Orchestration System Capabilities Comparison
Ascend.io vs Azure Data Factory
Flexible Coding Systems To Meet All Data Orchestration Needs
The future of data teams and systems relies on robust data orchestration tools. As the foundation of crucial data science and analytics workflows, enterprise-grade data pipelines need to be fast, simple to create, easy to manage, massively scalable, and seamless to integrate with other data systems.
To help achieve this, low-code and no-code technologies have risen to prominence in recent years. However, these lower-code technologies use visual interfaces to abstract away the majority of coding required to build business logic, which greatly limits the flexibility to meet more enterprise-grade, complex business logic needs with custom code when needed.
There is an alternative: flex code dataflow automation systems that are massively scalable and declarative in design. These systems address both needs, where data analysts benefit from low-code features while data engineers can add raw code to handle special situations, under one unified framework.