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Advanced Fraud Detection in Financial Services with ArangoDB and AQL

Estimated reading time: 3 minutes

Estimated reading time: 3 minutes

Advanced Fraud Detection: ArangoDB’s AQL vs. Traditional RDBMS

In the realm of financial services, where fraud detection is both critical and complex, the choice of database and query language can impact the efficiency and effectiveness of fraud detection systems. Let’s explore how ArangoDB – a multi-model graph database – is powered by AQL (ArangoDB Query Language) to handle multiple, real-world fraud detection scenarios in a much more seamless and powerful way compared to traditional Relational Database Management Systems (RDBMS).

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Three Ways to Scale your Graph

Estimated reading time: 10 minutes

Estimated reading time: 10 minutes

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Why Should You Care About SOC 2?

Estimated reading time: 4 minutes

And by the way, ArangoDB is SOC 2 compliant!

Estimated reading time: 3 minutes

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Community Notebook Challenge

Estimated reading time: 2 minutes

Calling all Community Members! 🥑

Today we are excited to announce our Community Notebook Challenge.

What is our Notebook Challenge you ask? Well, this blog post is going to catch you up to speed and get you excited to participate and have the chance to win the grand prize: a pair of custom Apple Airpod Pros.

Our Interactive Tutorials repository has a library of python notebooks available covering the full spectrum of ArangoDB features. Although we cover a lot of topics, something is missing… YOUR notebook! As announced in our July Newsletter on July 29th and running until October 31st, the ..

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