Introducing TQL
The power behind Tenzir Pipelines
The Tenzir Query Language (TQL) is a concise, expressive way to build data pipelines. With a familiar, intuitive syntax, TQL makes data wrangling 10x more efficient than traditional point-and-click tools.
Whether you’re normalizing logs, enriching with threat intelligence, or automating security workflows, TQL streamlines the process, reducing complexity while increasing efficiency. Uplevel your security data operations game with the next generation of pipelines!
30-50%
Less data processing costs. Eliminates redundant processing and storage.
Zero
Tool sprawl. Reduces the need for multiple ETL, parsing, and enrichment tools.
Platform at a glance
The Tenzir Platform centrally manages your fleet of Tenzir Nodes. Whether you're a large enterprise or service provider, keep your deployment under control and keep growing.
Business Executives
Security & IT Teams
Data Engineers & DevOps
Procurement & Compliance
Benefits for Business Executives
Reduce costs, streamline operations, and increase ROI as a CFO, COO, or CEO.
Lower engineering costs
TQL automates complex data transformations, reducing the need for custom scripts and specialized personnel.
EXAMPLE
A security team using TQL instead of custom Python scripts reduced engineering time by 40%.
Reduce infrastructure costs
Optimized pipelines process data at scale without bloating compute/storage costs.
EXAMPLE
Customers often see 30-50% lower ingestion costs compared to legacy SIEM ingestion.
Process structured & unstructured data without multiple tools
TQL seamlessly handles both structured (logs, metrics) and unstructured (free text, network packets, forensic artifacts) data in a single pipeline, reducing the need for multiple tools.
EXAMPLE
Organizations replacing 3+ legacy ETL tools with TQL reduced processing overhead and licensing costs by 35%.
Faster time-to-value
Pre-built pipeline modules accelerate deployment, reducing time from weeks to hours.
EXAMPLE
A team replacing a legacy SIEM preprocessing layer with TQL achieved full migration in under a week.