Enterprise

VAST Data Introduces Fully Unified AI Data Platform And Launches Event Broker

VAST Data Platform capabilities include managing files, objects and blocks, tables, and streaming data within a single, unified architecture.

VAST Data has introduced new capabilities to deliver a unified data platform designed for the AI era. With the addition of Block storage functionality, the VAST DataStore now serves as a universal storage platform. VAST Data also launched the VAST Event Broker, an Apache Kafka-compatible event streaming service that facilitates real-time data ingestion and processing while enabling native querying of event topics through VAST DataBase APIs. By merging event streaming with structured analytics, enterprises can now handle all data types and workloads within a single system.

These developments position the VAST Data Platform as the only exascale solution capable of linearly scaling parallel data access performance for every data type —file, object, block, table, and streaming. By making all data accessible in a single system, enterprises can eliminate separate storage silos and address all workloads with a unified architecture. This approach delivers high performance, unlimited scalability, and optimal economics, accelerating the path to real-time insights and streamlined AI adoption.

With the addition of Block storage, VAST has redefined large-scale data management by combining previously siloed infrastructures into one platform. Key enterprise data services such as snapshots, replication, multi-tenancy, QoS, encryption, and granular RBAC are all provided natively in the VAST Data Platform. The introduction of VAST Event Broker unifies transactional, analytical, AI, and real-time streaming workloads. Organizations are now presented with real-time analytics, AI/ML data pipelines, and event-driven workflows via simplified management, stronger observability, and expanded SQL query capabilities.

Empowering Virtualized and Containerized Workloads

The addition of native Block storage and the VAST Event Broker further enhances the platform’s capacity to support virtualized and containerized environments, including:

  • Seamless Integration with Virtualization Platforms: The VAST Data Platform offers robust support for VMware, Hyper-V, and other hypervisors, ensuring that IT teams can isolate workloads, guarantee performance, and manage resources effectively across hundreds or thousands of VMs. Features like multi-tenancy and QoS simplify operations in large-scale deployments.
  • Optimized for Kubernetes and Containerized Applications: By enabling persistent Block storage for Kubernetes, Openshift, and other container orchestration systems, the VAST Data Platform provides the scalability and performance needed for transactional databases, microservices, and production-grade environments. It supports DevOps workflows, test environments, and mission-critical applications within a unified storage layer.
  • Unified Infrastructure for Hybrid Workloads: Rather than managing separate systems for virtual machines and containers, enterprises can consolidate these workloads into a single architecture. This drastically reduces operational overhead, streamlines provisioning, and delivers consistent performance regardless of the application environment.
  • Boot from SAN: Simplified Management and High Availability: Booting from Storage Area Networks (SAN) allows enterprises to streamline server deployment and management by reducing dependency on local disks. This method enhances disaster recovery and improves redundancy. It also facilitates the rapid provisioning of new virtual or bare-metal servers while ensuring consistent performance across IT environments.

Real-Time Streaming and Enhanced Analytics

With the introduction of the VAST Event Broker, organizations gain integrated event-streaming and analytics capabilities, including:

  • Real-Time Analytics and Notifications, IoT Data Streams, and Machine Learning Pipelines: VAST enables organizations to stream event logs for real-time processing, publish telemetry data, and deliver event-driven updates. This unified approach supports AI/ML processes and analytical tasks without requiring multiple systems, driving efficiency and innovation.
  • Enhanced Scalability, Observability, Resilience, and Ease of Use: Built on open-source Kafka concepts, the VAST Event Broker includes power-failure protection, independent scaling for storage and compute, data-reduction features, and native integration with the VAST Data Platform for querying event streams. Users also benefit from comprehensive observability tools and automated workflows that optimize operations and facilitate agile development.

Combining native Block storage with the VAST Event Broker, VAST Data remains committed to a single-platform vision that supports transactional, analytical, AI-driven workloads and real-time data streaming. Organizations can now seamlessly modernize their IT infrastructure and reduce management complexity.

Engage with StorageReview

Newsletter | YouTube | Podcast iTunes/Spotify | Instagram | Twitter | TikTok | RSS Feed

Harold Fritts

I have been in the tech industry since IBM created Selectric. My background, though, is writing. So I decided to get out of the pre-sales biz and return to my roots, doing a bit of writing but still being involved in technology.

Recent Posts

UALink Consortium Finalizes 1.0 Specification for AI Accelerator Interconnects

UALink Consortium ratifies Ultra Accelerator Link 200G 1.0, an open standard to meet the needs of growing AI workloads. (more…)

3 days ago

AMD’s Pensando Pollara 400 NIC Brings Programmability and Performance to AI Networking

AMD launches the Pensando Pollara 400, a fully programmable 400Gbps AI NIC designed to optimize GPU communication and accelerate AI…

4 days ago

CoolIT Unveils CHx2000 CDU with 2MW Liquid Cooling Capacity in Standard Rack Footprint

CoolIT’s CHx2000 CDU delivers 2MW of liquid cooling in a standard rack, setting a new bar for AI and HPC…

4 days ago

NVIDIA and Google Cloud Partner to Bring Agentic AI to Enterprises

NVIDIA and Google Cloud collaborate to bring agentic AI to enterprises utilizing Google Gemini AI models through Blackwell HGX and…

1 week ago

Proxmox Backup Server 3.4 Adds Faster Garbage Collection and Smarter Sync Filters

Version 3.4 focuses on incremental updates for performance, usability, and flexibility. (more…)

2 weeks ago

IBM Adds Meta’s Llama 4 Models to watsonx.ai

IBM integrates two of Meta's latest Llama 4 models, Scout and Maverick, into watsonx.ai platform. (more…)

2 weeks ago