By
Stroom
StroomStroom
DatabasesWhat 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
No cons listed yet.
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.
