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Real-time Analytics News for the Week Ending June 6

In this week’s real-time analytics news: The Snowflake Summit produced many announcements from Snowflake and its partners.

Written By

Salvatore Salamone

Jun 7, 2026

13 minute read

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!

Snowflake held its annual users’ conference, the Snowflake Summit, this week in San Francisco. The company made a handful of announcements, which, when taken together, signal the company’s ambition to become the foundational platform for the emerging agentic enterprise.

Specifically, Snowflake is positioning itself as more than a data platform, arguing that successful enterprise AI requires three interconnected layers: trusted and governed data, intelligent agents that can build and automate applications, and AI assistants that help employees work more effectively.

With that said, key Snowflake announcements from the summit include:

The introduction of major new capabilities for Snowflake CoCo (formerly known as Cortex Code), which is a coding agent that makes it easier for builders to automate workflows, develop apps, and operationalize AI on enterprise data through a simple prompt. New capabilities expand its use across desktop, mobile, and Slack interfaces. In addition, builders can now let CoCo run tasks autonomously, assist with end-to-end app development and deployment, and help teams deliver production-ready results faster and more securely.

The introduced Snowflake Datastream, a new fully managed streaming service for Apache Kafka that brings real-time data and AI together in a single, governed platform, giving organizations an easier way to power AI apps and agents with fresh, continuously flowing data.

The renaming of Snowflake Intelligence, the company’s personal agent for knowledge workers. Playing off the CoCo name, Snowflake Intelligence is now called Snowflake CoWork. Enhancements announced at the summit are designed to make it easier for knowledge workers to leverage AI capabilities to gain insights into fragmented data. Using Artifacts, Cortex Sense, and personalization, CoWork unifies data, context, and AI into a single experience so that business teams can safely interact with AI to drive decisions.

Other Snowflake news

Snowflake announced new capabilities that enable interoperability for the AI era, allowing organizations to seamlessly access, govern, share, and act on data across systems without compromise. Powered by Snowflake Horizon Catalog, organizations can now transform siloed data into a connected, AI-ready foundation where users and AI agents securely discover, govern, and access their full business context.

Snowflake is also advancing open interoperability with support for Apache Iceberg v3 and Snowflake Storage for Apache Iceberg Tables, enabling teams to seamlessly work across data inside and outside of Snowflake, while minimizing data movement.

Snowflake and Anthropic announced developments in their strategic partnership. Building on Snowflake’s and Anthropic’s expanded partnership from December 2025, which integrated Claude models directly into Cortex AI across all major cloud platforms and established a joint go-to-market strategy, Snowflake and Anthropic are helping global enterprises deploy AI agents on their most critical business data.

Partner announcements from the Snowflake Summit

Alation announced that the Alation’s Data Products Marketplace now includes Semantic Model Mastering, a new capability that lets enterprises catalog semantic models from any platform, govern them as data products, and sync back to source systems. Semantic Model Mastering is available today via YAML upload, with expanded Snowflake connector and syncing support targeting June 2, 2026.

Ataccama announced new data product capabilities in Ataccama ONE that give enterprises a single, trusted, AI-ready version of the business data their teams and agents depend on. A Customer record, a Transaction, a Supplier, an Asset, each becomes a governed data product in Ataccama ONE with a clear owner, a verified definition, and an Ataccama Data Trust Index score that tells every team and AI agent whether that data is ready to use, delivered through Ataccama’s MCP Server into Snowflake CoCo, Cortex CoWork, and enterprise AI tools.

AtScale announced Snowflake Semantic Views XMLA Endpoint, powered by AtScale; a new integrated product offering that will be available in private preview soon. The XMLA Endpoint helps customers extend governed business definitions from Snowflake Semantic Views to Microsoft Power BI and Excel without mirroring data into another analytics environment, relying on stale extracts, or recreating metric logic outside Snowflake.

Cognizant announced an expanded collaboration with Snowflake with the aim of accelerating enterprise AI adoption through the Snowflake CoCo platform. The expanded collaboration is underpinned by strong enterprise adoption of the CoCo platform within Cognizant’s AI & Analytics practice, which integrates AI engineering, domain expertise, and ecosystem platforms to operationalize AI at scale.

Immuta announced the launch of three new capabilities on the Snowflake AI Data Cloud. These capabilities, powered by Snowflake, will help joint customers to provision and govern data access for AI agents at enterprise scale, delivering trusted, policy-driven access for every data consumer, human or AI, without slowing innovation. The three new capabilities, available on Snowflake Marketplace, address some of the most pressing challenges enterprises face as they deploy agentic AI at scale:

OneStream announced the launch of its new Snowflake connector as an addition to the OneStream Connection Center framework. The new connector provides a seamless bridge between enterprise data and Finance, allowing organizations to leverage Snowflake’s scale and performance while maintaining the governance, dimensionality, and financial intelligence of the OneStream platform.

Qlik announced expanded ways for Snowflake customers to bring real-time enterprise data, governed business context, and open agentic capabilities into Snowflake-centered AI and analytics initiatives. The announcement builds on innovations introduced at Qlik Connect 2026 and highlights how Qlik complements Snowflake by helping joint customers connect more enterprise data to downstream analytics and AI.

RelationalAI announced a series of new capabilities for Rel, its agentic decision intelligence system that runs natively in the Snowflake AI Data Cloud. With these new capabilities, joint customers can give decision agents the context, reasoning, and post-training needed to take action across the operations that drive the bottom line, including pricing, supply chain, network operations, and resource allocation.

ThoughtSpot announced integrations of Spotter and its suite of agents with Snowflake Cortex AI and Snowflake Semantic Views. This technical optimization provides Snowflake customers with a unified analytics experience, allowing high-reasoning agents to operate directly within the Snowflake security boundary while maintaining a single, governed source of truth.

TrustLogix announced that it has launchedtheTrustAI Integration for Snowflake Cortex AI.TrustAI provides a centralized access policy layer that governs fine-grained access for both data and MCP tools utilized by Snowflake Cortex AI agents. TrustAI enforces entitlements end-to-end in a multi-agent workflow, propagating authorization policy from the user to agent to tools, and all the way to the data source.

Read more about the CoCo, CoWork, and Horizon Catalog announcements here.

Real-time analytics news in brief

Intel announced a series of data center advancements, including new Intel Xeon 6+ processors, an expanded 800 Series Ethernet portfolio featuring the Intel Ethernet E835 controllers and network adapters, and continued progress on its AI accelerator roadmap, including updates on Crescent Island. To that end, Intel Xeon 6+ processors extend the Xeon 6 family with a focus on performance density, power efficiency, and operational scale for cloud‑native, agentic AI‑driven, and network‑intensive workloads.

In other Intel news, the company announced rackscale AI infrastructure for customers interested in scaling their inference and agentic workloads based on Intel Xeon processors and SambaNova SN-50 Reconfigurable Dataflow Units (RDUs).

Actian, the data and AI division of HCLSoftware, announced the Actian Data Steward Agent, a new AI agent embedded in the Actian Data Intelligence Platform to deliver a governed semantic layer and enable shared business context for enterprise AI systems, internal workflows, MCP-connected tools, and third-party AI agents. The agent automates the time-consuming work of metadata documentation, enrichment, and governance, accelerating time to value and reducing the manual effort required to build and maintain AI-ready data foundations.

Infoblox announced Infoblox IQ, an agentic operations layer. The solution continuously analyzes the DNS queries, DHCP leases, IP address assignments, device activity, and security events flowing through the Infoblox Platform to help teams identify issues faster, automate investigations, and take action with confidence. Infoblox IQ includes an agentic AI assistant and agentic AI actions, allowing teams to leverage a natural language interface to quickly understand network and security conditions, investigate issues, receive recommendations, and execute configuration changes. The company also introduced a Model Context Protocol (MCP) server for Infoblox’s security and networking solutions.

Jentic launched its API Scoring tool: a free CLI and web UI that evaluates whether a company’s APIs are ready for use by AI agents. Both tools score APIs across six readiness dimensions and are available immediately at no cost. The scoring framework was developed with input from senior figures in the API standards community, including a member of the OpenAPI Initiative’s Business Governance Board and an OpenAPI Initiative Ambassador, both of whom have joined Jentic.

Lookout launched Lookout AI Visibility & Governance, a mobile-native solution designed to provide organizations with the visibility needed to discover, govern, and secure AI adoption across their mobile ecosystem. By extending AI agent discovery and policy control into the mobile environment, Lookout provides a missing layer of visibility, enabling organizations to identify Shadow AI activity on mobile devices, detect unauthorized agent behavior, and enforce policy where traditional controls have no reach.

OutSystems introduced the Agentic Systems Platform, powered by the OutSystems Enterprise Context Graph. New capabilities deliver the tools that modern companies need to become AI-native, while preserving the autonomy and control necessary to meet their regulatory, operational, and financial imperatives. OutSystems also announced the OutSystems Agent Experience, a new platform layer that exposes a suite of A2A and MCP tools and services that enterprise developers can trust to build, orchestrate, and govern their agentic portfolio.

In other company news, OutSystems announced an expanded collaboration with Amazon Web Services (AWS) to deliver a powerful suite of enterprise AI capabilities. By combining the OutSystems platform with AWS cloud infrastructure and AI services, enterprises can deploy and manage agentic systems with complete control.

NVIDIA announced NVIDIA DGX Station for Windows, a deskside AI supercomputer designed to build, run, and connect always-on AI agents to Windows applications and workflows, capable of running frontier AI models of up to 1 trillion parameters locally. Building on the NVIDIA DGX Station system design, DGX Station for Windows brings NVIDIA GB300 Grace Blackwell-class AI infrastructure directly into the Windows ecosystem.

In other NVIDIA news, the company announced a major collection of open-source physical AI skills and tools that help developers turn complex robotics, autonomous vehicle (AV), vision AI, and industrial digital twin workflows into agent-executable tasks. To that end, NVIDIA physical AI skills, available as part of NVIDIA Agent Toolkit, let agents use NVIDIA libraries, models, and frameworks to speed the data generation, simulation, training, evaluation, and deployment pipelines behind robots, AVs, factories, and labs.

Postman announced the AI Engineer, a cloud-native AI agent that handles the full surface area of API work, from development, testing, and documentation to exploration and CI/CD integration. By shifting API work from manual effort to autonomous execution, the AI Engineer fundamentally changes the economics of API development, enabling teams to move faster, improve quality, and unlock the value of APIs that were previously unmaintained while delivering the governance needed to use agentic AI at scale.

Quali announced the launch of Stack Automation by Quali, a new deployment automation platform co-engineered with Cisco. The solution integrates Cisco’s validated infrastructure architectures with NVIDIA AI Enterprise software, NVIDIA NIM microservices, NVIDIA Nemotron open models, and agentic AI development capabilities. Offered exclusively through Cisco, the platform automates Day 0 planning and Day 1 deployment of full-stack infrastructure environments spanning compute, networking, storage, AI tooling, security, and observability, compressing deployment cycles that previously took weeks into hours.

Sentra announced the launch of the Sentra Platform for Continuous AI Data Readiness and Governance. The platform gives security and governance teams a continuous view of sensitive data, identity relationships, and AI access paths. The platform discovers and classifies sensitive data across the enterprise data estate, maps who and what can access that data, and provides the context needed to enforce controls across existing security workflows.

Partnerships, collaborations, and more

The Linux Foundation announced the intent to launch the Tokenomics Foundation, a new foundation that will focus on establishing open industry standards, benchmarks, and best practices for the economics of AI infrastructure. The Tokenomics Foundation will operate in close partnership with the FinOps Foundation, extending the discipline of variable technology spend into the era of token-based AI.

Anyscale announced the public preview of Anyscale on Azure. Built on Azure Kubernetes Service (AKS) and Azure Resource Manager (ARM), this Azure native integration allows enterprises to build and operate production-scale AI workloads entirely within their own Azure tenancy, with the same security, identity, billing, and operating model as other Azure services. Organizations can build their own models and serve them on the infrastructure they govern, keeping proprietary data and AI assets inside their cloud.

Aptiv PLC announced an expanded collaboration with NVIDIA to accelerate the adoption of production-ready edge AI. The companies are working together to evolve NVIDIA Jetson, including next-generation platforms such as Jetson Thor, into commercially supported, production-ready edge AI platforms for the next generation of intelligent systems.

Aviatrix announced integration of its Cloud Native Security Fabric with Microsoft Agent Control Specification, a network-layer implementation of an open control plane for AI agents. The integration extends a single Agent Control Specification policy file from the agent runtime into live network enforcement across AWS, Azure, Google Cloud, and on-premises Kubernetes. The integration is available to all Aviatrix customers at no additional cost through Aviatrix’s Early Access program.

CIQ announced full multi-cloud support for Fuzzball across CoreWeave, Amazon Web Services (AWS), Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), and Microsoft Azure. Enterprise teams define an AI training, inference, or HPC workflow once and execute it across any of these environments or on-premises infrastructure, with Fuzzball routing each job automatically to the optimal destination based on cost, performance, and data locality.

Cognizant announced an expanded strategic alliance with CrowdStrike to help enterprises secure artificial intelligence across their lifecycle, from the AI agents and models to the foundational infrastructure that supports the entire AI ecosystem. Building on a partnership established in 2025, Cognizant is bringing the CrowdStrike Falcon platform to its AI Factory and its Managed Cybersecurity Services, powered by the Cognizant Neuro Cybersecurity platform.

Dell Technologies announced updates to the Dell AI Factory with NVIDIA, adding Dell PowerEdge servers built with NVIDIA Vera CPUs to its AI infrastructure portfolio. The Dell PowerEdge R9822 and M9822 servers bring NVIDIA Vera CPUs to a broad range of deployments. The air-cooled, expandable 3U PowerEdge R9822 addresses use cases ranging from agentic sandboxes and analytics to general-purpose CPU infrastructure in any standard data center environment. The direct liquid-cooled PowerEdge M9822 also uses the Vera CPU, enabling dense compute for agentic AI and HPC workloads that demand maximum performance and efficiency at scale.

IBM and Google Cloud announced the launch of a new Google Cloud Practice, designed to help organizations more quickly scale AI into production and modernize core systems. The new practice combines IBM’s deep industry expertise and IBM Consulting Advantage, the company’s AI-powered platform that helps IBM teams design, build, and deploy AI solutions faster using agents and industry workflows, now with Google Cloud’s Gemini Enterprise Agent Platform, cybersecurity, and data capabilities.

Palantir Technologies announced a multi-tiered partnership with Google Cloud, enabling integrations across Google Cloud platforms and making Palantir available on Google Cloud Marketplace. As part of this partnership, Palantir offers two-way data federation between BigQuery and Foundry, building on existing support of zero-copy virtual table integration, as well as the two-way semantic exchange between Google’s Knowledge Catalog and Foundry’s Ontology.

Pinecone announced a new integration with Microsoft, connecting Pinecone Nexus and Microsoft OneLake. The Nexus integration connects directly to OneLake with no manual imports or upload steps. When an agent needs to complete a task, Nexus queries OneLake, builds an artifact scoped to that task and the user’s access permissions, and returns a structured, cited response through KnowQL. Every answer traces back to its source. No data is exposed beyond what RBAC permissions allow. PII is tagged at ingest and governed centrally.

Saturn Cloud announced a partnership with OpenNebula Systems to enable AI token factory infrastructure for Neoclouds. The integration combines OpenNebula’s GPU virtualization, secure multi-tenant orchestration, elastic Kubernetes integration, and bare-metal lifecycle management with Saturn Cloud’s fine-tuning, model serving, distributed training, and managed environment capabilities, creating a unified token factory stack for AI infrastructure operators.

Siemens expanded the capabilities of its Industrial Edge ecosystem through a partnership with industrial software company HighByte. The collaboration enables customers to seamlessly connect, contextualize, and transform data from operational technology (OT) and information technology (IT) sources, helping them to get value from industrial data. Additionally, users can efficiently consume and reuse industrial data sets from HighByte to build AI models, agents, and applications at scale, using Siemens’ Intelligence Center X software.

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:

Salvatore Salamone

Salvatore Salamone is a physicist by training who writes about science and information technology. During his career, 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.