their customers, expanding access to enterprise-grade streaming data capabilities for data-driven businesses around the world. Under the partnership, Aiven customers can now leverage enterprise-grade stream processing with Ververica\u2019s powerful platform, allowing them to make decisions and take actions at speed with data from any source. They also get expert support from the original creators of Apache Flink.<\/p>\n
Algolia<\/strong><\/a> announced the release of its\u00a0MCP Server, the first component in a broader strategy to support the next generation of AI agents. This new offering enables large language models (LLMs) and autonomous agents to retrieve, reason with, and act on real-time business context from Algolia safely and at scale.<\/p>\n CoreWeave<\/strong><\/a>\u00a0announced the launch of three new AI cloud software products and capabilities to help customers develop, deploy, and iterate AI faster. The rollout is the first software integration leveraging CoreWeave\u2019s cloud services to power\u00a0Weights & Biases<\/strong><\/a>, following CoreWeave\u2019s acquisition of Weights & Biases earlier this year. The new products and capabilities provide developers with an AI platform to train models, perform inference at scale and efficiently, and monitor production AI applications.<\/p>\n CTERA<\/strong><\/a> announced native support for the\u00a0Model Context Protocol (MCP). This support for MCP allows enterprises to connect LLMs and internally developed agents directly to private data without compromising security or compliance. CTERA has embedded this new capability into the CTERA Intelligent Data Platform, enabling users to look up, summarize, retrieve, manage, and create files using natural language, all while enabling IT and security teams the ability to maintain full control over access, auditing, and encryption.<\/p>\n Domino Data Lab<\/strong><\/a> announced its Spring 2025 Release \u2014 a major platform update that helps enterprises ship trusted AI products faster. The release introduces a unified system for productivity, governance, and delivery, turning fragmented initiatives into an AI factory for trusted, repeatable outcomes. It also announced Zero-to-AI, a new service offering designed to catalyze proven AI cultural change within enterprises.<\/p>\n EnterpriseDB<\/strong><\/a>\u00a0(EDB) announced new innovations to the EDB Postgres AI (EDB PG AI) platform designed to help enterprises deploy and scale AI securely and compliantly across their Postgres environments, whether in clouds or on-premises. Two new core capabilities include low-code\/no-code simplicity via AI pipeline creation and sovereign hybrid Postgres data estate management and observability.<\/p>\n Gurobi Optimization<\/strong><\/a> announced the launch of the\u00a0Gurobi Innovation Lab, an initiative designed to promote high-impact, cross-disciplinary innovation in collaboration with customers, academic institutions, strategic partners, and Gurobi experts. The lab hopes to accelerate idea exploration, enable external and internal collaboration, foster cross-disciplinary innovation, and more.<\/p>\n Hammerspace<\/strong><\/a> today announced its solution is available on the\u00a0Oracle Cloud Marketplace<\/strong><\/a>\u00a0and can be deployed on\u00a0Oracle Cloud Infrastructure\u00a0(OCI). With the Hammerspace Tier 0 solution, enterprises can transform existing local NVMe storage into ultra-fast, persistent shared storage inside OCI GPU virtual machines (VMs), eliminating the need for replication and avoiding delays or compromises.\u00a0<\/p>\n Incorta<\/strong><\/a> now lets Databricks users access detailed ERP data in days rather than months, avoiding costly transformation processes via its Incorta Connect. In particular, Incorta Connect delivers live, transaction-level data directly from complex systems like Oracle and SAP to Databricks users. This expands its ecosystem of supported platforms, which already include Snowflake and Google Cloud.<\/p>\n KPMG International<\/strong><\/a> launched KPMG Workbench, KPMG\u2019s foundational and single AI platform designed to scale global adoption and integration of AI while enhancing trust and control over AI across all geographies and teams. It is part of the global organization\u2019s multi-billion dollar investment in AI and agentic transformation and is the foundation that will underpin KPMG firms\u2019 client delivery platforms, KPMG\u00a0Digital Gateway\u00a0(Tax),\u00a0KPMG Velocity\u00a0(Advisory) and its smart audit platform,\u00a0KPMG Clara.<\/p>\n Latent AI<\/strong><\/a> unveiled Latent Agent, an agentic edge AI platform featuring intelligent automation that transforms how enterprises develop, deploy, and manage AI models at the edge. Built on the Latent AI Efficient Inference Platform (LEIP), Latent Agent provides automated optimization and deployment capabilities that enable developers to rapidly iterate, deploy, monitor, and secure edge AI models at scale.<\/p>\n OPAQUE Systems<\/strong><\/a> announced the launch of its Confidential Agents for Retrieval-Augmented Generation (RAG with turnkey workflows built on NVIDIA NeMo Guardrails and LangChain\u2019s agent framework, LangGraph). The solution enables enterprises to rapidly and securely deploy sophisticated, confidential AI agents. In particular, the solution provides infrastructure-level confidential guarantees, ensuring sensitive data remains encrypted at every step within hardware-backed Trusted Execution Environments (TEEs).<\/p>\n Pendo<\/strong><\/a> announced Pendo\u00a0Agent Analytics, a solution that gives companies visibility into how AI agents are performing.\u00a0Companies can leverage Pendo Agent Analytics to measure the performance of their digital workers like they would their employees and to measure the adoption of their agentic software like they would their SaaS applications.<\/p>\n
Savant Labs<\/strong><\/a> launched its Summer 2025 Release,<\/strong>\u00a0the latest software update utilized by business users and analysts for faster decisioning and insights. The release introduces Savant\u2019s Agentic Analytics Suite and Intelligence Graph, one-click integration with Anthropic Claude, and migration tools to help enterprises modernize from legacy self-service analytics platforms.<\/p>\n Silverfort<\/strong><\/a> released AI Agent Security. The new product empowers CISOs and their organizations to securely adopt AI by controlling what AI agents are allowed to access and protecting their identities. It keeps them governed, visible, and protected with the same rigor applied to human users. With Silverfort AI Agent Security, teams can\u00a0tether\u00a0every AI agent to a human identity, analyze its activity and the resources that it\u2019s trying to access, and dynamically enforce access control policies to prevent misuse and data leakage.<\/p>\n SingleStore<\/strong><\/a> announced new capabilities to deliver the ever-increasing performance required for deploying AI at the enterprise level. Updates are centered around five categories, including ingest and data integration, a speed layer on Iceberg for easier and faster data exchange with Iceberg external tables, improvements to boost database performance and increase scalability, and more. There are also enhancements to make life easier for developers, including SQrL improvements, integration with GitHub, Notebooks scheduling and versioning, and more.<\/p>\n
\n ![\"PTC](\"https:\/\/www.europesays.com\/us\/wp-content\/uploads\/2025\/06\/interactive-185856395415.png\"\/)
\n <\/a><\/p>\n
\n
\n <\/a><\/p>\n