Performance Archives - ArangoDB

Steps to reduce ArangoDB’s resource footprint

Willi Goesgens — Thu, 21 Mar 2019 15:08:16 +0000

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…

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Run multiple versions of ArangoDB in parallel using the .tar.gz distribution

Max Neunhöffer — Fri, 18 Jan 2019 10:06:41 +0000

This post uses the new `.tar.gz` binary distribution of ArangoDB to run multiple versions of ArangoDB alongside each other on the same machines. We will do a production-ready deployment on 3 cloud instances with authentication, TLS encryption, (self-signed) certificates and `systemd` service. In the end, we show how to perform a rolling upgrade for one…

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Using The Linux Kernel and Cgroups to Simulate Starvation

Willi Goesgens — Fri, 11 Jan 2019 12:52:21 +0000

When using a database like ArangoDB it is also important to explore how it behaves once it reaches system bottlenecks, or which KPIs (Key Performance Indicators) it can achieve in your benchmarks under certain limitations. One can achieve this by torturing the system by effectively saturating the resources using random processes. This however will drown…

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Gartner Report: Top-Rated Operational Database Management Systems

Julie Ferrario — Tue, 28 Aug 2018 12:36:24 +0000

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…

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Speeding Up Dump Restore in ArangoDB: Enhanced Data Recovery

Jan Steemann — Thu, 07 Jun 2018 17:03:15 +0000

Many ArangoDB users rely on our `arangodump` and `arangorestore` tools as an integral part of their backup and recovery procedures. As such, we want to make the use of these tools, especially `arangodump`, as fast as possible. We’ve been working hard toward this goal in preparation for the upcoming 3.4 release. We’ve made a number…

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An implementation of phase-fair reader/writer locks

Jan Steemann — Thu, 03 May 2018 14:33:27 +0000

We were in search for some C++ reader/writer locks implementation that allows a thread to acquire a lock and then optionally pass it on to another thread. The C++11 and C++14 standard library lock implementations std::mutex and shared_mutex do not allow that (it would be undefined behaviour – by the way, it’s also undefined behaviour…

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Index types and how indexes are used in ArangoDB: Part II

Jan Steemann — Thu, 01 Mar 2018 12:29:23 +0000

In the first part of this article we dived deep into what indexes are currently available in ArangoDB (3.2 and 3.3), also briefly looking at what improvements are coming with ArangoDB 3.4. Read Part I here. In this Part II, we are going to focus on how to actually add indexes to a data model…

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How We Wronged Neo4j & PostgreSQL: Update of ArangoDB Benchmark 2018

admin — Tue, 27 Feb 2018 10:36:12 +0000

Recently, we published the latest findings of our Performance Benchmark 2018 including Neo4j, PostgGreSQL, MongoDB, OrientDB and, of course, ArangoDB. We tested bread & butter tasks in a client/server setup for all databases like single read/write and aggregation, but also things like shortest path queries which are a speciality for graph databases. Our goal was…

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Index types and how indexes are used in ArangoDB: Part I

Jan Steemann — Thu, 22 Feb 2018 15:39:02 +0000

As in other database systems, indexes can be used in ArangoDB to speed up data retrieval queries, sometimes by many orders of magnitude. Getting the indexes set up the right way is essential for good query performance, so this is an important topic that affects most ArangoDB installations. This is Part I of how indexes…

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NoSQL Performance Benchmark 2018 – MongoDB, PostgreSQL, OrientDB, Neo4j and ArangoDB

admin — Wed, 14 Feb 2018 10:51:12 +0000

ArangoDB, as a native multi-model database, competes with many single-model storage technologies. When we started the ArangoDB project, one of the key design goals was and still is to at least be competitive with the leading single-model vendors on their home turf. Only then does a native multi-model database make sense. To prove that we…

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