Eliminate operational overhead and lower TCO while building with an intuitive Data API and vector search for generative AI applications.
Scale to petabytes of data for the most demanding applications, with world-class performance at a fraction of the cost. A modern Data API, Storage Attached Indexing, and built-in vector search capabilities enable developers to build modern apps without constraints.
Zero-downtime migration tools mitigate risk as you move to Astra DB. A phased migration approach enables rollback at any time. Cutover when confident.
Operational overhead shrinks dramatically with automated backup, restore, and cloning. Multi-region deployment and pay-as-you-go pricing support mission-critical production workloads.
Reduce onboarding time and overhead by using the tools developers know and love. Seamless integrations with popular AI tools like Vertex AI, Vercel, GitHub and more.
The Data API for Astra DB makes it easy to build GenAI apps. Access rich functionality, scalability, and the performance of Astra DB, without the need for complex data modeling. The Data API includes clients for Python, TypeScript, and Java with extensive examples and detailed documentation, showing you the development steps for GenAI apps.
Astra DB is integrated with Langflow making it easy for developers to experiment and try different strategies for their application. Switch between embedding modes, LLMs, retrievers, etc. easily and test with real data in a secure, hosted solution with no installation required.
Read storyPriceline leverages real-time data infrastructure and generative AI to build highly personalized experiences for customers, combining AI with real-time vector search.
Announcing Astra DB Hybrid Search, now enhanced with server-side reranking using the NVIDIA NeMo Retriever reranking microservice - built with NVIDIA NIM, part of the NVIDIA AI Enterprise software.
We’re thrilled to announce that DataStax is the only hybrid vector database named a Leader in the Forrester Wave™: Vector Databases, Q3 2024 report. Learn how we approach this emerging market.
A hybrid database system enables organizations to manage both structured and unstructured data across on-premises and cloud environments, providing greater flexibility and scalability.
Astra DB is a cloud native NoSQL database designed for building real-time AI applications. With built-in vector search capabilities, it allows AI models to retrieve relevant data quickly, making it ideal for generative AI, natural language processing, and recommendation systems.
Astra DB’s vector search enables AI models to find patterns and similarities within large datasets, essential for tasks like image recognition, language translation, and semantic search. It offers low-latency performance, ensuring AI applications can deliver real-time insights.
Yes, Astra DB is optimized for real-time analytics and can integrate with Astra Streaming to process data as it arrives. This makes it ideal for use cases like fraud detection, predictive analytics, and IoT data processing.
Unlike traditional NoSQL databases, Astra DB offers serverless scalability, built-in vector search, and multi-cloud deployment. Its fully managed environment reduces database administration, while its distributed architecture ensures high availability and low latency.
Yes, Astra DB is designed for multi-cloud and hybrid cloud environments, running seamlessly on AWS, Google Cloud, and Microsoft Azure. This flexibility helps businesses avoid cloud vendor lock-in and scale globally.
Astra DB includes enterprise-grade security features such as end-to-end encryption, role-based access control (RBAC), and compliance with industry standards like GDPR, SOC 2, and HIPAA. This ensures data privacy and regulatory compliance for sensitive workloads.
Astra DB is used across industries like financial services, healthcare, e-commerce, and gaming, where real-time data processing and AI-driven insights are essential. It supports applications like fraud detection, personalized recommendations, and real-time customer engagement.
