Apache Flink vs AtScale: What are the differences?
What is Apache Flink? 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.
What is AtScale? The virtual data warehouse for the modern enterprise. Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
Apache Flink and AtScale can be primarily classified as "Big Data" tools.
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, AtScale provides the following key features:
- Multiple SQL-on-Hadoop Engine Support
- Access Data Where it Lays
- Built-in Support for Complex Data Types
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.