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RC4 of ArangoDB 3.5: Configurable Analyzers & other ArangoSearch Upgrades

Estimated reading time: 4 minutes

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..

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ArangoDB Included in DBTA 100: The Companies That Matter Most in Data

Estimated reading time: 2 minutes

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..

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RC3 ArangoDB 3.5: SmartJoins & Index Hints

Estimated reading time: 3 minutes

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..

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

Estimated reading time: 3 minutes

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.

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What Makes ArangoDB a Graph Database?

Estimated reading time: 5 minutes

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.

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Building HIPAA Compliant Applications With ArangoDB

Estimated reading time: 3 minutes

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.

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Early Bird Sign-up Open for ArangoDB Managed Service

Estimated reading time: 2 minutes

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

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Steps to reduce ArangoDB’s resource footprint

Estimated reading time: 9 minutes

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

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ArangoDB receives Series A Funding led by Bow Capital

Estimated reading time: 4 minutes

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.

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Sort-Limit Optimization in AQL

Estimated reading time: 4 minutes

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 .

In many cases though, it is possible to maintain just a reduced set of data in memory,..

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