Thomas Schmidts, Author at ArangoDB

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ArangoDB Weekly #31 | Official Docker Repo & new Release 2.6.3


ArangoDB is now an Official Repo in the Docker Hub, one of just four additions in the last 2 months. Please try and tell your friends! ArangoDB 2.6 is known as a performance release and we’ve continued to improve the core by killing locks and optimizing code. Looks like we can show some impressive performance boosts soon. Furthermore, Mike Williamson wrote a blog post on modeling data with ArangoDB last week, that is worth to read.

Follow ArangoDB on LinkedIn and add ArangoDB as a skill. We would appreciate your help. Keep an eye on our blog or follow us on Twitter for news about ArangoDB.

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ArangoDB Weekly #30 | New performance results & O’Reilly article


Maybe you’ve noticed that there was no ArangoDB newsletter last week. So here’s the news of the last two weeks and the announcement that during the summer our NL will be biweekly. 🙂

In the meantime we’ve improved the performance of the shortest path implementation significantly and rerun the Multi-Model performance tests. The article Data modeling with multi-model databases – a use case for multi-model databases – was a huge success on O’Reilly Radar last week, it had the most page views of all Radar articles. It’s worth to read.

Finally, Mesosphere launched it’s SDK and developer program and we are proud to be one of the first partners that integrate into DCOS. Stay tuned, there will be more to come.

Keep an eye on our blog or follow us on Twitter for news about ArangoDB.

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ArangoDB Weekly #29 | new Release 2.6.1, updated Benchmark


This week we published a 2.6.1 maintenance release. A few weeks ago we published a performance comparison. Since it has raised a lost of interest and the discussions around it have led to improvements in all products we’ve updated the benchmark comparison .
In addition we’ve also released a performance comparison between ArangoDB 2.5 and 2.6.
Stay tuned and follow @arangodb for more news.

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Meet Patrick, ArangoDB User and Community Contributor


In April 2015, Thomas Pfeiffer, a user experience researcher and active open-source contributor, did an interview with one very active member of the ArangoDB community – J Patrick Davenport from Palatka, FL, USA. The aim was to get an idea about the open-source project ArangoDB as a whole and the development process so far – from the perspective of a developer. This interview first appeared in Thomas Pfeiffer sessellift blog on April 27th.

Thomas: Hi Patrick, to start off, could you tell me a little about yourself (your background, the job in which you’re using ArangoDB, …)?

Patrick: About me: I’m a Solutions Architect, working for my own company, DeusDat Solutions. I’ve been working over 8 years as a software Bob Villa (This Old House, American Reference). My clients call me in to renovate code bases that are near collapse. I’ve improved multiple Fortune 500 company’s core business applications. Recently I designed half to the Medicare Fraud Detection System for the US Government. That was based on Hadoop.

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New Release ArangoDB 2.6


We are proud to announce the latest release of ArangoDB with lot’s of improvements and many new features. ArangoDB 2.6 is available for download for many different operating systems. In the new release the focus is on performance improvements. For instance sorting on a string attribute is up to 3 times faster. There are also improvements in the shortest-path implementation and other graph related AQL queries.

Look at some of our previous blogposts like: Reusable Foxx Apps with Configurations, Document your Foxx Apps with Swagger 2 or the Improved System User Authentication to learn more about ArangoDB 2.6 and check the manual for a deeper dive into specific features.

Claudius, CEO: “The performance improvements in every area of ArangoDB 2.6 make ArangoDB an effective alternative to other databases. I am very proud of the product and the team, and we can expect much more in the next few months.”

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Learn More About Graph Databases

Read our latest Graph and Beyond  white paper to gain insights into how ArangoDB graph databases can support many use cases.
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