We are absolutely thrilled to share with you all that Coralogix has been recognized as a Leader in the Gartner® Magic Quadrant™ for Observability Platforms.
When we architected Coralogix around in-stream processing, open-format storage, and index-free query, we weren’t optimizing for where observability stood at the time. We were building for the world it was heading toward. One where data volumes explode, where AI runs on telemetry, and where the data layer your software produces becomes the most strategically important data in your business.
That world is now here.
When we bet on in-stream data processing, most traditional observability vendors were still building around the same basic assumption: collect everything, index everything, and lock it in proprietary storage you’d pay to query forever.
We saw what other observability vendors were doing and thought it was the wrong direction. Not because indexing was bad, but because it was about to become unsustainable. Data volumes were growing faster than budgets. The economics didn’t work at scale. And with AI on the horizon, we knew the gap between what teams could collect and what they could afford to store and query was about to get a lot wider.
So we built differently. A streaming architecture that processes and enriches data before it ever touches storage. An open-format data layer on object storage that customers own. A query engine that runs directly against archived data without rehydration or reindexing. And a cost optimizer that lets customers declaratively control where their data goes based on value, not vendor defaults.
For a long time that was a harder sell. The category had established norms. Customers knew what observability was supposed to look like.
We held the conviction anyway.
AI changed everything. Data volumes didn’t just grow. They accelerated. Storage costs followed. Teams that were already stretched found themselves paying more to see less, managing more dashboards, triaging more alerts, and somehow ending up with less clarity than before.
That’s the observability gap. More data, more tooling, less signal. SREs we speak to describe the same thing: the stack keeps expanding but the answers don’t get easier to find.
The trade-off that traditional platforms were built on was simple: index everything, or sample aggressively and drop the rest. This stopped working for the customers we were already serving. And a new generation of customers started looking for a different answer.
They found us. And the architecture we’d built years earlier was exactly what they needed.
Gartner listed us competitively across seven Use Cases: 6th in SRE, 5th in IT Operations, 5th in DevOps Engineering, 7th in Software Engineering, 7th in AI Engineering, 5th in Business Insights. And 3rd in Cost Optimization, our strongest placement, among other 19 listed observability vendors.
We feel this acknowledgement tells the real story. These aren’t adjacent categories. SRE and Business Insights are on opposite ends of the organisation. Appearing credibly across all of them is what a unified platform looks like in practice.
To us, our ranking for Cost Optimization Use Case is the sharpest edge. No black-box pricing. No surprise bills. You define the value tier of your data, we enforce it. Customers are cutting observability costs by up to 70% while expanding their coverage.
That’s not a feature. That’s the architecture working.
Our median response time is under 30 seconds, resolution within the hour, around the clock. If your engineers have a production incident at 3am, they get a real person with real answers. Not a ticket queue.
We built 24/7 support because we believe the platform isn’t just the software. It’s a partnership.
Olly, Coralogix’s AI-native observability agent, lets anyone describe an issue in plain language and get immediate, actionable insights pulled straight from your telemetry data, turning anyone into an observability expert. For AI agents and IDE-based tools that need direct, conversational access to your data, the Coralogix MCP server connects tools like Cursor or Claude to your observability platform for simple, chat-style tasks: querying logs, metrics, and traces, investigating an issue, and getting fix suggestions on the spot. For deeper, automated work down at the data layer, the Coralogix CLI lets you or your agents run structured operations directly from the command line or any agentic workflow, querying data, managing quotas, building dashboards, defining alerts, all without the web interface involved. The reception of our AI tooling has been outstanding, driving extensive automation for our customers while drastically reducing MTTR.
Most organizations are still at the early stages of what’s possible here: engineering-level intelligence, production alerting, incident response. The most truthful, real-time, high-dimensional data any company has about itself is the data its software produces. Our job is to make that data accessible to everyone who needs it, wherever they are, however they work. That’s the future, and that’s where we’re taking this: business-level intelligence.
In just our second year of being evaluated in this industry recognition, we were recognized as a Visionary in the 2025 report, and this year we are named a Leader.
To us, this recognition reflects the pace of development here at Coralogix. The team is moving fast because the direction has been clear for years. We knew what we were building and why. We feel the market is just now fully agreeing with us.
To our customers: none of this happens without your trust. You gave us the opportunity to prove our architecture at scale. That belief is what drives the pace of what we ship.
Coralogix still feels like a small startup fighting against giants. We probably always will.
Much more to come.
Get your complimentary copy of the 2026 Gartner® Magic Quadrant™ for Observability Platforms here.
Gartner delivers actionable, objective insight to executives and their teams. Its expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities. The Gartner Magic Quadrant evaluates vendors based on their Ability to Execute and Completeness of Vision. We are honored to be included among the recognized vendors in this important report. Learn more about the Magic Quadrant.
Disclaimers
Gartner, Magic Quadrant for Observability Platforms, Padraig Byrne, Martin Caren, D.B. Cummings, Neil Young, 13 July 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
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