Databases: Better Benchmarks Through Graphs and Promotion of Charmed MongoDB
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Marcel Kolaja ☛ Better Benchmarks Through Graphs
Designing, optimizing, or improving a database system requires a lot of choices and trade-offs. Some of these are big (optimistic vs pessimistic, distributed vs single machine, multi-writer vs single-writer, optimizing for reads or writes, etc), but there are also thousands of small ones (“how much time should I spend optimizing this critical section?”). We want benchmarks that will shine light on these decisions, allowing us to make them in a quantitative way.
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Ubuntu ☛ Ubuntu Blog: Charmed MongoDB®: use cases for financial services
Financial institutions handle vast amounts of sensitive and confidential data, including customer information, transaction details, and regulatory compliance records. A trusted database ensures the security and privacy of this sensitive information, protecting it from unauthorised access, breaches, or cyber threats.
MongoDB is the ideal fit, and it’s one of the most widely used databases in the financial services industry. It provides a sturdy, adaptable and trustworthy foundation. It also can safeguard sensitive customer data while facilitating swift responses to rapidly evolving situations. This security and stability can be enhanced even further with Charmed MongoDB.