First, MOLAP and other multi-dimensional database techniques are becoming increasingly popular in many industries, particularly those that deal with large, complex data sets such as financial data, scientific data, and geospatial data. By supporting MOLAP, your library can help users better manage and analyze their data, making it more valuable and actionable.
Second, supporting MOLAP and other advanced techniques can help differentiate your database library from others in the market. By providing features and capabilities that other libraries don't offer, you can attract more users and gain a competitive advantage.
Finally, MOLAP and other advanced techniques are often essential for meeting the needs of enterprise-level users and applications. By supporting these features, your library can better serve the needs of large organizations and provide them with the tools they need to effectively manage and analyze their data.
Why?
First, MOLAP and other multi-dimensional database techniques are becoming increasingly popular in many industries, particularly those that deal with large, complex data sets such as financial data, scientific data, and geospatial data. By supporting MOLAP, your library can help users better manage and analyze their data, making it more valuable and actionable.
Second, supporting MOLAP and other advanced techniques can help differentiate your database library from others in the market. By providing features and capabilities that other libraries don't offer, you can attract more users and gain a competitive advantage.
Finally, MOLAP and other advanced techniques are often essential for meeting the needs of enterprise-level users and applications. By supporting these features, your library can better serve the needs of large organizations and provide them with the tools they need to effectively manage and analyze their data.
Also, its blazingly fast 🚀