DataStax Astra DB
Serverless vector database built on Apache Cassandra that empowers developers to build AI applications with real-time data handling. Features 20% higher relevance and 74x faster responses with advanced vector and knowledge graph capabilities.
About this tool
Overview
Astra DB Serverless is DataStax's cloud-native database built on Apache Cassandra, enhanced with vector search capabilities for AI applications. In 2025, DataStax was acquired by IBM to complement the watsonx portfolio.
Features
- Real-Time Updates: Vector updates immediately available to applications
- High Relevance: 20% higher relevance in search results
- Fast Responses: 74x faster responses compared to alternatives
- Built on Cassandra: Leverages proven Cassandra scalability
- Multi-Cloud: Available on AWS, Azure, and other cloud platforms
- Serverless: Automatic scaling without manual intervention
- Knowledge Graphs: Built-in support for graph data models
- Multi-Model: Document, graph, and vector data in one platform
Performance
Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads.
Use Cases
- Real-time AI applications
- Streaming data with vector search
- Enterprise RAG systems
- Multi-modal AI applications
- Applications requiring immediate consistency
Integration
Integrates with LangChain, LlamaIndex, and major AI frameworks. Compatible with Cassandra drivers and APIs.
IBM Acquisition
IBM announced its intention to acquire DataStax in 2025 to enhance the watsonx AI platform.
Pricing
Serverless pricing with pay-per-request model. Free tier available for development and testing.
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