CData API Server vs. CData Connect AI vs. GlassFlow vs. IronPython Comparison Chart

The CData API Server is the fastest and easiest way to build and deploy data driven APIs. With API Server users can create APIs that deliver application back–ends for internal applications, facilitate mobile development projects, expose data as a service, and deploy enterprise–class microservices. The API Server is an installed application that includes everything needed to create, run, manage and secure APIs - all without custom development. It enables you to create and deliver self-contained API endpoints, on-premise or to the cloud - that connect to any application or database and translate REST, JSON, and OData API calls to your configured IT resources. Complete with API critical features like access-control, data security, monitoring, and management, API server is a powerful tool to help modernize your back-end infrastructure. Download a 30-day free trial of CData API Server or learn more at: https://www.cdata.com/apiserver/

GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. GlassFlow provides a low-code interface for quick pipeline setup, allowing users to create and deploy pipelines within minutes. It also offers features such as serverless function execution, real-time API connections, and alerting and reprocessing capabilities. The platform is designed to simplify the creation and management of event-driven data pipelines, making it accessible for Python developers.