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MongoDB is a popular non-relational database among developers of distributed apps. This Not Only SQL (NoSQL) database system delivers versatility, high scalability, and a flexible querying model. MongoDB is also remarkable for its fault-tolerance, self-healing, and real-time analytics capabilities. But many companies also decry that MongoDB pricing is expensive and complicated. We’ll share how the MongoDB pricing model works.

The foundation of software development is rooted in the handling and preservation of data in compliance with the goals of the application. The core of any software program is the information stored in databases that is used for retrieval and manipulation. To ensure that the chosen database system (whether SQL or Non-SQL) is suitable for the needs of the application, it’s important to conduct tests to evaluate its capabilities.

I recently attended a virtual event and heard the speaker comment, “Relational databases don’t scale.” To my ears, this is about as silly a statement as saying, “No one can eat 26 hot dogs in 12 minutes” right before Kobayashi shows up and eats 50. In my experience, relational databases scale when they’re placed in the hands of someone who knows what they’re doing. Just imagine if Kobayashi was your data architect!

Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier. Conversely, perhaps, the automation and audit trails it introduces can help to protect personal data within databases and make compliance part of the same process rather than an additional time-consuming step outside it.

VictoriaMetrics is proud to announce that we consider vmbackup and vmbackupmanager to be feature-complete solutions as of release 1.85.3. These backup components are essential for ensuring the safety and integrity of your data, and we have made a number of improvements in recent releases to make them even more reliable and user-friendly.

If you are working with large amounts of data that will primarily be used for analytics, a column database might be a good option. There are a lot of different options when it comes to choosing a database for your application. A common discussion seems to be the high-level SQL vs. NoSQL database argument of whether data should be stored in a relational database or in a NoSQL alternative like key-value, document or graph databases.

As technology improves and customer demands change, many companies must provide fast, engaging, and secure services. Developers rely on platforms that support sub-millisecond response times to power these capabilities in their applications. Amazon ElastiCache and Redis are two of the most popular platforms for building fast, highly available, and scalable data stores.

As a data professional, I often think about all the things around me generating data and consider where this data is ultimately being used. Have you ever taken a minute to consider exactly how much data is being generated at any point in time? I love collecting data and looking at ways it can be used and living in a “smart” home with appliances logging and reporting usage patterns certainly provides a lot of opportunities.