Estimated reading time: 10 minutes

As businesses grow and their data needs increase, they often face the challenge of scaling their database systems to keep up with the increasing demand.

What happens when your single server machine is no longer sufficient to store your graph that has grown too large? Or when your instance can no longer cope with the increasing amount of user requests coming in?

Estimated reading time: 4 minutes

With the growing prevalence of the internet in our daily lives, the risks of malware, ransomware, and other cyber fraud are rising. The digital nature of these attacks makes it very easy for fraudsters to scale by creating thousands of accounts, so even if one is identified, they can continue their attacks.
In this blog post, we will discuss how graph and entity resolution (ER) can help us battle these risks across different industries such as healthcare, finance, and e-commerce (for example, the US healthcare system alone can save $300 billion a year with entity resolution). You will also receive hands-on experience with entity resolution on ArangoDB.

Estimated reading time: 5 minutes

Fraud is one of the most significant issues facing businesses today. While companies have always faced fraud, detecting fraudulent activity has become even more challenging due to increased online transactions. Globally, fraud results in more than $3.7 trillion in annual losses (Murphy, 2022). Fraud comes in numerous forms, including but not limited to money laundering, identity theft, account takeover, and payment fraud. Due to the variety of ways companies can face fraud, they must have a system to protect themselves and their customers.