Loggly vs Stroom: What are the differences?

Developers describe Loggly as "Log Management, Simplified in the Cloud". The world's most popular cloud-based log management service delivers application intelligence. On the other hand, Stroom is detailed 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.

Loggly and Stroom are primarily classified as "Log Management" and "Big Data" tools respectively.

Some of the features offered by Loggly are:

• See what your application is doing during development
• Catch exceptions and track execution flow
• Graph and report on the number of errors generated

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

• 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

Stroom is an open source tool with 294 GitHub stars and 32 GitHub forks. Here's a link to Stroom's open source repository on GitHub.