Stroom vs LogMx: What are the differences?

Developers describe Stroom as "A scalable data storage, processing and analysis platform". It is a data processing, storage and analysis platform. It is scalable - just add more CPUs / servers for greater throughput. It is suitable for processing high volume data such as system logs, to provide valuable insights into IT performance and usage. On the other hand, LogMx is detailed as "An intuitive and cross-platform tool, for developers and administrators analyzing log files". It is an intuitive and cross-platform tool, for developers and administrators analyzing log files Using a nice and powerful graphical interface, it parses, displays and monitors any logs from any source..

Stroom belongs to "Big Data Tools" category of the tech stack, while LogMx can be primarily classified under "Log Management".

Some of the features offered by Stroom are:

• Receive and store large volumes of data such as native format logs. Ingested data is always available in its raw form
• Create sequences of XSL and text operations, in order to normalise or export data in any format. It is possible to enrich data using lookups and reference data
• Easily add new data formats and debug the transformations if they don't work as expected

On the other hand, LogMx provides the following key features:

• Nice and powerful graphical interface
• Parses log events from any file or data stream
• Standalone application weighing only about 6 MB

Stroom is an open source tool with 312 GitHub stars and 32 GitHub forks. Here's a link to Stroom's open source repository on GitHub.