What 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 Big Data Tools category of a tech stack.
Stroom is an open source tool with 440 GitHub stars and 57 GitHub forks. Here’s a link to Stroom's open source repository on GitHub
Who uses Stroom?
Developers
Stroom Integrations
Stroom's 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
- Create multiple indexes with different retention periods. These can be sharded across your cluster
- Run queries against your indexes or statistics and view the results within custom visualisations
- Record counts or values of items over time
Stroom Alternatives & Comparisons
What are some alternatives to Stroom?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
