Performance Archives - ArangoDB

ArangoDB 3.7 – A Big Step Forward for Multi-Model

Julie Ferrario — Thu, 27 Aug 2020 12:00:00 +0000

When our founders realized that data models can be features, we at ArangoDB set ourselves the big goal of developing the most flexible database. With today’s GA release of ArangoDB 3.7, the project reached an important milestone on this journey. Watch the the ArangoDB 3.7 Release Webinar. Graph & Beyond – An Important Milestone for…

The post ArangoDB 3.7 – A Big Step Forward for Multi-Model appeared first on ArangoDB.

Do Graph Databases Scale? Yes? No? Let’s see!

Julie Ferrario — Mon, 13 Jul 2020 14:24:13 +0000

Graph Databases are a great solution for many modern use cases: Fraud Detection, Knowledge Graphs, Asset Management, Recommendation Engines, IoT, Permission Management … you name it.

But the nature of graph data poses challenges when it comes to *buzzword alert* scalability. So why is this, and are graph databases capable of scaling? Let’s see...

The post Do Graph Databases Scale? Yes? No? Let’s see! appeared first on ArangoDB.

AWS Neptune: A New Vertex in the Graph World — But Where’s the Edge?

Frank Celler — Wed, 06 Dec 2017 14:31:03 +0000

At AWS Re:Invent just a few days ago, Andy Jassy, the CEO of AWS, unveiled their newest database product offerings: AWS Neptune. It’s a fully managed, graph database which is capable of storing RDF and property graphs. It allows developers access to data via SPARQL or java-based TinkerPop Gremlin. As versatile and as good as…

The post AWS Neptune: A New Vertex in the Graph World — But Where’s the Edge? appeared first on ArangoDB.

Performance analysis with pyArango: Part III Measuring possible capacity with usage Scenarios

Willi Goesgens — Thu, 26 Oct 2017 10:40:29 +0000

So you measured and tuned your system like described in the Part I and Part II of these blog post series. Now you want to get some figures how many end users your system will be able to serve. Therefore you define “scenarios” which will be typical for what your users do. One such a…

The post Performance analysis with pyArango: Part III Measuring possible capacity with usage Scenarios appeared first on ArangoDB.

AQL Optimizer Improvements in ArangoDB 2.8

Jan Steemann — Wed, 20 Jan 2016 17:34:09 +0000

With the 2.8 beta phase coming to an end it’s time to shed some light on the improvements in the 2.8 AQL optimizer. This blog post summarizes a few of them, focusing on the query optimizer. There’ll be a follow-up post that will explain dedicated new AQL features soon. Array indexes 2.8 allows creating hash…

The post AQL Optimizer Improvements in ArangoDB 2.8 appeared first on ArangoDB.

AQL Function Speedups: ArangoDB 2.8 Enhancements

Jan Steemann — Fri, 04 Dec 2015 16:39:17 +0000

While working on the upcoming ArangoDB 2.8, we have reimplemented some AQL functions in C++ for improved performance. AQL queries using these functions may benefit from using the new implementation of the function. The following list shows the AQL functions for which a C++ implementation has been added in 2.8. The other C++-based AQL function…

The post AQL Function Speedups: ArangoDB 2.8 Enhancements appeared first on ArangoDB.

Using Multiple Indexes per Collection in ArangoDB

Jan Steemann — Tue, 01 Dec 2015 13:48:10 +0000

The query optimizer in ArangoDB 2.8 has been improved in terms of how it can make use of indexes. In previous versions of ArangoDB, the query optimizer could use only one index per collection used in an AQL query. When using a logical OR in a FILTER condition, the optimizer did not use any index…

The post Using Multiple Indexes per Collection in ArangoDB appeared first on ArangoDB.

Index Speedups in ArangoDB 2.8: Enhancements

Jan Steemann — Fri, 27 Nov 2015 12:52:15 +0000

The upcoming 2.8 version of ArangoDB will provide several improvements in the area of index usage and query optimization. First of all, hash and skiplist indexes can now index individual array values. A dedicated post on this will follow shortly. Second, the query optimizer can make use multiple indexes per collection for queries with OR-combined…

The post Index Speedups in ArangoDB 2.8: Enhancements appeared first on ArangoDB.

Benchmark: PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB

admin — Tue, 13 Oct 2015 13:02:13 +0000

The latest edition of the NoSQL Performance Benchmark (2018) has been released. In this blog post – which is a roundup of the performance blog series – I want to complete the picture of our NoSQL performance test and include some of the supportive feedback from the community. First of all, thanks for all your…

The post Benchmark: PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB appeared first on ArangoDB.

Throughput Enhancements: Boosting ArangoDB Performance

Jan Steemann — Tue, 11 Aug 2015 09:20:22 +0000

We’ve recently been working on improving ArangoDB’s throughput, especially when using the ArangoDB’s interface. In this post, I will show some of the improvements already achieved, though the work is not yet finished. Therefore, the results shown here are still somewhat preliminary. We wanted to measure improvements for ArangoDB’s HTTP interface, and so we used…

The post Throughput Enhancements: Boosting ArangoDB Performance appeared first on ArangoDB.