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DataStax Enterprise (DSE)

Scalable Enterprise Apache Cassandra® for AI Applications

Deliver real-time apps and integrate vector database capabilities into your workloads with the scale-out, cloud-native NoSQL database built on Apache Cassandra® and proven by the Fortune 100.

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Empowering On-Prem Deployments with GenAI

Vector Search

With its native vector search capabilities, DSE provides powerful scalability with modern vector database requirements such as GenAI.

Global Scale

Deploy data where you need it with maximum performance, availability and accessibility. Instantly scale services and nodes anywhere in the world.

Deploy Anywhere, Zero Lock-in

Deploy Anywhere, Zero Lock-in

Deploy services anywhere, on any platform, including on-premises, bare-metal, cloud, and Kubernetes.

Operational Simplicity

Operational Simplicity

Reduce the complexity of operations and deployment with cloud-native Kubernetes backed by enterprise-grade security, monitoring, and support.

CDC for Cassandra

CDC for Cassandra

Create real-time data pipelines from DSE to downstream systems in the data ecosystem including search, analytics, and other Cassandra clusters.

Download the scale-out, cloud native NoSQL database built on Cassandra that can be integrated with vector search.

Upgrade from 6.8

As part of a massive digital transformation initiative, Capital One consolidated 450M rows of data from legacy databases to 11M rows, and now processes 21K transactions a second with DataStax Enterprise.

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Capital One

Increase Developer Flexibility and Productivity

Data API

DataStax provides developers with a fast lane to production with the Data API. It removes the need for data modeling, indexes your data, and provides convenient client libraries to integrate into your app or microservice.

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curl -X POST 'http://1.2.3.4:8181/v1/default_keyspace/library' \
-H 'Token: $AUTH_TOKEN' \
-H 'Content-Type: application/json' \
-H 'Accept: application/json' \
-d '{"insertOne":
       {"document":
         { "title": "Managing Cloud Native Data on Kubernetes",
         "author": "Jeff Carpenter and Patrick McFadin",
         "image": "cndb_kubernetes.jpg",
         "publisher": "O''Reilly"}}}'

Resources

WEBINAR

Unlocking the Future of Data Management with DSE 6.9 and HCDP

Delve into the transformative capabilities of DataStax Enterprise 6.9 and the groundbreaking DataStax Hyper-Converged Data Platform.

VIDEO PLAYLIST

Learn How to Use DSE 6.9’s New Features

Create a cluster, leverage storage attached indexes, and build an app.

Whitepaper

Build and Modernize with DataStax Enterprise

Move critical workloads from relational databases to a NoSQL highly-scalable database based on Apache Cassandra.

Empowering On-Prem Deployments with GenAI

Get the scale-out, cloud-native NoSQL database built on Cassandra that can be integrated with vector search.

Download NowTalk to sales

FAQs

What is DataStax Enterprise (DSE), and how does it differ from Apache Cassandra?

DataStax Enterprise (DSE) is a commercial version of open-source Apache Cassandra, designed for large-scale, real-time data applications. It offers advanced features such as enterprise-grade security, vector search for AI workloads, built-in analytics, and Kubernetes support, making it ideal for AI, IoT, and mission-critical applications.

How does DSE support AI and machine learning applications?

DSE integrates with AI frameworks like TensorFlow and PyTorch, providing real-time vector search and data retrieval for AI models. This allows businesses to build AI applications such as predictive analytics, natural language processing, and recommendation systems using large datasets with low latency.

Is DataStax Enterprise suitable for real-time analytics?

Yes, DSE is optimized for real-time analytics, enabling businesses to capture, process, and analyze data as it arrives. Its distributed architecture ensures high availability and low latency, making it ideal for applications like fraud detection, real-time monitoring, and customer engagement.

What are the benefits of using DSE for enterprise applications?

DSE offers features like horizontal scalability, active-everywhere architecture, and enterprise-grade security. It ensures high performance and uptime, even for globally distributed applications, making it suitable for industries like finance, healthcare, and telecommunications.

How does DSE ensure data security and compliance?

DSE includes advanced security features such as encryption, role-based access control (RBAC), and compliance with regulations like GDPR, SOC 2, and HIPAA. This ensures that sensitive data is protected both in transit and at rest.

Can DSE be deployed in both cloud and on-prem environments?

Yes, DSE supports hybrid and multi-cloud deployments, as well as on-premises infrastructure. Its Kubernetes-native architecture enables seamless scaling and automation, providing flexibility for businesses with diverse deployment needs.

How does DSE compare to other NoSQL databases?

Unlike traditional NoSQL databases, DSE offers vector search capabilities, real-time analytics, and AI integration, making it ideal for modern applications that require high-speed data processing and AI-driven insights. Its distributed architecture ensures high availability and scalability.

What industries benefit most from using DataStax Enterprise?

DSE is used by industries such as financial services, healthcare, gaming, and e-commerce, where real-time data processing, AI-driven insights, and scalable infrastructure are essential for delivering personalized customer experiences and optimizing business operations.