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We’re thrilled to announce that Revefi has been recognized as a Representative Vendor in the 2024 Gartner® Market Guide for Data Observability Tools.
The Gartner 2024 Market Guide for Data Observability Tools, discusses how Data Observability tools offer a robust and holistic view of the health of data, enabling users to observe changes, discover unknowns and take actions as needed. This Market Guide aims to help data and analytics leaders on how to leverage the data observability market's offerings.
Revefi Journey
When my co-founder Shashank and I started Revefi three years ago, our intent was to leverage our deep data, systems & AI experience building Automated Data Quality Platform, Automated SQL Performance Engine, AI & ML Powered Data Insights Recommendations Engine, Self managing Distributed, Low Latency In-memory Data Warehouse at companies like Microsoft, Google, Meta and ThoughtSpot to fundamentally reshape the enterprise data space.
So we built a modern, versatile, comprehensive Data Observability platform to help data engineers, data leaders, data administrators to solve their Data Quality, Data Pipeline, Compute, Utilization, Performance and Spend use cases. Our platform supports the key features and observation categories identified in the Market Guide.
Revefi is revolutionizing the enterprise data space, enabling data practitioners to derive value within five minutes! Our innovative AI-first approach makes this breakthrough possible without the need for proof of concepts, budget approvals or anything beyond metadata access to get started and add value. Our zero-friction deployment model has captured the attention and adoption of customers in the U.S., and the APAC and EMEA regions.
We have seamlessly combined AI & ML with the power of GenAI to bring the latest capabilities to data practitioners. Revefi acts as your teammate from alerting to recommendations and then to actions on behalf of data teams as and when needed.
Revefi Solutions
Our platform is versatile and helps data practitioners solve a wide range of Data Observability use cases - Data Quality, Data Warehouse Spend, Performance and Usage optimization. It automatically balances performance and spend to suit your use cases. It includes query optimization recommendations, table clustering and partition recommendations.
Ensure good data quality
We identify anomalies and alert you right away. Your data team won’t be the last to know about broken analytics or bottlenecks.
Maximize data performance
Improve your data quality and eliminate downtime. When performance trends the wrong way, you’ll be the first to know. We help you connect the dots between data usage and resource allocation and act quickly.
Manage data spend efficiently
Reduce and optimize costs, and allocate resources effectively. We slice and dice your spend areas by warehouse, user, and query. When spending trends the wrong way, you get a notification and can act upon it.
Optimize data usage
Get insights on underutilized data and its impact on your business value. Revefi constantly watches out for waste and surfaces opportunities for you to better rationalize usage with resources.
