Matano: The Open Source Security Data Lake Built for AWS

Matano: The Open Source Security Data Lake Built for AWS
Photo by Scott Rodgerson / Unsplash

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In today’s ever-evolving threat landscape, security teams are under immense pressure to detect, respond to, and mitigate threats faster than ever. Traditional SIEMs often fall short they're expensive, rigid, and struggle with the scale and complexity of modern cloud environments.

Enter Matano, is an open source, cloud-native security data lake built specifically for AWS. Matano empowers security teams by combining the flexibility of a data lake with the power of detections-as-code, all while eliminating vendor lock-in and drastically reducing costs.

If you're familiar with our previous posts on tools like OpenSearch , Sigma , or Vector , then you’ll love what Matano brings to the table, especially if you’re looking for a scalable, cost-effective, and flexible alternative to commercial SIEM platforms.

Why Matano Matters

Security operations generate massive amounts of data from dozens of sources, firewalls, EDR agents, identity systems, cloud services, SaaS apps, and more. But this data is only useful if it can be:

  • Ingested efficiently
  • Structured in a meaningful way
  • Analyzed quickly and accurately
  • Used to detect real threats in real time

That’s where Matano shines. It's not just another log management tool, it’s a unified platform that combines ingestion, transformation, detection, alerting, and analytics into a single, open source solution.

Key Features of Matano

1- Unified Security Data Lake

Ingest and store all your security logs in a structured, scalable, and searchable format using Apache Iceberg as the open table format. No need to worry about indexing, retention policies, or scaling infrastructure, Matano runs serverless on AWS.

2- 1000+ Pre-Built Integrations & Parsers

Matano supports over 1000+ pre-built integrations out of the box, including popular security tools like CrowdStrike, Okta, AWS CloudTrail, SentinelOne, and more.

Logs are automatically parsed, enriched, and normalized using the Elastic Common Schema (ECS) .

3- Realtime Detection-as-Code with Python

Write powerful detection logic using Python , leveraging event streams in real time. You can also import Sigma rules directly into Matano, making it easy to operationalize community-driven threat detection content.

4- Custom Log Transformation with VRL

Use Vector Remap Language (VRL) to parse, enrich, and transform logs during ingestion. All without managing any servers, Matano handles everything in a fully serverless architecture.

5- Bring Your Own Analytics

Since Matano stores data in Apache Iceberg, you can query it directly using AWS Athena , Snowflake , Trino , Spark , or any other Iceberg-compatible engine. No data duplication or export required.

6- Vendor-Neutral Architecture

Say goodbye to proprietary formats and vendor lock-in. With open schema standards (ECS) and open table formats (Iceberg) , you own your data — forever.

7- 800+ Out-of-the-Box Detection Rules

Get up and running fast with hundreds of pre-built correlation rules that span across endpoints, networks, and cloud environments. These rules are continuously updated and tuned to reduce false positives.

8Serverless and Cost-Efficient

Built natively on AWS, Matano uses serverless technologies like Lambda, S3, and Kinesis, allowing you to scale effortlessly while keeping costs low. We're talking up to a 6x reduction in TCO compared to traditional SIEMs.

Benefits for DevOps and Security Teams

  • Reduce SIEM Costs : Move away from expensive per-GB ingestion models. Store everything at a fraction of the cost.
  • Augment Existing SIEMs : Use Matano alongside your current SIEM for deeper context and enrichment during investigations.
  • Faster Threat Detection : Leverage Python-based detection-as-code and Sigma rule integration to catch threats earlier.
  • Zero Infrastructure Management : Everything is serverless, no clusters, no VMs, no overhead.
  • Seamless Integration with AWS : Designed from the ground up for AWS, ensuring optimal performance and compatibility.
  • Modernize Your SOC Without Retraining : Use a search language similar to Splunk SPL so your team can get up to speed instantly.

Matano represents a new era in security analytics — one that embraces open standards, cloud-native design, and developer-first workflows. Whether you're a small startup or a large enterprise, Matano gives you the power to build a next-gen SOC without breaking the bank or sacrificing flexibility.

We’ve covered many tools in the past — from logging pipelines to detection frameworks — but Matano is unique in how it unifies so many capabilities under a single, open source umbrella.

If you're tired of bloated SIEMs, costly licensing, or inflexible architectures, it’s time to give Matano a look.

👉 Join the Waitlist and be among the first to try Matano when it launches.

Resources

Matano | Cloud native SIEM
Modern cloud native SIEM
GitHub - matanolabs/matano: Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS - matanolabs/matano

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