To process data with Kusto Query Language (KQL) queries today, users generally have to upload their data to storage first and then query it. The Kql Tools eliminate this need by processing event streams with KQL queries as events arrive, in real-time.
| Command Line Tool | Python Module | PowerShell Module |
|---|---|---|
| Documentation | Documentation | Documentation |
| Downloads | Downloads | Downloads |
| Demo | Demo | Demo |
In addition to processing CSV files, the KQL tools support the following input sources:
| Windows | Linux | |
|---|---|---|
| OS Logs | WinLog - logs seen in EventVwr or log file(s) on disk | Syslog - the OS log |
| High-Volume Tracing | Etw - Event Tracing for Windows | EBPF - dynamic interception of kernel and user mode functions (Coming soon) |
| Real-Time Output | File Output | Upload Output |
|---|---|---|
| json- Results printed to standard output in JSON format | json file - Results written to file in JSON format | adx - Upload to Kusto (Azure Data Explorer) |
| table - Results printed to standard output in table format | blob - Upload as JSON objects to BlobStorage |
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