Step-by-step we are getting closer and closer to the official release of ArangoDB 3.5. First of all, we want to send a biiiiig “Thank You!” to all the testers so far and all your feedback! Super helpful for us!

This Release Candidate post is dedicated to the four new features of ArangoSearch which extend the capabilities and provide pretty huge performance improvements, especially for queries including search & sorting.

Probably the most interesting new thing you can do (and the most requested) is to configure analyzers and provide custom stopword-lists among other configuration options for..

This has been a really momentous year so far for us, filled with a lot of accomplishments we’re pretty excited about. We recently added another one to the books: being named to Database Trends and Applications magazine’s “DBTA 100: The Companies That Matter Most in Data” list.

What does this mean? Well for us, it’s just a bit more validation that we’ve been able to help developers around the world reduce complexity and headaches that typically accompany leveraging multiple data models within their applications. We truly believe that developers and their teams are way better off when they..

Ready for some hot new stuff? 🙂

Today we can share Release Candidate 3 of ArangoDB 3.5 with you and have a world premier up our sleeves.

Get the Enterprise edition of ArangoDB 3.5.

With this RC we want to highlight a brand new feature which we called SmartJoins (well, no… this name was actually not born in the marketing department).

SmartJoins allows users to shard multiple collections in a, well, smarter way. Join operations among huge distributed collections can run much more efficiently now and performance gets very close to a single instance. More on SmartJoins and a hands-on tutorial..

After a lot of planning, coding and testing we can finally share the first Release Candidate of ArangoDB 3.5 with you today. You can get it on our Technical Preview Download page: Community & Enterprise.

Protecting personal data is already quite high on (hopefully) all priority lists. Protecting personal healthcare information is even more important. If you are a company or organization in the health services industry and you work with personal patient data, then you have most probably heard about HIPAA compliance. The Health Insurance Portability and Accountability Act (HIPAA) is a law passed in 1996 by US Congress that sets standards and protocols for the protection of patient data in the healthcare industry.

ArangoDB already had quite some nice announcements this year… so we thought we should stick with it.

2018 has been a fantastic year for the ArangoDB project. The community has welcomed many new members, customers, supporters and friends. Together we’ve reached new “heights” – accomplished goals, shipped a big brand-new release and improved ArangoDB on all fronts.

For ArangoDB 3.4 we already added 100,000 lines of code, happily deleted 50,000 lines and changed over 13,000 files until today. We merged countless PRs, invested months of problem solving, hacking, testing, hacking and testing again and are super excited to share the feature complete RC1 of ArangoDB 3.4 with you today.

Download the technical preview package for your OS: RC1 3.4 Community and RC1 3.4 Enterprise.

The team implemented over 40 new features, improvements and optimizations. In this short post, we will highlight just a few of them. You can find a full list in the release notes and..

Firstly, a huge thank you to all our customers that took the time to review ArangoDB for the Gartner Peer Insights “Voice of the Customer”: Operational Database Management Systems Market report. Without your help and assistance, the continued improvements and enhancements we make to our software wouldn’t be possible. We are overwhelmed to be listed as one of six OPDBMS solutions in the Customers’ Choice Zone. We believe this is a remarkable achievement.

We are thrilled to be attending one of Europe’s greatest events – JontheBeach (JOTB), an international rendezvous for developers and DevOps around Big Data technologies. No product talks just deep-tech topics presented by hand-picked speakers from Google, Apache Spark, RedHat, Stripe, Microsoft and many more.