VAST DataBase delivers AI-native speed, exabyte-scale performance, and unified governance in a single AI Operating System.
VAST DataBase
Unify Transactions, Analytics, and AI at Scale
The hyperscale structured data solution that breaks the tradeoffs and unifies transactional and analytical workloads for the AI era.
Legacy Challenges
Why Traditional Databases Fall Short in the Age of AI
Learn how VAST ends fragmented architectures, complex ETL, and performance bottlenecks.
Performance Bottlenecks
Legacy architectures slow performance with shared-nothing designs that move massive data across networks—VAST DataBase eliminates latency for real-time AI.
Read the Data Lake Dilemma
Modernizing Threat Intelligence: Real Customer Results
A leading cybersecurity company replaced fragmented Elasticsearch clusters with VAST DataBase to analyze 2 billion malware files, eliminate costly cloud queries, and enable real-time threat correlation across years of historical data.
Core Capabilities
The Foundation for Modern Analytics and AI
The VAST DataBase revolutionizes how you manage data. It provides a single, hyper-scale solution designed for the AI era and optimized for performance, simplicity, and efficiency.
DASE Architecture for Scale & Speed
The VAST DASE architecture decouples compute from storage, eliminating bottlenecks so every node accesses the full global dataset. The result:—delivering linear scaling, single-millisecond latency at exabyte scale, and high availability for AI workloads.See Why DASE MattersTransactional & Analytical Support
VAST DataBase unifies transactional and analytical workloads. It writes in rows, perfect for transactions, and stores in columns, optimized for analytics. It is fully ACID compliant, ensuring efficiency, scalability, and reliability.Dive Into DetailsIntegrated Vector Store & Retrieval
An integrated vector store for real-time AI unifies semantic and structured data for advanced, powerful hybrid queries, simplifying management, enabling contextualized AI, and seamlessly scaling to trillions of vectors.Read Supporting White Paper
Real-time Event Analytics
VAST DataBase turns Kafka topics into queryable tables via direct ingest from VAST Event Broker, enabling instant analytics on real-time and historical data without ETL pipelines. This slashes latency and simplifies your architecture.Review Relevant GuideComprehensive Data Governance
VAST DataBase offers role-based and fine-grained access control on a unified platform. VAST ensures a single security and governance model from raw data to vectors, ensuring governance across AI and analytics pipelines.View Governance Case StudyProduct Benefits
Built for the AI-Driven Enterprise
Unprecedented Performance
Near-zero latency at exabyte-scale
Keep AI, analytics, and transactional workloads at peak speed. VAST DataBase delivers up to 20x faster queries and 40x faster transactions, with single-ms latency and linear scaling to exabytes—removing bottlenecks and ensuring consistent performance.
Read Our Modern Approach
Unified Data Foundation
Simplify your data landscape and lower costs by managing all data types in one platform. VAST DataBase applies consistent governance across structured, unstructured, and vector data, eliminating silos and enabling faster, trusted insights.
Feature Details
The Intelligent Foundation for AI and Analytics
The VAST DataBase transforms what’s possible with your data, delivering a unified, AI-ready architecture that scales effortlessly.
Scale & Speed
Transactional & Analytical Support
AI-Ready
Real-time Event Analytics
Co-Located Joins
VAST enables instant Co-Located Joins on massive tables. By eliminating the data "shuffle" and complex partitioning, the VAST DataBase executes joins locally within the architecture, delivering dramatically faster query response times.
Resources
Resources to Keep You Moving Forward
Solution Brief
VAST DataBase: A New Foundation for AI
Learn how the VAST DataBase delivers sub-second, real-time analytics on all your data (structured, unstructured, and vector) without the pipelines and silos of legacy systems.
3 pages
White Paper
Why VAST DataBase is Faster and Easier Than Iceberg for AI & Analytics
Examine the detailed benchmarking study that illustrates how VAST DataBase outperforms Iceberg, with methodology, results, and performance insights across real-world workloads.
26 pages
Webinar
Beyond Iceberg: How VAST DataBase Delivers 20x Faster Analytics & AI Performance
Gain expert insights into our benchmark results, why they matter, and how VAST DataBase translates speed into real-world efficiency and agility.
33:04
FAQ
Get the Facts About VAST DataBase
Read the Full Details
Traditional data warehouse architectures require separate systems for different workloads, creating complexity and latency. VAST collapses the traditional data stack—warehouses, event brokers, vector databases, ETL pipelines—into a single, AI-native platform. This eliminates the need to stitch together multiple systems and provides consistent governance from source to insight.
VAST delivers significant performance improvements over traditional data lakehouse stacks:
40x faster updates and deletes
20x faster filtering performance
10x lower CPU utilization
32x smaller scan sizes with VAST's Element Store compared to Parquet
Zero-copy updates and appends with no vacuuming, versioning, or compaction required
Yes. VAST delivers sub-second queries on real-time data with no staging or lag. The platform includes a Kafka-API compatible Event Broker that can ingest nearly two million events per second, streaming each topic directly into native, columnar tables. This makes every event immediately available for high-performance, SQL-based analytics without external brokers or staging layers.
No. VAST treats vectors as a first-class data type, stored directly in the VAST DataBase alongside structured metadata and raw content. This native integration eliminates the need for external vector databases, pipelines, or index management.
VAST customers routinely consolidate multiple legacy systems onto a single VAST deployment, cutting total cost of ownership (TCO) by over 60%. The platform achieves this through:
Infrastructure efficiency from the DASE architecture
Built-in data reduction capabilities
Elimination of multiple separate systems and their associated overhead
10x lower CPU utilization compared to traditional solutions
Join the VAST Community
Discover how visionaries, architects, and technologists are shaping the future of data. Collaborate, learn, and grow with the minds building tomorrow's data infrastructure.
