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Review on StreamSQL by Luis Esquivel

Revainrating 4 out of 5

Scalable toolset designed especially well and optimized specifically

The best thing about streamsql is that it has no limits to how many users can connect at once, which allows you more flexibility with your applications than other tools in this space do (such as Spark SQL). It's also very easy for new developers who are not familiar or comfortable using RDBMS-based databases like MySQL/Postgresql etc., because of its simple UI design; however I would recommend having some experience working directly from an sql prompt before attempting any serious workflows involving large datasets within Sqoop2 - although there have been improvements since we started our project so perhaps these issues will be addressed soon! We're solving two problems here : 1) Data transfer between different systems without exposing sensitive data 2.) A scalable way of handling big volumes of unstructured text logs generated by multiple microservices running across various cloud environments.

Pros
  • StreamsQL provides high performance distributed querying capabilities over Hive tables hosted remotely via Amazon Redshift clusters while providing flexible options when needing customization such us schema mapping rules creation / deletion &/or table partitioning configuration changes during runtime through user defined functions implemented locally inside each stream application node
Cons
  • Not being able yet implement full support for structured streaming queries , especially those related to window function clauses

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