How to Monitor Databricks Tables at Scale
May 7, 2025
May 7, 2025
Learn how to take the guesswork out of data quality monitoring on Databricks, using Soda’s AI-powered anomaly detection and metric monitoring.
From Detection to Resolution
The AI-native data quality platform
From Detection to Resolution
The AI-native data quality platform
From Detection to Resolution
The AI-native data quality platform
Trust you data, every time
Leverage the best AI for data quality
Unite Business and Engineering teams in a shared workflow
Securely isolate and fix bad data issues
You are in good company
The only end-to-end data quality platform on databricks
Leverage the Best AI for Data Quality
Proprietary metrics monitoring algorithm for fewer false positives
Flag anomies at the row/record level with high precision
Process 1.1 billion rows in 64 seconds
Unite Business and Engineering Teams
Collaborative workflows for proposals and approvals
Shift-left governance with data contracts
Quality at scale with data standards
Securely isolate and fix bad data issues
Failed records stored in your data warehouse of choice
Comprehensive traceability with log and anomalous record capturing
Security by design with data never leaving your cloud environment
Start trusting your data. Today.
Soda fixes data. End-to-end. From detection to resolution.
All automated with AI.
Request a demo
Start trusting your data. Today.
Soda fixes data. End-to-end. From detection to resolution.
All automated with AI.
Request a demo
Start trusting your data. Today.
Soda fixes data. End-to-end. From detection to resolution.
All automated with AI.
Request a demo
You are in good company
You are in good company
You are in good company
Case studies
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Case studies
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Solutions
Case studies
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Solutions
Company