Fluentd vs Treasure Data: What are the differences?
Developers describe Fluentd as "Unified logging layer". Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure. On the other hand, Treasure Data is detailed as "Flexible data analytics infrastructure as a service". Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.
Fluentd can be classified as a tool in the "Log Management" category, while Treasure Data is grouped under "Big Data as a Service".
Some of the features offered by Fluentd are:
- Open source
- Minimum resources
On the other hand, Treasure Data provides the following key features:
- Instant Integration- Using td-agent, you can start importing your data from existing log files, web and packaged applications right away.
- Streaming or Batch?- You choose! Our data collection tool, td-agent, enables you to stream or batch your data to the cloud in JSON format.
- Secure Upload- The connection between td-agent and the cloud is SSL-encrypted, ensuring secure transfer of your data.
Fluentd is an open source tool with 8.04K GitHub stars and 938 GitHub forks. Here's a link to Fluentd's open source repository on GitHub.