Today, the industry is growing at a faster pace. With modernization, more and more data is getting generated out of different industries, which requires large data processing. Most of the software used in big data ecosystems is based on of open source, with limited paid support for commercial implementations. So, selection of the right technology that can address your problems is important. Additionally, when you choose a technology for solving your big data problem, you should evaluate it based on the following points, at least:
- Evolution of technology with the number of years
- The release's maturity (alpha, beta, or 1.x)
- The frequency of product releases
- The number of committers, which denotes the activeness of the project
- Commercial Support from Companies like Hortonworks and Cloudera
- List of JIRA tickets
- Future roadmap for new releases
