Our Tenzir Query Language (TQL) is a pipeline language that works
by chaining operators into data flows. When we designed TQL, we specifically
studied Splunk's Search Processing Language (SPL) , as it generally leaves
a positive impression for security analysts that are not data engineers. Our
goal was to take all the good things of SPL, but provide a more powerful
language without compromising simplicity. In this blog post, we explain how the
two languages differ using concrete threat hunting examples.
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SPL TQL versus