StroomWhat is Stroom?
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.
Stroom is a tool in the Databases category of a tech stack.
Key Features
Receive and store large volumes of data such as native format logs. Ingested data is always available in its raw formCreate 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 dataEasily add new data formats and debug the transformations if they don't work as expectedCreate multiple indexes with different retention periods. These can be sharded across your clusterRun queries against your indexes or statistics and view the results within custom visualisationsRecord counts or values of items over time
Stroom Pros & Cons
Pros of Stroom
No pros listed yet.
Cons of Stroom
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Stroom Alternatives & Comparisons
What are some alternatives to Stroom?
Logstash
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Logback
It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
SLF4J
It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
