01
Monte Carlo
Helps data engineers ensure reliability and avoid costly data downtime. Features data catalogs, automated alerting, and observability across freshness, volume, schema, lineage, and distribution.
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02
IBM Databand
Proactive data observability platform that helps monitor and control data quality across pipelines, even when you can't control your sources. Integrated into IBM watsonx.data.
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Acceldata
Acceldata's Data Observability Cloud enables data teams to build and operate great data products, eliminate complexity, and deliver reliable data efficiently. Expanded into AI observability with its acquisition of Bewgle.
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Observe.AI
An Intelligent Workforce Platform that transforms contact centers by infusing AI into 100% of customer conversations, optimizing agent performance and automating repeatable workflows that drive revenue and retention.
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Datafold
Prevent data outages by identifying and fixing data quality issues before they reach production. Automated testing for data pipelines — no more broken dashboards, data syncs, or ML models.
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Soda
Allows everyone on your data team to find, analyze, and resolve data issues. This data observability platform brings everyone closer to the data, resulting in data products that you can trust.
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Honeycomb
Organizes your telemetry data for fast, accurate exploration from a unified UI regardless of data type, allowing you to find issues for a single user or complex patterns across multiple users and services.
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Great Expectations
A shared, open standard for data quality. Helps data teams eliminate pipeline debt through data testing, documentation, and profiling. The leading open-source framework for data validation.
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Bigeye
The data observability and AI Trust platform that helps teams measure, improve, and communicate data quality clearly at any scale. Trusted by USAA, Zoom, Hertz, and more.
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Cito Data
Snowflake-native data observability with column-level lineage at the core. Go beyond simple tests and respond to silent data issues before your business stakeholders notice them.
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Sifflet
Full data stack observability platform — monitor your data assets, metadata, and infrastructure all in one place. AI agents (Sentinel, Sage, Forge) automate root-cause analysis and remediation.
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Validio
The only data quality platform that scales with modern cloud-first organizations as they become increasingly data-driven. ML-powered monitoring with segmented anomaly detection. Raised $30M Series A (March 2026).
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Lightup
Intuitive, enterprise-grade data observability at the speed of light. Easily deployable, out-of-the-box data quality checks that help your teams hit data quality coverage goals 10× faster than legacy solutions.
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Splunk Lantern
Splunk's customer success guidance center — step-by-step use cases for security, observability, and data management. Refreshed in 2025 with joint Cisco+Splunk use cases for cross-domain visibility and AIOps.
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Anomalo
Automatically detect data issues and understand their root causes before anyone else. AI-powered anomaly detection for large-scale Snowflake and Databricks environments. Named a 2025 Gartner Peer Insights Strong Performer.
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