As data proliferates in modern organizations, technologies we use to move this data around have become more intricate. Data pipelines have become so complex that businesses have a hard time identifying the root cause of data issues, which leads to tremendous productivity losses.

This explains the recent explosion in the past two years of data quality and observability tools (internal, open-source, and SaaS). This new trend is not going to stop, and we'd rather bring visibility and structure soon.

At Coalesce Catalog, we believe the first step to structure Data Observability tools market, is more transparency. For that reason, we put up a list of all the Observability tools we heard of.

<aside> 💡 This list is still exploratory, may contain errors, or lack information. Please reach out to us, if you notice anything wrong: xavier.deboisredon@coalesce.io

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Get started with Data Observability Tools

<aside> 📢 In-depth analysis and evolution Read the full breakdown by generation and market analysis of data quality **here.**

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Deeper Dive into the Data Observability landscape

• What does each column in the benchmark below mean?

Data Observability Benchmark and Key Features

Additional benchmark resources

State of Data Quality Monitoring in 2021