ArangoDB 3.5 RC1: Graph Database Improvements with PRUNE & k Shortest Paths

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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: Tech Preview Community & Tech Preview Enterprise.

With this RC, we want to highlight two new features for all graph database enthusiasts: the new PRUNE Keyword & k Shortest Path Feature. As always, please note Release Candidates are for testing purposes only and should not be used in production. Please see limitations of RC1 at the bottom of the page! Read more

What Makes ArangoDB a Graph Database?

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When looking for a solution for your project, it is important to understand what makes each technology unique, what sets it apart. With ArangoDB that is its native multi-model approach including full graph database capabilities and I am going to explain the fundamental pieces of what that means. Read more

Building HIPAA Compliant Applications With ArangoDB

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ArangoDB HIPAA compliantProtecting 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.

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Early Bird Sign-up Open for ArangoDB Managed Service

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

Today, we are pleased to announce the managed service for ArangoDB, and with it, early sign-ups are open.

Many asked us for a service that would relieve you from hosting, managing and monitoring ArangoDB deployments. We already made deployment very easy with the ArangoDB Starter or the Kubernetes Operator but… you know, having not even to think about it is even better 🙂 Read more

Steps to reduce ArangoDB’s resource footprint

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This is an update of the 2016 blog post How to put ArangoDB to Spartan-Mode.

A lot of things have changed in the last years. We moved our API implementation from JavaScript to C++. ArangoDB now has a new (default) storage engine, namely RocksDB instead of MMFiles. RocksDB is a great storage engine. However, it also trades memory for speed. If you start with the default configuration you might end up with using much more memory for ArangoDB than expected. Read more

ArangoDB receives Series A Funding led by Bow Capital

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Phew, it’s been quite a ride, but today the whole team is super excited to announce a $10 million Series A funding for ArangoDB, our native multi-model database.

We feel honored and frankly a bit proud that Bow Capital is leading this investment round and shows their trust in our product, team, and amazing community. Vivek, Suraj and team – it is an absolute pleasure teaming up with you! Getting the chance to learn from the leaders guiding TIBCO to its remarkable success is an absolute privilege. Read more

Sort-Limit Optimization in AQL

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Sometimes we want sorted output from a query and, for whatever reason, cannot use an index to do the sorting. In ArangoDB, we already cover this critical case with finely tuned query execution code. Sometimes though, we do not need to return all output, and follow our SORT clause with LIMIT. In ArangoDB 3.4 and earlier, we did not handle this case any differently from returning the full data, at least with respect to sorting – we would sort the full input, then apply the limit afterwards.

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Building a Mini Database Cluster for Fun – LEGO Edition

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Mini PC Database Cluster for Fun Lego

ArangoDB is a native multi-model database that could be deployed as a single database, in active failover mode or as a full blown database cluster in the cloud. To try things out I can even run a cluster on my local development machine.

Well, yes… but I wanted to be more real, 24×7, with the opportunity to manipulate all the things…

Inspired by other Raspberry PI & mini-cluster projects, I thought I could build my own, bare metal, desk compatible Mini PC database cluster.

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