ArangoDB Named Best Free Graph Database by G2 Crowd Users

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ArangoDB named by G2 Crowd users as the most popular graph database used today.

ArangoDB has been identified as the highest rated graph database, based on its high levels of customer satisfaction and likeliness to recommend ratings from real G2 Crowd users.

ArangoDB received a near perfect 4.9 out of 5 star average for user satisfaction for its free platform across its 24 user reviews. ArangoDB users point to the database’s query language, availability and storage as the three most liked features of the product. Read more

InfoCamere investigated graph databases and chose ArangoDB

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InfoCamere is the IT company of the Italian Chambers of Commerce. By devising and developing up-to-date and innovative IT solutions and services, it connects the Chambers of Commerce and their databases through a network that is also accessible to the public via the Internet. Thanks to InfoCamere, businesses, Public Authorities, trade associations, professional bodies and simple citizens – both in Italy and abroad – can easily access updated and official information and economic data on all businesses registered and operating in Italy.

The Italian Chambers of Commerce are public bodies entrusted to serve and promote Italian businesses through over 300 branch offices located throughout the country. InfoCamere helps them in pursuing their goals in the interest of the business community. On behalf of the Chambers’ System, InfoCamere plays a key-role in implementing the Italian Digital Agenda with respect to the digital transformation process of the national productive system, especially focusing on supporting the digitalization of SMEs.

Guest post by Luca Sinico (Software Developer, InfoCamere)

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

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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

ArangoDB 3.2 beta release:
Pluggable Storage Engine with RocksDB, Distributed Graph Processing and a ClusterFoxx

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We’re excited to release today the beta of ArangoDB 3.2. It’s feature rich, well tested and hopefully plenty of fun for all of you. Keen to take it for a spin? Get ArangoDB 3.2 beta here.

With ArangoDB 3.2, we’re introducing the long-awaited pluggable storage engine and its first new citizen, RocksDB from Facebook

  • RocksDB: You can now use as much data in ArangoDB as you can fit on your disk. Plus, you can enjoy performance boosts on writes by having only document-level locks (more info below).
  • Pregel: Furthermore, we implemented distributed graph processing with Pregel for discovering hidden patterns, identify communities and perform in-depth analytics of large graph data sets.
  • ClusterFoxx: Another important upgrade is what we internally and playfully call the ClusterFoxx. The Foxx management internals have been rewritten from the ground up to make sure multi-coordinator cluster setups always keep their services in sync and new coordinators are fully initialised even when all existing coordinators are unavailable.
  • Enterprise: Working with some of our largest customers, we’ve added further security and scalability features to ArangoDB Enterprise like LDAP integration, Encryption at Rest, and the brand new Satellite Collections.

The goal of the whole ArangoDB 3 release cycle has been to scale the multi-model idea to new heights. Getting ‘ready’ for large scale applications is not done overnight and it’s definitely not possible without the help of a strong community. We’d like to invite all of you to lend us a helping hand to make ArangoDB 3.2 the best release ever. Please push this beta to its limits: test it for your use cases and compare the performance of the new features like RocksDB. Let us know on Github any bug that you find. Don’t worry about hurting our feelings: we want to fix any problems.

Join the Beta Bug Hunt Challenge and win a $200 Amazon Gift Card as first prize. You can find more details about this reward program at the end of this post. Read more

From Zero to Advanced Graph Query Knowledge with ArangoDB

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Thinking about your data as a highly connected set of information is a powerful way to gain insights, solve problems and bring products faster into the hands of your users.

Unlike other databases, relationships take the first priority in graph databases and with ArangoDBs multi-model approach for graphs, documents and key/value pairs you can even switch between models or combine them in a single query.

The graph concept is booming but still new to many. So we invested a few bazillion coffees and some night shifts to come up with a good plan for a Graph Course:

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Alpha3 of ArangoDB 3.2: Support for Distributed Graph Processing

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The next alpha release of the upcoming ArangoDB 3.2 is available for testing. You can download and install alpha3 here.

Moving forward

As ArangoDB 3.2 will include several new features and improvements, we realized that the release model that we currently follow has room for improvement. Going forward we will introduce milestone releases with ArangoDB 3.3. For this major release you will see a bit more alphas. You can read detailed info about the new structure model here.

Pregel computing model

In this alpha we introduce support for incremental graph processing algorithms in a single mode server as well as in the cluster. Read more

How to model customer surveys in a graph database

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Use-Case

The graph database use-case we are stepping through in this post is the following: In our web application we have several places where a user is led through a survey, where she decides on details for one of our products. Some of the options within the survey depend on previous decisions and some are independent.

Examples:

  • Configure a new car
  • Configure a new laptop
  • Book extras with your flight (meal, reserve seat etc.)
  • Configure a new complete kitchen
  • Collect customer feedback via logic-jump surveys

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