Gartner Magic Quadrant for Observability Platforms

Gartner, Inc. Magic Quadrant for Observability Platforms. Gregg Siegfried, Matt Crossley, etl. 7 July 2025.

Modern observability platforms promise insight, but often at the cost of control, runaway spend, or vendor lock-in. In the 2025 Gartner® Magic Quadrant™ for Observability Platforms, we feel Gartner evaluates the state of the market and discusses emerging architectural shifts that challenge the status quo. If you’re operating large-scale Kubernetes, cloud-native, or regulated environments, in our opinion we believe this research helps you understand which approaches are built for today’s operational realities and which are not.

groundcover is recognized by Gartner as an Honorable Mention for organizations that want deep observability without sending their telemetry outside their perimeter. With a Bring Your Own Cloud (BYOC) Observability architecture built on ClickHouse and VictoriaMetrics, groundcover gives platform and SRE teams full control over data location, performance, and cost while still delivering modern, high-cardinality observability at scale.Download the full Gartner report to see how observability platforms are evolving, what tradeoffs Gartner discusses across architectures, and why control over telemetry data is becoming a critical differentiator for engineering-led organizations.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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“We cut our costs in half and now have full coverage in prod, dev, and testing environments where we previously had to limit it due to cost concerns.”

Sushant Gulati

Sr Engineering Mgr, BigBasket

“Observability used to be scattered and unreliable. With groundcover, we finally have one consolidated, no-touch solution we can rely on.“

ShemTov Fisher

DevOps team lead
Solidus Labs

“We went from limited visibility to a full-cluster view in no time. groundcover’s eBPF tracing gave us deep Kubernetes insights with zero months spent on instrumentation.”

Kristian Lee

Global DevOps Lead, Tracr

“The POC took only a day and suddenly we had trace-level insight. groundcover was the snappiest, easiest observability platform we’ve touched.”

Adam Ceresia

Software Engineering Mgr, Posh

“All vendors charge on data ingest, some even on users, which doesn’t fit a growing company. One of the first things that we liked about groundcover is the fact that pricing is based on nodes, not data volumes, not number of users. That seemed like a perfect fit for our rapid growth”

Elihai Blomberg,

DevOps Team Lead, Riskified

“We got a bill from Datadog that was more then double the cost of the entire EC2 instance”

Said Sinai Rijcov,

DevOps Engineer at EX.CO.

“We ditched Datadog’s integration overhead and embraced groundcover’s eBPF approach. Now we get full-stack Kubernetes visibility, auto-enriched logs, and reliable alerts across clusters with zero code changes.”