Best ETL Software for Amazon CloudWatch

Compare the Top ETL Software that integrates with Amazon CloudWatch as of October 2025

This a list of ETL software that integrates with Amazon CloudWatch. Use the filters on the left to add additional filters for products that have integrations with Amazon CloudWatch. View the products that work with Amazon CloudWatch in the table below.

What is ETL Software for Amazon CloudWatch?

ETL software is used to extract, transform and load data between multiple databases in order to organize and structure it for further analysis. Compare and read user reviews of the best ETL software for Amazon CloudWatch currently available using the table below. This list is updated regularly.

  • 1
    Logstash

    Logstash

    Elasticsearch

    Centralize, transform & stash your data. Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash." Logstash dynamically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time. Easily ingest from your logs, metrics, web applications, data stores, and various AWS services, all in continuous, streaming fashion. Download: https://sourceforge.net/projects/logstash.mirror/
  • 2
    TROCCO

    TROCCO

    primeNumber Inc

    TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.
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