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ArangoDB 2.6.3 maintenance release

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A maintenance release of ArangoDB is available, we have fixed an issue with NULL bytes inside attribute values (#1409) that occurs when fetching a document via REST API.

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Introducing RETURN DISTINCT for AQL queries

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Last week saw the addition of the RETURN DISTINCT for AQL queries. This is a new shortcut syntax for making result sets unique.

For this purpose it can be used as an easier-to-memorize alternative for the already existing COLLECT statement. COLLECT is very flexible and can be used for multiple purposes, but it is syntactic overkill for making a result-set unique.

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ArangoDB nightly Travis builds

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Great news for driver maintainers that want access to the latest developments in ArangoDB. Many of you have asked us if we can provide a nightly build of our ArangoDB database to improve CI test automation using Travis-CI. The Travis builds for ArangoDB 2.6, 2.7 and devel will be generated and published shortly after midnight (GMT).

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

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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..

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ES6 Features TurboFan, Strong-mode and REST Parameters come with new V8 Upgrade

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ArangoDB 2.6 uses V8 engine version 3.31.74.1 for running its own and all user-defined JavaScript code. In ArangoDB 2.7 (currently in development), we have upgraded V8 to version 4.3.61.

The new V8 version in ArangoDB 2.7 provides several additional ES6 Harmony features that can be used to improve JavaScript usability and code quality. This blog post showcases strong mode and rest parameters, and also shows how to activate TurboFan, V8’s new JIT compiler for JavaScript.

ArangoDB 2.7 is in development right now, but it can be tried today by compiling it from source.

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Multi-model benchmark round 1 – completed

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The latest edition of the NoSQL Performance Benchmark (2018) has been released. Please click here

It’s time for another update of my NoSQL performance blog series. This hopefully concludes the first part of this series with the initial databases ArangoDB, MongoDB, Neo4J and OrientDB and I can now start to check out other databases. I’m getting a lot of requests to test others as well and I’ll try to add them as soon as possible. Pull requests to my repository are also more than welcome. Remember it is all open-source.

The first set of benchmarks was started as a proof that multi-model can..

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Data Modeling with Multi-Model Databases

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Max published an article on O’Reilly Radar about the use case he presented on Strata+Hadoop World in London earlier this year.

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ArangoDB 2.6.2 | Maintenance Release

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ArangoDB 2.6.2 maintenance release available – ArangoDB download

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ArangoDB Weekly #29 | new Release 2.6.1, updated Benchmark

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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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The great AQL shootout: ArangoDB 2.5 vs 2.6

Estimated reading time: 7 minutes

For the ArangoDB 2.6 release from last week we’ve put some performance tests together. The tests will compare the AQL query execution times in 2.5 and 2.6.

The results look quite promising: 2.6 outperformed 2.5 for all tested queries, mostly by factors of 2 to 5. A few dedicated AQL features in the tests got boosted even more, resulting in query execution time reductions of 90 % and more. Finally, the tests also revealed a dedicated case for which 2.6 provides a several hundredfold speedup.

Also good news is that not a single of the test queries ran slower in 2.6 than in 2.5.

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