Matano
Open source cloud-native SIEM built on a security data lake for AWS
About Matano
Matano is an open source cloud-native security data lake platform and SIEM alternative built for AWS. It normalizes unstructured security logs into a structured real-time data lake, enabling petabyte-scale threat hunting, detection, and response with serverless architecture and zero vendor lock-in.
Pros & Cons
Pros
- Fully open source with no vendor lock-in using Apache Iceberg and ECS open standards
- Extremely cost-effective petabyte-scale storage on S3 compared to traditional SIEMs like Splunk
- Serverless architecture means zero infrastructure management and elastic scaling
- Detection-as-Code approach with Python and Sigma rule support enables version-controlled security workflows
- Deep native AWS integration across the entire ecosystem
- SPL-compatible query language eases migration from Splunk
Cons
- AWS-only — not available for Azure, GCP, or on-premises deployments
- Small team (2-person startup) which may raise concerns about long-term support
- Self-hosted version requires AWS expertise to deploy and manage
- Limited G2 or peer review coverage compared to established SIEM vendors
- Managed Cloud SIEM pricing is not publicly available
Key Features
Security Data Lake
Normalize unstructured security logs into a structured real-time data lake in your own AWS account using Apache Iceberg and ECS standards
800+ Correlation Rules
Out-of-the-box correlation rules tuned to your environment for real-time threat detection and remediation
Detection-as-Code
Build real-time detections using Python with support for automatic import of Sigma detection rules
50+ Log Source Integrations
Hundreds of prebuilt integrations and parsers for automatic security data ingestion from all major security products
Splunk SPL Compatible Search
Intuitive search language compatible with Splunk SPL for searching data and building detection rules across the data lake
Log Transformation
Custom VRL (Vector Remap Language) scripting to parse, enrich, normalize, and transform logs during ingestion without managing servers
Petabyte-Scale Storage
Lowest storage costs possible using S3 object storage with unlimited data retention
Cloud Security & Detection
Deep integrations across AWS ecosystem spanning data, infrastructure, network, and IAM for cloud detection and response at scale
Fully Serverless Architecture
Zero-ops serverless design on AWS that scales elastically without infrastructure setup or maintenance
Pricing
- Self-hosted on AWS
- Security data lake
- 50+ log source integrations
- Detection-as-Code with Python
- Apache Iceberg open format
- Community support
- Managed platform
- 800+ correlation rules
- Splunk SPL compatible search
- Unlimited data retention
- Petabyte-scale analytics
- Enterprise support
- SOC modernization tools
Best For
SOC Modernization
Replace legacy SIEM solutions like Splunk or Elastic with a cloud-native data lake platform that eliminates cost and scalability limitations
Cloud Security Monitoring
Monitor and detect threats across your entire AWS environment with deep integrations spanning data, infrastructure, network, and IAM
Threat Hunting at Scale
Hunt for threats across petabytes of security data with low-cost retention and fast search using Splunk-compatible query language
SIEM Augmentation
Complement an existing SIEM by offloading high-volume log storage and analytics to a cost-effective security data lake
API Security
Detect and respond to complex API attacks and fraud by building an API data lake with subsecond search capabilities
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