AI and Machine Learning (ML) technologies’ rising adoption has revolutionized how enterprises use data, elevating the technologies’ significance. Today, data is integrated into every aspect of operations to facilitate decision-making and drive innovation, increasing data access and consumption. However, the ever-evolving landscape of high-volume data and intricate interdependencies between platforms have highlighted challenges for data teams. These challenges hinder teams’ visibility into data movement, quality, reliability, and operational costs.
To address these challenges, enterprises are adopting data observability. It offers end-to-end data stack visibility, enabling organizations to proactively identify and diagnose data-related issues and optimize the underlying data’s overall health.
This compendium provides accurate, comprehensive, and fact-based snapshots of 20 data observability technology providers. Each profile offers a detailed overview of the provider’s operations, product capabilities, investments, integrations, and market success.
Scope
- All industries and geographies
- This assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading data observability technology providers, client reference checks, and an ongoing analysis of the data observability market
Contents
In this report, we examine:
- The data observability technology providers’ landscape
- Enterprises’ sourcing considerations
- Providers’ leadership, case studies, product capabilities, and presence across geographies and industries
- Key investments and integrations
- Providers’ key strengths and limitations
Membership(s)
Data & Analytics
Sourcing and Vendor Management
