IBM to Acquire DataStax, Accelerating Production AI & NoSQL Data at Scale

Astra DB

Managed Apache Cassandra® DBaaS for AI Apps

Eliminate operational overhead and lower TCO while building with an intuitive Data API and vector search for generative AI applications.

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Less Complexity, Lower TCO, More Innovation

Secure, Scalable, Compliant, and 5x Cheaper

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.

Migrate with Confidence

Zero-downtime migration tools mitigate risk as you move to Astra DB. A phased migration approach enables rollback at any time. Cutover when confident.

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Automate Operations

Operational overhead shrinks dramatically with automated backup, restore, and cloning. Multi-region deployment and pay-as-you-go pricing support mission-critical production workloads.

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Integrate with Developer Tools

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.

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Vector Search: Build AI Agents using real-time data in Astra DB and Cassandra

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Simplify and Accelerate GenAI App Development

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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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Astra DBd

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.

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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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Astra DB Reviews

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Priceline leverages real-time data infrastructure and generative AI to build highly personalized experiences for customers, combining AI with real-time vector search.

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More Astra DB Resources

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.

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.

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

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FAQs

What is Astra DB, and how does it support AI applications?

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.

How does Astra DB’s vector search improve AI performance?

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.

Is Astra DB suitable for real-time analytics and data streaming?

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.

How does Astra DB compare to traditional NoSQL databases?

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.

Can I use Astra DB for multi-cloud deployments?

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.

What programming languages and frameworks does Astra DB support?

Astra DB supports popular programming languages like Python, Java, and Node.js, as well as frameworks like Langflow, TensorFlow, and PyTorch. Its REST and GraphQL APIs make integration easy for developers building AI and data-driven applications.

How secure is Astra DB for enterprise applications?

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.

What industries benefit most from using Astra DB?

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.