Apache Spark

Introducing the new ArangoDB Datasource for Apache Spark

Estimated reading time: 8 minutes

We are proud to announce the general availability of ArangoDB Datasource for Apache Spark: a new generation Spark connector for ArangoDB.

Nowadays, Apache Spark is one of the most popular analytics frameworks for large-scale data processing. It is designed to process in parallel data that is too large or complex for traditional databases, providing high performances by optimizing query execution, caching data in-memory and controlling the data distribution.

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February 2022: What’s the Latest with ArangoDB?

Estimated reading time: 4 minutes

Hello Community,

Welcome to the third ArangoDB newsletter of 2022. This month, we invite you to:

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Introducing ArangoDB 3.9 – Graph Meets Analytics

Estimated reading time: 4 minutes

We are proud to announce the GA release of ArangoDB 3.9!

Congrats to the team and community for the latest ArangoDB release 3.9! ArangoDB 3.9 is focused on extending the capabilities of advanced Analytics and especially at scaling Graph use cases even further. In the remainder of this blog post, we will dive further into some of the features including Hybrid SmartGraphs, new AQL functions, new ArangoSearch Analyzer, and various other performance and user experience improvements.

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January 2022: What’s the Latest with ArangoDB?

Estimated reading time: 4 minutes

Hello Community,

Welcome to the second ArangoDB newsletter of 2022. 

You survived the first month of the year – congratulations! Why not take some time to enjoy a little 🥑 goodness, such as:

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DGL Adaptor

Introducing the ArangoDB-DGL Adapter

Estimated reading time: 15 minutes

We are proud to announce the GA 1.0 release of the ArangoDB-DGL Adapter!

The ArangoDB-DGL Adapter exports Graphs from ArangoDB, a multi-model Graph Database, into Deep Graph Library (DGL), a python package for graph neural networks, and vice-versa.

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Introducing the ArangoDB NetworkX Adapter 2

Introducing the ArangoDB-NetworkX Adapter

Estimated reading time: 18 minute

We are proud to announce the GA 3.0 release of the ArangoDB-NetworkX Adapter!

The ArangoDB-Networkx Adapter exports Graphs from ArangoDB, a multi-model Graph Database, into NetworkX, the swiss army knife for graph analysis with python, and vice-versa.

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Happy 2022: What’s the Latest with ArangoDB?

Estimated reading time: 5 minutes

Hello Community,

Welcome to the first ArangoDB newsletter of 2022. 

We’re excited about things to come in the new year, and hope you are, too. Here’s what we’ve got on the docket so far:

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New Years Eve Card eCard Twitter Post copy

A Year in Review: Welcome 2022 with ArangoDB.

Estimated reading time: 4 minutes

As the new year begins, It’s time to take a step back and reflect on 2021. 2021 was a big year for ArangoDB, and none of it would have been possible without the hard work and dedication of our team, as well as the continuous support from our community. This blog post recaps a few of our favorite moments from the last year and to get excited about what 2022 has in store for ArangoDB.

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SEO SM A Guide to Putting Together a Virtual Conference

A Guide to Putting Together a Virtual Conference

Estimated reading time: 7 minutes

Hello! I’m Cris Miranda, the community manager at ArangoDB, and I make sure ArangoDB has a vibrant, wholesome, and ever-growing community of amazing people. I want to share some tips and advice based on valuable lessons we’ve learned from our first-ever virtual developers’ conference. 

In this short blog post, you’ll learn about how to avoid the common pitfall of ‘feature creep’ as well as gain tips on navigating virtual events platforms. I also teach you how you and your team can move together in synchronicity while keeping your goals as your guiding lighthouse. Lastly, I’ll teach you the best mindset to approach the world of rapidly changing live events. Alright, let’s get started!  

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October 2021: What’s the Latest with ArangoDB?

Estimated reading time: 5 minutes

Hello Community,

Welcome to the tenth ArangoDB newsletter of 2021. 

This month, we are happy to be able to share:

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