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Matano
BySamroseSamrose

Matano

#468in Databases
Discussions0
Followers2
OverviewDiscussionsAdoptionAlternativesIntegrations
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What is Matano?

Matano is the open source security lake platform for AWS. It lets you ingest petabytes of security and log data from various sources, store and query them in a data lake, and create Python detections as code for realtime alerting.

Matano is a tool in the Databases category of a tech stack.

Key Features

Collect data from all your sourcesIngest, transform, normalize log dataStore data in S3 object storageApache Iceberg Data lakeServerlessDetections as code

Matano Pros & Cons

Pros of Matano

No pros listed yet.

Cons of Matano

No cons listed yet.

Matano Alternatives & Comparisons

What are some alternatives to Matano?

OpenSSL

OpenSSL

It is a robust, commercial-grade, and full-featured toolkit for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols. It is also a general-purpose cryptography library.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Logback

Logback

It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.

SLF4J

SLF4J

It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Serilog

Serilog

It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms.

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Matano Integrations

Amazon S3, Apache Spark, Python, Kafka, Amazon Athena are some of the popular tools that integrate with Matano. Here's a list of all 5 tools that integrate with Matano.

Amazon S3
Amazon S3
Apache Spark
Apache Spark
Python
Python
Kafka
Kafka
Amazon Athena
Amazon Athena
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