Pricing is good, there is no problem.
The pricing is a little high to make the product more competetive in the marketplace.
Pricing is good, there is no problem.
The pricing is a little high to make the product more competetive in the marketplace.
SAS Data Management integrates finance, sales, and market planning data, aiding financial reporting and risk analyses. Finance and insurance sectors use it for data warehousing, cleansing, and visualization. It's user-friendly for flow creation and data scheduling. Users seek improved integration, cloud migration, and documentation. Licensing is high, with complex database connectivity.
While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use.
The tool is a bit expensive.
While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use.
The tool is a bit expensive.
Spring Cloud Data Flow is used for building data pipelines, ETL processes, and asynchronous workloads. It excels in real-time streaming, Kafka and Elasticsearch integration, and microservices orchestration. Users appreciate its straightforward programming model, auto-configuration, and user-friendly interface. Enhancements are needed in monitoring tools, documentation, and multi-language support.
This is an open-source product that can be used free of charge.
If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution.
This is an open-source product that can be used free of charge.
If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution.