The solution is scalable.
Apache Spark excels with fast in-memory processing, extensive machine learning capabilities, and significant scalability for managing large datasets. Users benefit from its easy setup and stability, though improvements in memory handling and programming language support are needed. Enhanced integration with other platforms and migration processes would increase usability. Addressing the initial setup complexity and supporting more machine learning algorithms, particularly for streaming data, will further enhance its appeal to tech buyers.
