Scalyr vs Stroom: What are the differences?

Developers describe Scalyr as "Cloud-based log aggregation, server monitoring, and real-time analysis tool". Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab. 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.

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

Some of the features offered by Scalyr are:

• Remote log monitoring
• log aggregation
• real-time reporting

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.