Monte Carlo Alternatives (January 2026)

Monte Carlo’s Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.

4.4/5

474+ reviews

Reviewed on:

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1.
Data Observability Platform for Modern Data Teams | Metaplane
https://metaplan
.dev/

Metaplane is a data observability platform that helps data teams know when things break, what went wrong, and how to fix it.

2.
Enterprise Data Observability Platform | Acceldata
https://www.acceldat
.io/

Discover Acceldata's data observability platform to improve data reliability, optimize costs, and enhance operational efficiency across hybrid environments.

3.
Data Observability Platform | Unravel Data
https://www.unraveldat
.com/

Go beyond data observability, to AI-powered actionability for optimization and automated governance.

4.
Kensu | Observe data where it counts
http://www.kens
.io/

Kensu is a Data Observability solution that helps monitor data in real-time, cut resolution time in half, and restore trust in data.

5.
Soda Data Quality Platform
https://www.sod
.io/

Embed tests into your workflows and monitor data quality health any way you like–through out-of-the-box observability or declarative testing. Data Quality Management for Data Engineers, Producers, and Consumers.

6.
Elementary Data | dbt-native data observability
https://www.elementary-dat
.com/

The only data observability solution integrated into your dbt pipelines. Monitor data pipelines in minutes, in your dbt project. Elementary is built for and trusted by 5000+ analytics and data engineers.

7.
Sifflet | Full Data Stack Observability for Data Engineers and Consumers
https://www.siffletdat
.com/

Sifflet allows you to get full visibility over data, metrics, metadata and lineage. Get ahead of data issues before they become business catastrophes.

8.
Datafold - Automated testing for data engineers
https://www.datafol
.com/

Datafold is the fastest way to validate dbt model changes during development, deployment & migrations. Compare data differences between development and production data with Datafold's Data Diff. Datafold enables data teams to ship faster and leave tedious QA behind.

9.
Anomalo | Automated AI Data Quality Software
https://www.anomal
.com/

Anomalo's Data Quality Software uses automated AI to detect data quality issues and understand their root causes, before anyone else. Get started today!