E.g., 12/13/2018
E.g., 12/13/2018
Aug 15, 2018 • By: Volkan Civelek

In this article, Volkan Civelek examines the pros and cons of using public cloud database services, the case for using DataStax Enterprise as a data layer across multiple clouds, and advice on running DSE in Kubernetes.

Aug 13, 2018 • By: Jeff Carpenter

We've recently renamed our Technical Evangelist team at DataStax. Read this post to find out why and what it means for you.

Jul 25, 2018 • By: Alex Ott

Apache Cassandra is a very mature project and there is a lot of information about it on the Internet. However, the information is scattered between different places, and sometimes it's hard to find actual sources of information. This short blog post will help you find the best information.

Jul 18, 2018 • By: Gilbert Lau, Scott Hendrickson

DataStax has been partnering with Pivotal to provide a real-time data platforms at cloud-scale for customers building customer 360 real-time applications and large-scale microservices on the Pivotal Cloud Foundry (PCF) application platform. We have been proactively working with Pivotal to explore our next generation integration with Pivotal Container Service (PKS). To this end, we have developed a set of Kubernetes yaml files which deploy DataStax Enterprise inside a Kubernetes cluster managed by PKS and building our next generation broker integration via their new service broker called Kibosh. This post will provide background on why Datastax created a tool to help you manage your containerized DSE environment on PKS and a guide to getting this setup in your PKS environment.

Jun 06, 2018 • By: Christopher Splinter

If you want more performant graph traversals, upgrade to DSE 5.1.10 or DSE 6.0.1. In this post, we take a deeper look at the improvement.

May 23, 2018

We've recently released the Node.js Fluent API for interacting with DSE Graph using Apache TinkerPop™ Gremlin-JavaScript.

Let's see how this new library can help you write Gremlin traversals from your JavaScript code.

Mar 06, 2018 • By: Stephen Mallette

Gremlin-based Domain Specific Languages (DSLs) provide a powerful way to develop graph applications and to perform graph analysis. This post continues the "Gremlin DSL" series by discussing a pattern for forming Gremlin results and demonstrating that pattern's implementation with Gremlin .NET.