Astra DB

NoSQL and Vector DB for GenAI and More

Vector search capabilities enable complex, context-sensitive searches across diverse data formats for use in generative AI applications, powered by Apache Cassandra®.

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Vector Search with Astra DB

Build GenAI Agents using real-time data in Cassandra and Astra

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Benefits

Move from AI Experimentation to AI Production

Build Apps in Any Language

Create real-time applications easily with the Data API and the languages you already love: Python, TypeScript, and Java. Use flexible query patterns to build GenAI apps. See the latest features in Astra Portal and on our revised documentation site.

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GenAI for the Enterprise: Secure, Scalable, Compliant and 5x Cheaper

Scale to petabytes of data for the most demanding AI apps, with world-class performance at a fraction of the cost

Deliver enterprise ready generative AI through enhanced high availability delivered with data replication across regions and availability zones.

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GenAI for the Enterprise: Secure, Scalable, Compliant and 5x Cheaper

Secure and Compliant

AI apps built on DataStax are enterprise ready, built on a proven stack, governed and compliant to the highest standards for PCI, SOC2, HIPAA, ISO 27001 and more.

Integrate with the Tools Your Team is Already Using

Seamless integrations with popular AI tools like Vertex AI, Vercel, GitHub and more.

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Integrate with the Tools Your Team is Already Using

DEVELOPERS

Simplify and Accelerate GenAI App Development

from astrapy import DataAPIClient

# Connect to a database
client = DataAPIClient(TOKEN)
database = client.get_database(API_ENDPOINT)

# Ingest vector documents into your collection
collection = database.test_collection
collection.insert_many(documents=DOCUMENTS)

# Find the most similar vectors
collection.find(vector=[0.15, 0.1, 0.1, 0.35, 0.55])

Data API as the Foundation

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.

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Create and Test Quickly with DataStax Langflow

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.

Astra Starter Pack

Overwhelmed by the maze of tools for building apps? Astra Starter Pack gives you what you need to start building and get into production—fast.

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Vector Search from Any Cloud, with Global Scale and Zero Ops

Discover how to build generative AI apps with the scale and performance you need, without the operational burden, so you can focus on delivering code.

Trusted by AI Leaders in Every Industry

“Priceline has been at the forefront of using machine learning for many years. Vector search gives us the ability to semantically query the billions of real-time signals we receive as part of our checkout experience that flow back to Astra DB. We plan to use Google Cloud’s generative AI capabilities alongside Astra DB’s vector search to power our real time data infrastructure and generative AI experiences."

Martin Brodbeck

CTO, Priceline

“Finding specific policies and operating procedures is time-consuming and challenging due to scattered storage across various platforms. Using Astra DB's vector search capabilities, SkyPoint can leverage these benefits to enhance its services, offering users real-time, contextual, and personalized solutions. This leads to accurate predictions and personalized healthcare outcomes at a lower cost.”

Tisson Mathew

Founder & CEO, SkyPoint AI

“For Dataworkz, having a vector database is important to harness large language models for either question answering systems insights and intelligent summarization. Astra Vector DB is a really great addition for us.”

Nikhil Smotra

Co-Founder and CTO, Dataworkz

“The International Maritime Organization (IMO) has set a goal of cutting carbon emissions by 50% across the global maritime industry by 2050. Our SMARTShip platform is helping make this possible by leveraging DataStax Astra DB for AI-powered, predictive analytics. By transforming thousands of data points from some 40 major equipment systems on a typical ship in real time, our solutions enable vessel operators to optimize fuel costs and other operational parameters while advancing sustainability objectives.”

Praveen Viswanath

Co-founder and Enterprise Architect, Alpha Ori Technologies

"Financial services enterprises are unlocking the value of enriched transactional data with the Bud platform. We depend on DataStax Astra DB for the dynamic scalability and high performance we need to apply machine learning (ML) to real-time data. This means we can provide highly accurate, actionable insights for our clients and their customers."

Michael Cullum

VP of Engineering, Bud

Astra DB Reviews

More Astra DB Resources

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Securely Connecting to Astra DB with AWS

Astra DB integrates seamlessly with AWS PrivateLink to provide a secure and private networking experience for our customers.

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Report

DataStax Named a Forrester Leader in Vector Databases

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.

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WHITEPAPER

Why Do You Need Hybrid Database Management?

A hybrid database system enables organizations to manage both structured and unstructured data across on-premises and cloud environments, providing greater flexibility and scalability.

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Get Started with Astra DB

Vector search capabilities make Astra DB AI-ready by enabling complex, context-sensitive searches across diverse data formats for use in generative AI applications.

Get a Demo