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ArangoDB 3.1 – A Solid Ground to Scale part II

Estimated reading time: 3 minutes

It’s not that long ago since we released ArangoDB 3.0 in which we introduced our binary storage format VelocyPack, the ArangoDB Agency for a self-managing cluster and the first persistent index by implementing Facebooks RocksDB. With all that we laid the foundation for a solid ground to scale with all three data-models.

With today’s ArangoDB 3.1 release we take things a few steps further and make cluster usage of ArangoDB more performant and convenient. Get ArangoDB 3.1.

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ArangoDB 3.1 Enterprise Edition – A Solid Ground to Scale with Graphs

Estimated reading time: 1 minutes

In addition to our community version of ArangoDB 3.1 we are excited to release our first Enterprise Edition today. The Enterprise Editions of ArangoDB focuses on enterprise-scale problems and provides useful features to meet the requirements of enterprise customers. You can download a free evaluation-only version here: Download Enterprise Edition. ArangoDB Enterprise Edition also comes with the Enterprise subscription, including comprehensive support SLA.

This first ArangoDB Enterprise Edition includes three major features:

  • SmartGraphs: Scale with graphs to a cluster and stay performant...
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ArangoDB Spark Connector

Estimated reading time: 1 minutes

Currently we are diving deeper into the Apache Spark world. We started with an implementation of a Spark-Connector written in Scala. The connector supports loading of data from ArangoDB into Spark and vice-versa. Today we release a first prototype with an aim of including our community into the development process early to build a product that fits your needs. Your feedback is more than welcome!

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Webinar: ArangoDB and DC/OS Graph, Documents in a scalable Distributed Data-Store

Estimated reading time: 1 minutes

Wednesday, October 26th

DC/OS provides ArangoDB with exactly the infrastructure it needs for implementing a modern distributed stateful service. Join this upcoming webinar to learn how DC/OS quickly and easily deploys ArangoDB to provide scaling and fault tolerance with automatic replacement of failed components. While DC/OS supplies the management of resources and hence allows multiple services to share a common infrastructure, ArangoDB provides a modern persistence layer with its multi-model, fault-tolerant datastore.

In this webinar, we will discuss:

  • The trend from distributed, stateful..
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Updated Sync & Async Java Drivers with ArangoDB 3.1

Estimated reading time: 2 minutes

The upcoming 3.1 release comes with a binary protocol – VelocyStream – to transport VelocyPack (internal storage format of ArangoDB introduced with the 3.0 release) data between ArangoDB and client applications. VelocyPack stores a superset of JSON, is more compact and has a fast attribute lookup. On the other hand, VelocyStream allows to send VelocyPack in an optimized form over the network. We think it would be the right time to update our official Java Driver to modernize it and to let it be the first to fully support VelocyStream.

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Release Candidate 2 of ArangoDB 3.1

Estimated reading time: 2 minutes

We are glad to announce that the second release candidate (RC2) of ArangoDB 3.1 is publicly available. What makes this release particularly special to us is that it also includes an official release candidate of our new Enterprise Edition with a few extra add-ons up its sleeve. The upcoming ArangoDB 3.1 will be a significant release taking effort from the solid base built with ArangoDB 3.0 which introduced our binary storage format VelocyPack, the ArangoDB Agency for a self-managing cluster architecture and the first persistent index based on Facebook’s RocksDB.

RC2 of ArangoDB 3.1 is..

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Deploying an ArangoDB 3 Cluster with 2 Clicks

Estimated reading time: 2 minutes

Hurray! Last week finally saw the release of ArangoDB 3.0 with lots of new features and in particular various improvements for ArangoDB clusters. In this blog post, I want to talk about one aspect of this, which is deployment.

DC/OS

As of last Wednesday, deploying an ArangoDB 3.0 cluster on DC/OS has become even simpler, because the new version of our framework scheduler has been accepted to the DC/OS Universe. Therefore, deployment is literally only two clicks:

Choose ArangoDB3 in the DC/OS Universe 

Hit “Install Package” and you are done!

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Running ArangoDB 3.0.0 on a DC/OS cluster

Estimated reading time: 3 minutes

As you surely recognized we´ve released ArangoDB 3.0 a few days ago. It comes with great cluster improvements like synchronous replication, automatic failover, easy up- and downscaling via the graphical user interface and with lots of other improvements. Furthermore, ArangoDB 3 is even better integrated with Apache Mesos and DC/OS.

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ArangoDB 3.0 – A Solid Ground to Scale

Estimated reading time: 3 minutes

After 6 months of development we are happy and excited to announce the fully production ready ArangoDB 3.0 today! Get ArangoDB 3.0 now!

We designed ArangoDB as a native multi-model DB from the first line of code. By providing three major NoSQL data models in one technology the ArangoDB team wants to fulfill its mission to simplify data work. With ArangoDB 3 we believe that our users will come more than one step closer to a dramatically simpler way to create their applications.

The current constraint isn’t hardware anymore. Computing power is spinned with a few clicks. The current constraint..

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ArangoDB 3.0 new Cluster features

Estimated reading time: 3 minutes

The 3.0 release of ArangoDB will introduce a completely overhauled cluster and marks a major milestone on its road to “zero-maintenance” where you can keep focus on your product instead of your datacenter.

Synchronous replication

Earlier releases of ArangoDB already featured asynchronous replication. This was already a great method to do backups and allowed for failover in case of a disaster. However that was mostly a manual job and furthermore – due to its asynchronous nature – data loss could happen.

With the release of ArangoDB 3.0 the cluster will feature synchronous replication. When..

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