Apache Flink vs Mara: What are the differences?
Developers describe Apache Flink as "Fast and reliable large-scale data processing engine". Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala. On the other hand, Mara is detailed as "A lightweight ETL framework". A lightweight ETL framework with a focus on transparency and complexity reduction.
Apache Flink and Mara belong to "Big Data Tools" category of the tech stack.
Some of the features offered by Apache Flink are:
- Hybrid batch/streaming runtime that supports batch processing and data streaming programs.
- Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.
- Flexible and expressive windowing semantics for data stream programs
On the other hand, Mara provides the following key features:
- Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code.
- PostgreSQL as a data processing engine.
- Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines.
Apache Flink and Mara are both open source tools. Apache Flink with 9.35K GitHub stars and 5K forks on GitHub appears to be more popular than Mara with 1.24K GitHub stars and 51 GitHub forks.