UTMStack VS KQL

Compare UTMStack vs KQL and see what are their differences.

KQL

Threat Hunting query in Microsoft 365 Defender, XDR. Provide out-of-the-box KQL hunting queries - App, Email, Identity and Endpoint. (by LearningKijo)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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UTMStack KQL
1 5
184 394
3.3% -
9.8 9.6
1 day ago about 1 month ago
Java
GNU Affero General Public License v3.0 -
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.

UTMStack

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

KQL

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

What are some alternatives?

When comparing UTMStack and KQL you can also consider the following projects:

Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.

Hunting-Queries-Detection-Rules - KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.

graylog - Free and open log management

Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log-like data