The topic is really interesting and relevant. In 2024, we are seeing noticeable changes in the field of object oriented databases statistics, and in my opinion, this is due to several factors. First, NoSQL solutions have seen an increase in popularity in recent years. They provide flexibility and scalability that traditional relational databases can’t always offer. This is causing many companies to rethink their approaches to database design. For example, MongoDB and Cassandra can be used to handle unstructured data, which is especially relevant for the large volumes of information that are generated by social media and IoT devices. In addition, integrating machine learning into database management is also becoming a key aspect. Many modern systems already use ML algorithms to optimize queries and automatically adjust performance parameters. This not only reduces the burden on database administrators, but also speeds up data processing. For example, systems can automatically analyze query patterns and suggest optimal indexes, which greatly improves speed. Also worth mentioning is the proliferation of cloud-based solutions such as Amazon RDS or Google Cloud Spanner. They allow for easy scalability of the infrastructure and provide high availability. Thanks to this, SMBs can use powerful tools that were previously only available to large organizations. This, in turn, opens up new horizons for data development and analysis.

Thanks for the interesting discussion. I too am noticing that many companies are paying more and more attention to the flexibility and scalability of their databases. For example, in my practice we have started using cloud-based solutions and it really simplifies data management. Does anyone have examples of specific projects where you’ve been able to apply these new technologies? It would be interesting to hear!

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