Highly Available and Scalable Distributed Database

Apache Cassandra™ is a distributed database that delivers the high availability, performance, and linear scalability that today’s most demanding applications require. It is the database of choice for high growth applications that span across cloud service providers, data centers, and geographies. The Apache Cassandra ecosystem delivers the integrations, management, and developer tooling you expect from the leading scale out NoSQL database.

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DataStax Commitment to Open Source Cassandra

From its inception, Cassandra has been the premier distributed database on the market, and here at DataStax, we remain committed to continuing that legacy. DataStax offers production-certified Cassandra distributions plus 24x7x365 expert support to ensure all Cassandra users can make the most of this powerful database.

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#1 OSS Committer

DataStax has contributed a majority of the open-source Cassandra code commits and we are one of the driving forces behind Apache Cassandra 4.0.

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Apache Cassandra Experts

DataStax solutions are developed and updated from the open-source Cassandra project, and the DataStax team has been an integral part of the Cassandra project since its inception.

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Open Source Leadership

DataStax provides open-source leadership in other database-related projects (like Apache TinkerPop™) as part of our commitment to open source.

Apache Cassandra Support

DataStax Luna provides subscription-based support for open source Cassandra to help ensure you meet required service levels while providing your team with the confidence they need to deploy and run their applications.

  • Get support directly from the distributed database experts who authored a majority of the Cassandra code, drivers, and tools.
  • Choose the right level of support for your budget as well as your technical and business needs then easily scale through the self-service portal.
  • Get started in minutes through a simple process that lets you begin coverage directly through our website.
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"High availability is extremely important to us and our users, and that was the first thing that caught our eye with Apache Cassandra and DataStax. High availability with reliable performance is a big win for us."

Daniel Chia

Software Engineer, Coursera
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CNCF, Apache Cassandra, Kubernetes, and Prometheus with Luc Perkins

In this episode Adron Hall speaks with Luc Perkins about his work at the CNCF, Kubernetes, and where projects are heading and what projects they're working on. Adron also speaks with Luc about docs, projects he's been seeing that are really interesting, skeleton code for projects, and lot's of other topics. Highlights! 0:14 Introducing Luc Perkins. 0:58 Talking CNCF, Kubernetes, Containers, and the cloud native paradigm. 1:27 Introduction to the presentation at hand with Prometheus and it's status as a graduated project within the CNCF. 1:50 What has Luc been working on that he's found interesting. 2:16 Developer Advocate, a somewhat nebulas title. Presentations, documentation, conference organizing, graphic design, and sometimes - yes, indeed - contributing code! 3:03 Learn what is the most sought after demand from open source teams for help! 3:50 Skaffolding and related interesting technology discussion and why you might want to check it out too. 5:48 Adron describeds why we need to get back to writing code and stop fiddling with Kubernetes. Then discusses with Luc how Brendan Burns, Kelsey Hightower, and others in the community have said the same and are pushing for solutions. 6:38 Luc weighs in on where and why the developer story is still somewhat lacking, and why. 7:10 More details on Skaffold, the yaml, and the respective service. 9:38 Which of the container technologies does Luc use these days. 10:28 One CNCF project that's interesting, Luc talks about - in the sandbox - is Harbor, a kind of Docker hub. 12:10 What will happen the next couple of years? How can we develop more reliably with questionable connections, disparate and problematic dependency repositories, and the like? For example, what about that NPM issue as of late? Luc and Adron discuss. 13:40 What is the direction the CNCF has been moving to simplify and enhance the local development story? 15:32 Luc describes a secret about the meetup, and more on Kubernetes developer story. 17:55 Stepping into the topic of a complex distributed system (Cassandra) running inside a complex distributed systems (Kubernetes). 19:58 KubeCon is coming up in Seattle in December. A few extra details, and a mention about the Shanghai KubeCon!

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T-mobile Runs on DataStax for Their Apache Cassandra™ Enterprise Support

Josh Turner, Principal Engineer Distributed Data Systems, SDE at T-Mobile, shares his thoughts on DataStax Accelerate, how working with Apache Cassandra has benefited his organization, and more.

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5 Steps to an Awesome Apache Cassandra™ Data Model

"As more customers adopt digital channels over traditional brick and mortar stores and call center channels, there is a need to handle high traffic volume fluctuations, and ability to scale dynamically in a cost-efficient way. This is a common challenge faced across the industry. Verizon solved this challenge for its wireless OSS/BSS stack using DSE Cassandra and Spark. DSE enabled Verizon to transform its OSS/BSS platform from a legacy mainframe-based monolithic stack to a highly scalable cloud-enabled stack. This new platform enables better customer experience through high availability and scalability. Verizon was the only major wireless provider that was able to handle the Apple iPhone pre-order volume spike, and was available to take customer orders at 3 a.m. ET when the floodgates were opened. DSE migration addresses the economic scalability and low latency needs of 5G and IoT. In addition to the enhanced customer experience, the DSE migration eliminated 90% of operations cost. Migration of a large-scale application presents unique challenges that are not encountered in green field development. This presentation focuses on the challenges faced in adopting Cassandra for transactional data that is migrated from traditional RDBMS/mainframe. The presentation will cover details on the data model, data ingestion, and data reconciliation techniques that enables digital transformation."

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Apache Cassandra™ Architecture

The data management needs of the average large organization have changed dramatically over the last ten years, requiring data architects, operators, designers, and developers to rethink the databases they use as their foundation. The proliferation of large-scale, globally distributed data led to the birth of Apache Cassandra™, one of the world’s most powerful and now most popular NoSQL databases. Read this white paper to learn how Cassandra was born, how it’s evolved, how it operates, and what DataStax Distribution of Apache Cassandra™ adds to the equation.

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Advanced Database Capabilities

DataStax Enterprise (DSE) goes far beyond Apache Cassandra capabilities with double the horsepower, operational simplicity, and advanced security.

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DSE Advanced Performance

DSE includes twice the horsepower of Apache Cassandra, delivering twice the throughput to handle twice the workloads with the same hardware. Plus DataStax Bulk Loader makes loading and unloading data a snap.

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DSE NodeSync

A major challenge of Apache Cassandra is operational management. Repairing nodes for synchronization is an intensely manual process that requires the right expertise. DSE NodeSync removes that pain, eliminating 90% of such manual operations. So even novice DBAs and DevOps professionals can run DSE like seasoned professionals.

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DSE Advanced Security

Apache Cassandra includes only basic security such as login and password. DSE adds comprehensive, enterprise-grade security, including authentication, authorization, transparent data encryption, JDBC drivers with built-in security, and auditing by user or profile.