Matano is an open-source, serverless security information and event management (SIEM) platform designed as a high-scale, low-cost alternative to traditional SIEMs like Splunk and Elastic. It enables security teams to ingest, normalize, and analyze petabytes of security and log data from various cloud, SaaS, host, and network sources by building a vendor-agnostic security data lake on AWS. Matano uses an open table format (Apache Iceberg) and stores data in optimized Parquet files on S3, allowing flexible querying with engines like Athena, Snowflake, and Spark, avoiding vendor lock-in. It supports detection-as-code using Python and SQL for real-time alerting and advanced correlation. Matano is fully serverless, uses Rust and Apache Arrow for performance, and integrates with visualization tools such as Tableau and Grafana. It targets modern security teams seeking scalable, cost-effective cloud-native SIEM solutions with open standards and extensibility.
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