Data teams face rising complexity, from hybrid and multi-cloud pipelines to growing AI workloads. Hidden data failures, cost overruns, compliance breaches, and bad downstream decisions are becoming untenable. As a result, data observability is no longer optional; it is now a strategic imperative. Modern platforms now leverage ML to detect anomalies, monitor schema drift, and trace lineage across structured tables and unstructured data sources.
While enterprises are increasingly embedding gen AI across platforms through anomaly triaging recommendations and monitor suggestions, capabilities around automated anomaly resolution remain nascent and require strong governance and human oversight. As these features mature, data pipelines are expected to evolve from passive monitoring setups to intelligent systems that proactively manage and resolve issues, enhancing resilience in AI-driven data environments.
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Data Observability Technology Provider PEAK Matrix® Assessment 2025
In this report, we assess 19 data observability technology providers featured on the Data Observability Technology Providers PEAK Matrix® 2025. Each profile comprehensively highlights the provider’s key strengths and limitations.
Scope
- All industries and geographies
- This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, 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:
- Data observability technology provider landscape
- Key drivers and themes influencing data observability adoption
- Data Observability Technology Provider PEAK Matrix® characteristics
- Enterprise sourcing considerations
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Data Observability Technology Provider PEAK Matrix® Assessment 2024
Scope
- All industries and geographies
- The 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:
- Data observability technology provider landscape
- Data Observability Technology Provider PEAK Matrix® characteristics
- Enterprise sourcing considerations
READ ON
What is the PEAK Matrix®?
The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.
