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Index types and how indexes are used in ArangoDB: Part II
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…
How We Wronged Neo4j & PostgreSQL: Update of ArangoDB Benchmark 2018
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…
Index types and how indexes are used in ArangoDB: Part I
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…
NoSQL Performance Benchmark 2018 – MongoDB, PostgreSQL, OrientDB, Neo4j and ArangoDB
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…
Performance Impact of Meltdown and Spectre V1 Patches on ArangoDB
To investigate the impact of the Meltdown and Spectre patches on the performance of ArangoDB, we ran benchmark tests with the two storage engines available in ArangoDB (MMFiles & RocksDB). We used the arangobench benchmark and test tool for these tests. The tests include 10 different test cases with changing test parameters like concurrency, batch…
Using the WebUI AQL Editor – Basics
The ArangoDB query language (AQL) can be used to retrieve and modify data that is stored in ArangoDB. The AQL editor in the web interface is useful for running ad hoc AQL queries and trying things out. The editor is split into three parts. The center section allows you to write your query and modify…
Milestone ArangoDB 3.4:
ArangoSearch – Information retrieval with ArangoDB
For the upcoming ArangoDB 3.4 release we’ve implemented a set of information retrieval features exposed via new database object `View`. The `View` object is meant to be treated as another data source accessible via AQL and the concept itself is pretty similar to a classical “materialized” view in SQL. While we are still working on…
An Introduction to Geo Indexes and their performance characteristics: Part II
Geo Index Implementation This section will cover the MMFiles based geo-index. The algorithm is optimized for in-memory accesses and optimal CPU cache utilization. The main goal for our geo queries is to reject as many distant possible result points as fast as possible.
ArangoJS 6.0.0 released: Load Balancing, Automated Failover and completely written in TypeScript
Version 6.0.0 of the JavaScript driver arangojs is now available (Find it on GitHub). This is a major release that introduces a small number of breaking changes so make sure to check out the arangojs changelog before upgrading. The most significant additions in this release are support for load balancing and automated failover as well as improved browser…
Present and Future of ArangoDB Fulltext Index
The ArangoDB Fulltext index allows you to search for text in arbitrary strings. It is a great way to implement things like autocompletion, product searches or many other use-cases which need some form of fulltext search. The Fulltext Index is suitable for you if your use-case can be broken down to:
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