Apache Flink vs Trifacta: 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, Trifacta is detailed as "Develops data wrangling software for data exploration and self-service data preparation for analysis". It is an Intelligent Platform that Interoperates with Your Data Investments. It sits between the data storage and processing environments and the visualization, statistical or machine learning tools used downstream.
Apache Flink and Trifacta 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, Trifacta provides the following key features:
- Interactive Exploration
- Automated visual representations of data based upon its content in the most compelling visual profile
- Predictive Transformation
Apache Flink is an open source tool with 10K GitHub stars and 5.37K GitHub forks. Here's a link to Apache Flink's open source repository on GitHub.