Automated Data Management for Cloud Data Warehouses

Snowflake

Revefi enhances data operations by offering advanced features such as data quality management, performance monitoring, and cost optimization. For Snowflake, Revefi delivers real-time insights into data usage and system performance, enabling you to proactively address issues, maintain data accuracy, and optimize costs. With capabilities like warehouse optimization and auto-resizing, automatic data monitoring, and identifying credit-saving opportunities, Revefi helps Snowflake users boost their data governance and operational efficiency, ensuring maximum value from their Snowflake environments.

Optimize and auto resize warehouses
Automatic Data monitoring
Identify credits savings opportunities

Databricks

With Revefi you gain automated data quality checks, performance monitoring, and cost analysis, allowing you to gain real-time insights into your Databricks environment. You can identify and resolve data issues quickly, optimize performance, and manage costs effectively, enhancing overall data governance and operational efficiency.

Automatic Data Observability monitoring
Identify DBU usage at multiple levels
Provide impact analysis lineage

AWS Redshift

Revefi provides real-time data quality checks, performance tracking, and cost analysis, all designed to help gain valuable insights into your data operations. By utilizing Revefi with Redshift, you can proactively identify and resolve data issues, optimize performance, and manage data-related expenses more effectively, thereby improving overall data governance andoperational efficiency.

Automatic Data Observability monitoring
Show performance by cluster
Builds a robust historical model on deep historical data

GCP BigQuery

Revefi enhances data operations by offering robust capabilities for monitoring, optimizing, and managing data. Key features include advanced data quality checks, performance monitoring, and comprehensive cost analysis with real-time insights into data usage, enabling organizationsto optimize their BigQuery environments, proactively identify and resolve data issues, and control costs effectively. You can improve data governance, boost operational efficiency, and maximize the return on your data investments.

Automatic Data Observability monitoring
Surface costly unused tables
Discover slot utilization

Maximize data ROI for Snowflake, Databricks, Redshift, and BigQuery

Snowflake

Databricks

AWS Redshift

GCP BigQuery

Questions & Answers