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!
The Databricks Data + AI Summit 2026, held this week in San Francisco, saw a large number of announcements by the company and its partners. Some of the key Databricks announcements include:
- The launch of Genie One, an all-new agentic coworker that helps business teams automate and orchestrate their work across any data, structured or unstructured, analytical or operational, inside or outside Databricks. Genie One is part of Genie, Databricks’ suite of AI coworkers that turn business data into trusted answers and actions.
- The introduction of Lakehouse//RT, the real-time evolution of the Databricks Lakehouse. Lakehouse//RT allows enterprises to run real-time analytics directly on the governed Delta Lake and Apache Iceberg data, eliminating the need to set up separate serving systems to achieve millisecond performance. Powered by Reyden, a new compute engine built for the concurrency and latency demands of modern agentic enterprises, Lakehouse//RT is now available in Beta.
- The launch of CustomerLake, a new agentic Customer Data Platform (CDP). CustomerLake brings the CDP natively into Databricks, where customer data, AI models, and agents already reside. Built on the lakehouse and governed by Unity Catalog, this new offering consolidates customer data, identity resolution, audience building, campaign automation, and activation into a single AI-native foundation.
- The launch of Lake Transactional/Analytical Processing (LTAP), a new data processing architecture that unifies transactions, analytics, streaming, and operational data on a single copy of storage in the lake. With LTAP, enterprises have a single governed foundation to read, reason, and act on, without pipelines, replicas, or the ETL overhead that has defined data infrastructure for decades.
- The intent is to acquire Panther, a leading AI SOC platform. The acquisition will advance the company’s vision for the security lakehouse, a new category of security software that is disrupting legacy SIEM with an agentic approach. Together, Databricks and Panther will help organizations detect more threats, investigate every alert, and fight AI-driven attacks with AI.
Partner announcements
Collibra announced a significant expansion of its strategic partnership with Databricks. Through a new bi-directional integration with Unity Catalog and expanded capabilities spanning Genie and Agent Bricks, the two companies are making it possible for joint customers to operate AI at enterprise scale with the AI oversight, business context, policy guardrails, and traceability that production demands.
Immuta announced the expansion of its partnership with Databricks with the launch of four new capabilities: Immuta Agentic Data Access for Databricks, Intent-Driven Access Control powered by Databricks Unity Catalog’s role-based access controls (RBAC), the Immuta “Comply” App for Databricks Unity Catalog, and a scalable ABAC architecture for Group-Based Permission Assignment.
Opsera announced the availability of BrickForge on Databricks Marketplace. BrickForge runs natively inside a customer’s existing Databricks tenant under a Zero Business Data Contact principle, evaluating metadata and infrastructure patterns, not row-level data.
Salesforce announced an expanded partnership with Databricks to help organizations securely connect enterprise data with the customer relationships, permissions, approvals, and workflows required to drive trusted outcomes. In particular, the expanded partnership helps organizations connect enterprise data with the business context needed for humans and AI agents to make decisions and execute with confidence.
Siemens announced a new edge-to-cloud integration with Databricks and long‑time automation partner FFT Produktionssysteme GmbH (FFT). Together, the partners will connect production data directly to enterprise AI without complex IoT middleware. This will help industrial customers transform their production data into actionable insights and scale industrial AI across global operations.
Real-time analytics news in brief
MLCommons announced new results for the MLPerf Training v6.0 benchmark suite. This round of the benchmark testing saw the addition of two new benchmarks. The new benchmarks, combined with the submissions received, highlight rapid and significant changes in the AI ecosystem. Some highlights of the testing include:
- The MLPerf Training benchmark suite comprises full system tests that stress models, software, and hardware for a range of machine learning (ML) applications. Version 6.0 adds two new benchmarks: DeepSeek V3 and GPT-OSS 20B, both highlighting the industry-wide shift to sparse computation as exemplified by a Mixture-of-Experts (MoE) architecture.
- Version 6.0 set new records for the diversity of the systems submitted. Participants in this round of the benchmark submitted 95 unique systems, utilizing thirteen different hardware accelerators, 19 different host processors, and a couple of different software frameworks. 60% of the systems were multi-node. Notably, there are more than double the number of cloud systems submitted compared to the version 5.1 results six months ago, reflecting the emerging market for hosting AI training in the cloud.
- The MLPerf Training v6.0 round includes performance results from 24 submitting organizations: AMD, ASUSTeK, Azure, Cisco, CoreWeave, Dell, Fujitsu, GigaComputing, Google, HPE, Inventec, Krai, Lambda, MITAC, Neblus, Netweb Technologies India LTD, NVIDIA, Oracle, Quanta Cloud Technologies, SCITIX, Sigmicro, tinycorp, TTA, and Vultr.
Visit the Training benchmark page to view the full results for MLPerf Training v6.0 and find additional information about the benchmarks.
Amazon Web Services announced that Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service, is now generally available. The service handles data ingestion, storage optimization, and advanced retrieval so teams can go from prototype to production faster. To support such capabilities, Amazon Bedrock Managed Knowledge Base includes six native data source connectors—Amazon S3, SharePoint, Confluence, Google Drive, OneDrive, and Web Crawler—with automatic data syncing and managed vector storage optimized for price-performance.
Additionally, AWS made a series of announcements at its AWS Summit in New York this week. Those announcements include:
- Amazon Quick Updates: Amazon Quick now lets anyone build and deploy autonomous AI agents in seconds using plain language, no code required. Plus, Quick has a new proactive, interactive experience to make work even easier. With 16 new built-in integrations with companies like Adobe, Moody’s, and Snowflake, Quick also helps you work more effectively across your most used apps.
- AWS Continuum (Preview): AWS Continuum is a new AI-powered security capability that autonomously discovers, validates, and remediates exploitable vulnerabilities at machine speed, dynamically testing threats in a sandboxed environment so security teams only see confirmed risks, not theoretical scores.
- AWS Context (Coming Soon): AWS Context automatically builds a unified knowledge graph from your organization’s data, giving every AI agent the context it needs to act effectively. It maps relationships across structured and unstructured sources, surfaces business rules, enables agentic search, and continuously learns which sources and pathways are most reliable.
Airbyte announced the release of Airbyte 2.1. The new Airbyte 2.1 offers improved performance and scalability for large enterprise deployments. Additionally, it offers expanded enterprise governance and operational controls, along with enhanced self-managed deployment capabilities. Other enhancements include expanded support for modern AI and analytics architectures, as well as connector and synchronization improvements across structured and unstructured data sources.
C1 announced support for enterprise-managed authorization (EMA), the open MCP standard for governing how AI agents access enterprise tools. With EMA, users and agents authenticate once to C1. C1 then issues short-lived, scoped tokens, built on the open Cross-App Access (XAA) standard, that grant direct access to the MCP servers they’re entitled to with no separate login for each tool. The experience works like single sign-on for agents.
Cohesity announced Cohesity Maestro, making the full Cohesity Data Cloud natively accessible through Model Context Protocol (MCP). Built on the open MCP standard, Cohesity Maestro integrates natively with the AI platforms enterprises have already standardized on, including Anthropic Claude, OpenAI ChatGPT, and Google Gemini, without custom integrations or proprietary connectors. While some competitors have created a walled garden of agentic experience, Cohesity Maestro is open by design, giving enterprises broad choice over their AI stack and the flexibility to use the agentic tools best suited to their needs.
Everpure announced the availability of Everpure Data Stream, based on NVIDIA AI Data Platform reference design, which brings advanced AI capabilities directly to enterprise data where it already lives. It enhances Everpure’s comprehensive enterprise strategy to deliver AI-ready data. Everpure Data Stream reduces raw data preparation, enforcing stream-level access controls that keep information securely within the corporate network, and providing a scale-out architecture that lets storage and compute scale independently to match changing model requirements.
Kong announced the integration of Insomnia 13 with Kong Konnect, enabling API workflow automation across discovery, testing, and deployment. With Insomnia 13 integrated directly with Kong Konnect, developers can instantly discover and test any API endpoint across their organization. Endpoints, routes, and authentication settings are automatically synchronized from Kong’s source of truth, ensuring collections stay current without manual updates. Instead of spending time assembling test environments and configurations, developers can start testing immediately with everything they need already in place.
pgEdge announced pgEdge ColdFront, a transparent data tiering solution for PostgreSQL. Unlike other alternatives, ColdFront’s cold tier is fully writable: UPDATE and DELETE work on archived rows through the same SQL the application already uses, with no code changes and no rehydration required. Older data moves automatically to Apache Iceberg in Parquet format on any S3-compatible object store. Meanwhile, the complete dataset stays readable and writable through a single Postgres table name, and cold-tier scans operate at analytical speed thanks to the DuckDB vectorized columnar engine.
Prismatic announced that it has open-sourced its entire library of pre-built Application Connector and Data Platform components under the Apache-2.0 license, making the code freely available for developers to read, fork, and extend. Available through a public GitHub repository, the library automatically synchronizes with Prismatic’s internal source code on every release, ensuring it remains current with production versions.
Saviynt released major enhancements to its Agent Access Gateway, a runtime authorization layer that controls what AI agents can do as they interact with applications, data, APIs, tools, infrastructure, and other agents. The new release introduces Intent-Aware Runtime Authorization (IARA), a new capability that evaluates AI agent actions in real time based on identity, context, policy, and intent. If an action falls outside approved boundaries, Saviynt can block it and generate an audit event at runtime. With IARA, organizations can protect sensitive resources from unintended or unauthorized actions.
Virtana announced Agentic SLA Management, a new AI-native capability that transforms service-level agreements from static reporting metrics into an intelligent operational control plane for business outcomes. The solution enables organizations to define SLA-as-Code, continuously validate service performance against business commitments, and autonomously orchestrate alerting, response, remediation, and optimization across hybrid infrastructure, multi-cloud environments, and AI systems.
Workspot announced GUIDE, a new AI-powered platform that enables businesses to automate real work across desktop and web applications, without requiring APIs or traditional robotic process automation (RPA). GUIDE introduces a new category of automation: GUI agents that operate directly within graphical user interfaces (GUIs), interacting with applications the same way employees do. This approach allows organizations to automate work that historically couldn’t be automated using legacy automation tools like RPA (Robotic Process Automation).
Yugabyte launched YugabyteDB 2026.1 with enhanced AI capabilities and YugabyteDB AMP, a serverless PostgreSQL platform that gives every agent its own isolated database while scaling from prototype to production without rewrites. The release also introduces capabilities, including in-database RAG, vector search, database branching, MCP 2.0, and Resource Governance, to help organizations manage large fleets of agents more efficiently.
Partnerships, collaborations, and more
Cognizant announced that ServiceNow AI Agents now work with the Cognizant Neuro AI Multi-Agent Accelerator, giving enterprises a unified environment to orchestrate AI agents across the platforms they already run. Enterprises can coordinate ServiceNow agents alongside custom-built systems and other third-party agent platforms.
HPE announced new offerings to transform the HPE AI Factory with NVIDIA for the next era of AI, where intelligence adapts, evolves, collaborates, and governs. To that end, HPE Private Cloud AI, a turnkey AI factory solution co-engineered with NVIDIA, offers new capabilities that help customers deploy trusted, enterprise-ready agentic AI with greater control, observability, and efficiency.
Kyndryl announced the expansion of its multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to help customers adopt, deploy, and scale agentic AI as they modernize and operate mission-critical workloads on AWS. Under the expanded SCA, Kyndryl and AWS have committed to growing and strengthening Kyndryl’s global AWS business and technical team.
New Relic announced the integration of its Model Context Protocol (MCP) Server with Kiro, Amazon Web Services’ (AWS) AI-native, agentic development environment. The one-click integration enriches agentic coding workflows with real-time observability insights, closing the feedback loop between planning, shipping, and validating to boost developer velocity, improve code quality, and reduce mean time to resolution (MTTR) of performance issues.
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 June 13
- Real-time Analytics News for the Week Ending June 6
- Real-time Analytics News for the Week Ending May 30
- Real-time Analytics News for the Week Ending May 23
- Real-time Analytics News for the Week Ending May 16
- Real-time Analytics News for the Week Ending May 9
- Real-time Analytics News for the Week Ending May 2
- Real-time Analytics News for the Week Ending April 25
- Real-time Analytics News for the Week Ending April 19
- Real-time Analytics News for the Week Ending April 12
- Real-time Analytics News for the Week Ending April 5
- Real-time Analytics News for the Week Ending March 28
