Azure Spring Apps vs. CoreIDE vs. Spring Cloud Data Flow vs. Text2SQL.AI Comparison Chart

Azure Spring Apps is a fully managed service that helps Spring developers focus on code, not on infrastructure. Deploy any type of Spring app—including web apps, microservices, event-driven, serverless, and batch—without the need for Kubernetes. Take advantage of the Azure ecosystem while using your existing investments. Gain deep insights into application dependencies and operational telemetry using Azure monitor. Aggregate metrics for a topological view of how different services interact and see average performance and error rates. Easily identify the root cause of reliability issues and performance bottlenecks. Focus on what matters—your apps, business logic, and delivering value to your users. Deploy any type of Spring or Polyglot apps, either from source code or artifacts, with support for container creation and maintenance.

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.