DataStax Enterprise Graph
A distributed cassandra graph database optimized for enterprise applications - zero downtime, fast traversals at scale, and real-time analysis of complex, related datasets.
Discover the Relationships Between Your Data
Optimized for storing billions of items and their relationships, DSE Graph incorporates all the enterprise-class capabilities of DataStax Enterprise, including continuous availability, linear scalability, advanced security, analytics and full-text search, visual management, visual monitoring and a tools suite for developers.
In short, DSE Graph enables you to identify and analyze hidden relationships between connected data and build powerful modern applications.
Graph Powered Insights
Fully integrated real-time search and analytics that allow you to derive powerful insights from graph data.
Graph Your Way
True multi-model platform—real-time Gremlin query language or CQL and offline Apache Spark allow you to create graph applications easily.
Graph Available Always
Proven distributed graph platform provides continuous availability and unmatched scalability spanning multiple data centers.
"MissionGraph™ is a powerful and innovative open-architecture platform for making sense of messy data landscapes and finding unknown connections among an enterprise’s entities. Key to our architecture are DataStax Enterprise and DataStax Enterprise Graph which enable us to fuse two of the most powerful technologies for handling the disparate forms of information we analyze. With them, we deliver contextual, distributed, always-on data management and cutting-edge analysis at scale for our clients’ most critical business questions."
Vice President of Product, Marketing and Sales, Deloitte
Graph Developers
DataStax has many offerings for the graph developer community.
We have programs, tools, and initiatives you can explore including our online education platform DataStax Academy, our work with the Apache Software Foundation and the Apache TinkerPop™ project, graph developer tools like DataStax Studio, and DataStax Developer community initiatives you can subscribe to and check out: bootcamps, meetups, podcasts, and more.
The Gremlin Graph Traversal Machine and Language
TinkerPop is an open-source graph computing framework for graph databases and graph analytic systems. It is centered around the Gremlin graph query language, which provides users the ability to express complex graph traversals over their property graphs for both real-time (OLTP) and analytic (OLAP) workloads. Gremlin has support for a variety of programming languages, including Java, Groovy, .NET, JavaScript, and Python, giving users the comfort of working with graphs in their native programming language.
The Practitioner’s Guide to Graph Data
Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll learn to:
- Build an example application architecture with relational and graph technologies
- Use graph technology to build a Customer 360 application, the most popular graph data pattern today
- Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data
- Find paths in graph data and learn why your trust in different paths motivates and informs your preferences
- Use collaborative filtering to design a Netflix-inspired recommendation system
Resources
DataStax Accelerate Guide for Graph Data Designers and Developers
In our increasingly data-driven world, organizations have more data to manage than...
Get the Technical Guide
Three Common Mistakes When Building Graph Applications
At DataStax, we help customers build some of the largest production applications on graph...
Get the BlogREADY TO TRY DATASTAX?
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