As new data types and workloads emerge, SQL databases will need to evolve to support them. Here are some specific new SQL features that are likely to emerge in the coming years:
Native support for new data types. SQL databases will need to add native support for new data types, such as JSON, XML, and geospatial data. This will make it easier to store and query these data types without having to convert them to relational tables first.
Support for graph data. Graph databases are becoming increasingly popular for storing and querying complex relationships between data. SQL databases will need to add support for graph data in order to remain competitive.
Support for streaming data. Real-time streaming data is becoming increasingly important for many applications. SQL databases will need to add support for streaming data in order to make it easier to analyze and process this data in real time.
Improved performance for complex queries. As data sets become larger and more complex, SQL databases will need to improve their performance for complex queries. This may involve using new indexing techniques or query optimizers.
Better support for parallel processing. To handle large data sets and complex queries, SQL databases will need to improve their support for parallel processing. This will allow them to distribute the workload across multiple servers to improve performance.
In addition to these specific features, SQL databases will also need to become more flexible and scalable in order to meet the needs of new data types and workloads. For example, SQL databases will need to be able to support a wider range of data formats and schema types. They will also need to be able to scale to handle very large data sets and high volumes of traffic.
Overall, the future of SQL is bright. SQL databases are still the best choice for many applications, and they are continuing to evolve to support new data types and workloads.