ArangoDB 3.3 GA
DC2DC Replication, Encrypted backup, Server-Level Replication and more

00General, ReleasesTags:

Just in time for the holidays we have a nice present for you all – ArangoDB 3.3. This release focuses on replication, resilience, stability and thus on general readiness for your production small and very large use cases. There are improvements for the community as well as for the Enterprise Edition. We sincerely hope to have found the right balance between them.

In the Community Edition there are:

  • Easier server-level replication
  • A resilient active/passive mode for single server instances with automatic failover
  • RocksDB throttling for increased guaranteed write performance
  • Faster collection and shard creation in the cluster
  • Lots of bug fixes (most of them have been backported to 3.2)

In the Enterprise Edition there are:

  • Datacenter to datacenter replication for clusters
  • Encrypted backup and restore

Read more

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

04General

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 this may sound, one has to wonder if another graph database will solve a key problem in modern application development and give Amazon an edge over its competition.

Neptune Confirms Value of Graph Databases

AWS entering the graph sphere is basically a good thing. It validates that graph databases are useful. They continue to gain more and more traction in many industries. Analyzing relationships and finding patterns in highly connected data is becoming more important — and fun.

Furthermore, it puts more pressure on graph database vendors to devise fully managed services and stay ahead regarding features. Otherwise, they will become irrelevant. Overall, we can expect even better products in the graph space, which is a very good thing.

Before saying more about Neptune and how good it may or may not be, let’s take a moment to consider graph databases and related queries. To appreciate Neptune, you need to understand the advantages, the power of graphs, its attraction. Read More

ArangoDB 3.3 Beta Release

01General, ReleasesTags:

It is all about improving replication. ArangoDB 3.3 comes with two new exciting features: data-center to data-center replication for clusters and a much improved active-passive mode for single-servers. ArangoDB 3.3 focuses on replications and improvements in this area and provides a much better user-experience when setting up a resilient single-servers with automatic failover.

This beta release is feature complete and contains stability improvements with regards to the recent milestone 1 and 2 of ArangoDB 3.3. However, it is not meant for production use, yet. We will provide ArangoDB 3.3 GA after extensive internal and external testing of this beta release. Read More

Setting up Datacenter to Datacenter Replication in ArangoDB

00Architecture, cluster, General, how to, Releases, ReplicationTags: , ,

Please note that this tutorial is valid for the ArangoDB 3.3 milestone 1 version of DC to DC replication!

This milestone release contains data-center to data-center replication as an enterprise feature. The is a preview of the upcoming 3.3 release and is not considered production ready.

In order to prepare for a major disaster, you can setup a backup data center that will take over operations if the primary data center goes down. For a server failure, the resilience features of ArangoDB can be used. Data center to data center is used to handle the failure of a complete data center.

Data is transported between data-centers using a message queue. The current implementation uses Apache Kafka as message queue. Apache Kafka is a commonly used open source message queue which is capable of handling multiple data-centers. However, the ArangoDB replication is not tied to Apache Kafka. We plan to support different message queues systems in the future.

The following contains a high-level description how to setup data-center to data-center replication. Detailed instructions for specific operating systems will follow shortly. Read more

ArangoDB 3.2 GA
RocksDB, Pregel, Fault-Tolerant Foxx & Satellite Collections

00General, ReleasesTags: , , , ,

We are pleased to announce the release of ArangoDB 3.2. Get it here. After an unusually long hackathon, we eliminated two large roadblocks, added a long overdue feature and integrated an interesting new one into this release. Furthermore, we’re proud to report that we increased performance of ArangoDB on average by 35%, while at the same time reduced the memory footprint compared to version 3.1. In combination with a greatly improved cluster management, we think ArangoDB 3.2 is by far our best work. (see release notes for more details)

One key goal of ArangoDB has always been to provide a rock solid platform for building ideas. Our users should always feel safe to try new things with minimal effort by relying on ArangoDB. Todays 3.2 release is an important milestone towards this goal. We’re excited to release such an outstanding product today. Read more

A Reminder on Database Security

01General

With billions of objects and people connected to the internet and your precious data sometimes exposed publicly security is one of the most important topics to discuss. In light of recent ransomware attacks, databases exposed and other breaches we’d like to share a quick reminder on how to secure your ArangoDB environment.

Attacks can be prevented with the security protections built into the product. We strive to prevent possible security issues by giving appropriate reminders in our web console when authentication is disabled:

Read more

Introducing milestone release model and why is it better

00General, ReleasesTags:

When developing ArangoDB, we want to share with you new features as early as possible. For example, the pregel implementation that will become part of ArangoDB 3.2 was ready for testing weeks before the release date of the first beta release and the final release of 3.2.

Therefore we decided to create intermediate releases, called alpha releases, which contain new feature as early as they became stable. The benefits for the community and also for our developers team are: Read more

Dockerizing a Bloom-based Nonces Service in 10 Minutes

00Documentation, Foxx

In this article I want to explain how to setup a nonce-microservice using docker.

Nonce are one-time tokens that are used to ensure that an action can only be taken once. In a project, we needed to ensure that a pay button is only pressed once. Note that nonces are not used to sign requests or identify a user. This is a separate mechanism.

ArangoDB contains a nonce implementation which is a variation of Bloom-filters. It allows to store nearly unlimited nonces within a limited amount of memory. Nonce are allowed to age, that is after an hour they might expire. If there is sufficient interest, I will explain the algorithm implemented in a separate blog post.

More info

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