Apache Flink vs MemSQL: What are the differences?
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; MemSQL: Database for real-time transactions and analytics. MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
Apache Flink and MemSQL are primarily classified as "Big Data" and "In-Memory Databases" tools respectively.
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, MemSQL provides the following key features:
- ANSI SQL Support
- Fully-distributed Joins
- Compiled Queries
Apache Flink is an open source tool with 9.35K GitHub stars and 5K GitHub forks. Here's a link to Apache Flink's open source repository on GitHub.
Zalando, sovrn Holdings, and BetterCloud are some of the popular companies that use Apache Flink, whereas MemSQL is used by Shutterstock, Zynga, and StreetHawk. Apache Flink has a broader approval, being mentioned in 20 company stacks & 22 developers stacks; compared to MemSQL, which is listed in 10 company stacks and 4 developer stacks.