go-stash VS o365beat

Compare go-stash vs o365beat and see what are their differences.


go-stash is a high performance, free and open source server-side data processing pipeline that ingests data from Kafka, processes it, and then sends it to ElasticSearch. (by kevwan)


Elastic Beat for fetching and shipping Office 365 audit events (by counteractive)
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go-stash o365beat
5 2
752 61
6.3% -
6.0 0.0
about 2 months ago over 1 year ago
Go Go
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of go-stash. We have used some of these posts to build our list of alternatives and similar projects.


Posts with mentions or reviews of o365beat. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing go-stash and o365beat you can also consider the following projects:

docker-elk - The Elastic stack (ELK) powered by Docker and Compose.

HELK - The Hunting ELK

dsiem - Security event correlation engine for ELK stack

Gravitational Teleport - Certificate authority and access plane for SSH, Kubernetes, web apps, databases and desktops

egopipe - A minimalist solution for logstash complexity in Elastic for Go programmers.

ElastiFlow - Network flow analytics (Netflow, sFlow and IPFIX) with the Elastic Stack

lxd-probe - Open Source runtime scanner for Linux containers (LXD / LXC), It performs security audit checks based on CIS Linux containers Benchmark specification

reposaur - The open source compliance tool for development platforms.