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Great question, and I'm glad you're interested in columnar databases statistics. In 2024, we do see a marked increase in their popularity, especially among big data companies. The main changes are related to performance improvements and integration capabilities. Firstly, it's worth noting that columnar databases such as Amazon Redshift, Google BigQuery and ClickHouse continue to grow strongly. One of the key trends is the use of multi-dimensional data warehouses that allow for more efficient processing of analytics queries. This is because columnar databases are optimized for readability, making them ideal for running complex queries. In addition, new technologies such as machine learning and artificial intelligence are beginning to integrate more and more with these databases. This means that companies can not only store data, but also automatically analyze it, identify patterns and predict future trends. For example, some companies are already using built-in machine learning features in their columnar databases to automate data analysis, saving time and resources. What's also interesting is the increasing focus on data security in 2024. Columnar databases now offer more advanced encryption and access control mechanisms, which becomes especially important for compliance with GDPR and other regulations. This gives users confidence that their data is safe, even if it's stored in the cloud.

I too am interested in how machine learning technologies can improve data analysis in columnar databases. I'm going to try one of these databases for my project and am looking for resources to help figure things out quickly. Any recommendations would be appreciated!