Features, pricing, ratings, and pros and cons, compared head to head.
Matano Open Source Security Data Lake is a free detection engineering tool. Sublime Security Sublime Rules is a free detection engineering tool by Sublime Security. Compare features, ratings, integrations, and community reviews side by side to find the best detection engineering fit for your security stack. Independent and vendor-neutral: we never sell rankings.
Based on our analysis of core features, here is our conclusion:
Matano Open Source Security Data Lake
Security teams building detection pipelines on AWS who want to escape vendor lock-in will get the most from Matano Open Source Security Data Lake; its Detection-as-Code framework lets you write detection rules once and run them across any log source without rewrites. With 1,610 GitHub stars and a genuinely open architecture using Parquet and Apache Iceberg, you're not betting on a single vendor's data model. This is a poor fit for organizations that need a turnkey SIEM with built-in playbooks and out-of-the-box compliance dashboards; Matano is a platform you architect, not a product you adopt.
Sublime Security Sublime Rules
Security teams running Microsoft 365 or Google Workspace who need to stop BEC and credential phishing without adding another paid platform should start with Sublime Security Sublime Rules. The detection logic is built on Message Query Language rules that actually catch HTML smuggling and OneNote malware where signature-based filters fail, and you get DLP discovery rules included at zero cost. Skip this if your org needs automated response or investigation workflows; Sublime Rules is detection-only and assumes you have a process to act on what it finds.
An open source cloud-native security data lake platform for AWS that normalizes security logs into structured data with Detection-as-Code capabilities and vendor-neutral storage using open standards.
Open-source detection rules for email attacks like BEC, phishing, and malware
Access NIST CSF 2.0 data from thousands of security products via MCP to assess your stack coverage.
Access via MCPNo reviews yet
No reviews yet
Explore more tools in this category or create a security stack with your selections.
Common questions about comparing Matano Open Source Security Data Lake vs Sublime Security Sublime Rules for your detection engineering needs.
Matano Open Source Security Data Lake: An open source cloud-native security data lake platform for AWS that normalizes security logs into structured data with Detection-as-Code capabilities and vendor-neutral storage using open standards..
Sublime Security Sublime Rules: Open-source detection rules for email attacks like BEC, phishing, and malware. built by Sublime Security. Core capabilities include Detection rules for email attacks, Business email compromise (BEC) detection, Credential phishing detection..
Both serve the Detection Engineering market but differ in approach, feature depth, and target audience.
Matano Open Source Security Data Lake is open-source with 1,610 GitHub stars. Sublime Security Sublime Rules is developed by Sublime Security. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
Matano Open Source Security Data Lake and Sublime Security Sublime Rules serve similar Detection Engineering use cases: both are Detection Engineering tools, both cover Open Source. Key differences: Matano Open Source Security Data Lake is open-source. Review the feature comparison above to determine which fits your requirements.
Get strategic cybersecurity insights in your inbox