
KQL Query Helper
VerifiedExpert assistance for building and refining KQL queries.
What is KQL Query Helper?
Get practical support for writing effective KQL queries whether handling logs, metrics, or analytics workloads.
Designed for data professionals who need reliable query help without access to restricted internal instructions.
Prompts to try with KQL Query Helper
What you can use KQL Query Helper for
Log Analysis in Azure Monitor
Create and refine KQL queries to explore and summarize large volumes of diagnostic logs from Azure services.
Security Event Investigation
Build queries that detect anomalies or patterns in Microsoft Defender or Sentinel data while keeping sensitive details private.
Performance Tuning Existing Queries
Receive guidance on optimizing slow KQL queries for faster results on Microsoft data platforms like Log Analytics.
How to use KQL Query Helper
- 1Open the GPT in ChatGPT
- 2Describe your data source or paste an existing KQL query
- 3Specify what you want to achieve or improve
- 4Review the suggested query and explanations
- 5Iterate by asking follow-up questions for refinements
KQL Query Helper: pros & cons
Pros
- +Focused expertise on Kusto Query Language
- +Provides clear explanations alongside queries
- +Emphasizes privacy for sensitive details
- +Useful for both beginners and experienced Microsoft platform users
Cons
- –Requires a ChatGPT account to access
- –Niche scope limited to KQL only
- –Suggestions should be tested in your own environment
How to access: KQL Query Helper runs inside ChatGPT — click Open in ChatGPT to start (a ChatGPT account is required). It's been used in 10K+ conversations.
Frequently asked questions
It assists users in creating, improving, and understanding Kusto Query Language queries for data exploration on Microsoft platforms.
User reviews
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