Looking for the best data observability software in 2025
Hello, G2 community! I am doing some intro research on data observability software solutions. I have a six-month timeline to choose a new solution. I’ve spent time researching G2’s category and refined my list down to five products. Can anyone give me some direction on picking the best data observability software? My list is below.
Monte Carlo: Monte Carlo is a leading data observability platform designed to help organizations trust their data by proactively identifying and resolving data issues. It monitors data pipelines, detects anomalies, and provides insights to prevent data downtime. Monte Carlo's machine learning capabilities enable it to automatically identify data issues, assess their impact, and notify relevant stakeholders, facilitating faster resolution.
Metaplane: Metaplane is an end-to-end data observability tool that assists data teams in detecting and addressing data issues promptly. It offers features like schema change detection, freshness monitoring, and anomaly detection, enabling teams to maintain data quality effectively. Metaplane's user-friendly interface and integration capabilities make it a popular choice among small to mid-sized businesses.
Acceldata: Acceldata provides a comprehensive data observability platform that offers visibility into data pipelines, infrastructure, and operations. It assists organizations in managing data reliability, performance, and cost optimization. Acceldata's multi-dimensional observability covers data quality, pipeline performance, and infrastructure health, making it suitable for large-scale data environments.
Sifflet: Sifflet is a data observability solution designed to help data engineers and consumers gain complete visibility into their data stacks. It offers features like data quality monitoring, anomaly detection, and lineage tracking, enabling proactive data issue management. Sifflet's platform can be deployed as a SaaS solution, providing flexibility for various organizational needs.
Soda: Soda is a data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues. It unites data producers and consumers in defining and maintaining data quality standards. Soda's features include data testing, monitoring, and alerting, facilitating collaboration across teams to ensure reliable data.
Am I missing any products that you enjoy using? Let me know!
