Bootify vs. Spring Cloud Data Flow vs. IBM StreamSets vs. dbForge Query Builder for SQL Server Comparison Chart

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

dbForge Query Builder for SQL Server is a professional tool for designing complex SQL queries in a visual mode using query diagrams and drag-and-drop capabilities. The tool enables SQL developers to quickly and accurately create sophisticated queries without manual code typing, including queries with numerous subqueries. Key Features: - SQL statement builder executes created queries and edits tables data - Accelerate routine tasks with integrated AI Assistant - Construct data manipulation queries without manual coding - Auto Join of columns by primary/foreign key or name - Combine a few queries to a sub-query via visual SQL editor - Sort and filter data based on a custom complex criteria - Reverse engineer queries it into a visual representation - Use visual SQL query builder to profile designed queries dbForge Query Builder for SQL Server significantly reduces the need for manual code ty