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KQL

KQL

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What is KQL?

Kusto Query Language (KQL) is a query language used to explore and analyze data in Azure Data Explorer, Azure Monitor Logs, and other Microsoft services. It is designed to be easy to read and write, enabling users to quickly gain insights from large volumes of structured, semi-structured, and unstructured data. KQL is commonly used for log analytics, threat hunting, and operational intelligence by querying various data sources.

What other technologies are related to KQL?

KQL Competitor Technologies

Splunk's Search Processing Language (SPL) is a query language similar in purpose to KQL, used for searching and analyzing data.
mentioned alongside KQL in 29% (506) of relevant job posts
AQL (Ariel Query Language) is IBM QRadar's query language for security event analysis, serving a similar purpose as KQL.
mentioned alongside KQL in 25% (100) of relevant job posts
SentinelOne is a security platform that competes with Microsoft's security offerings, providing its own methods for data analysis and threat detection.
mentioned alongside KQL in 3% (611) of relevant job posts
IBM QRadar is a SIEM solution that competes with Azure Sentinel, using AQL instead of KQL.
mentioned alongside KQL in 2% (246) of relevant job posts
Splunk is a data analytics platform with its own query language (SPL), competing with Azure Data Explorer and KQL.
mentioned alongside KQL in 0% (862) of relevant job posts

KQL Complementary Technologies

PowerShell can be used in conjunction with KQL for automating tasks and managing Azure resources, but isn't a direct competitor.
mentioned alongside KQL in 1% (2.3k) of relevant job posts
Azure Workbooks use KQL to visualize data in Azure Monitor and Azure Sentinel.
mentioned alongside KQL in 17% (51) of relevant job posts
YARA is a pattern-matching rule language, which while different from KQL, can be used in conjunction with KQL for threat detection scenarios.
mentioned alongside KQL in 5% (148) of relevant job posts

Which organizations are mentioning KQL?

Organization
Industry
Matching Teams
Matching People
KQL
Microsoft
Scientific and Technical Services

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