Brand Intelligence Graph
Company Overview
About Coralogix
Coralogix was founded in 2015 with a mission to make observability accessible and economical for engineering teams at any scale, solving the core problem that conventional log management and monitoring tools become prohibitively expensive as data volumes grow. The company's founders recognized that the industry's dominant pricing model — charging per gigabyte ingested and stored — created a perverse incentive for teams to reduce logging coverage to manage costs, which directly undermined the reliability and debuggability of their systems. Coralogix's core technology separates data ingestion from storage, enabling teams to analyze all their data in real time without paying to store everything at full fidelity.
Business Model & Competitive Advantage
Coralogix's platform provides unified observability across logs, metrics, and traces, with AI-powered anomaly detection, root cause analysis, and alerting built into the core product. In 2024 the company launched Olly, an AI observability agent that interprets telemetry data, surfaces insights in natural language, and accelerates incident response without requiring deep platform expertise. Coralogix also acquired Aporia, an AI model monitoring company, extending its platform into LLMOps and enabling observability for machine learning pipelines alongside traditional infrastructure. The platform serves engineering, DevOps, and security operations teams at cloud-native companies and enterprises.
Competitive Landscape 2025–2026
Coralogix raised a $115 million Series E at a valuation exceeding $1 billion, bringing total funding to over $250 million. The company serves thousands of customers globally and competes with Datadog, Elastic, and Splunk in the observability market. Its differentiated pricing model — which routes data to different storage tiers based on query frequency and business value — and its AI-powered analysis capabilities position Coralogix as a cost-efficient alternative to incumbents for high-volume, cost-sensitive engineering teams.
Recent Activity
View all →by Shailendra Chauhan, Sr. Director, Redpin | Clarence Selestin, Sr. SRE Manager, Redpin | Shubham Sharan, Technical Account Manager, Coralogix Redpin is on a mission to simplify life’s most important payments. As the parent company behind Currencies Direct and TorFX, Redpin connects over half a million people and businesses across 235 territories, moving more than […] The post How Redpin achieved full-stack observability across a £10 billion international payments platform appeared first on Coralogix .
Coralogix and Sumo Logic are two different answers to the same observability platform decision. Where Coralogix processes telemetry in flight, stores it in your own Amazon Simple Storage Service (S3) bucket, and prices on data ingested, Sumo Logic keeps data in vendor-managed storage and, under its Flex model, bills for data scanned at query time. […] The post Coralogix vs Sumo Logic: Support, Pricing, Features & More appeared first on Coralogix .
Coralogix and New Relic both cover the full observability surface, but they charge for it and store it in different ways. One prices purely on data ingested and writes telemetry to a bucket you own, while the other combines ingest pricing with per-user licensing and retains data in its own backend. This guide covers how […] The post Coralogix vs New Relic: Comparison Guide (2026) appeared first on Coralogix .
Most teams judge their AI coding agent on two things: the monthly bill and a feeling. The bill tells you what you spent and the feeling tells you whether it seems to be helping, but neither one tells you what the agent actually did. As these tools move into the critical path of how software […] The post Where did all my Claude Code tokens go? appeared first on Coralogix .
There was a time when “Opus” meant a classical composition and “Sonnet” was fourteen lines of Shakespeare you definitely did not read before the test. Now they’re model tiers, and every new release rewrites the economics of your engineering org whether you’re ready or not.  Currently, your monthly total hides the crucial information you need […] The post The AI bill arrived. Now what? appeared first on Coralogix .
OpenTelemetry won the architectural standards battle. At scale, though, telemetry breaks more like plumbing than code. It breaks quietly, across a graph, with a blast radius you don’t understand until it’s expensive. With over 65% of organizations now running more than 10 collectors in production, hybrid deployments across Kubernetes and VMs are accelerating fast. Telemetry […] The post The Data Plane Reality: OTel Scales, While Topology UX Lags appeared first on Coralogix .
The race to better AI-assisted observability has been a race for bigger and better models. But intelligence was never the real bottleneck. Structure and context were. AI doesn’t fix data chaos. It inherits it. The symptoms are everywhere: Teams work around these problems with tribal knowledge, muscle memory, and manual triage. AI agents can’t. They […] The post The Observability Dataset: Architecture That Takes Agents From Junior to Senior appeared first on Coralogix .
Recently, someone talked Chipotle’s customer support agent into reversing a linked list – a task completely unrelated to burritos in any way. Screenshots circulated, people laughed, but underneath the joke sat a sharper question. If a production support agent will do that on a public channel, what else will it do that nobody is screenshotting? […] The post Un-observable AI is Un-trustworthy AI appeared first on Coralogix .
Observability AI is only as good as the data layer beneath it.Without structure, queries and AI scan huge swaths of data on each investigation or lose precision. This can lead to: That era is over. Coralogix is launching Dataspaces and Datasets: a data layer that gives teams structured control over how observability data is organized, […] The post Dataspaces and Datasets: A faster, goverened, observability data layer appeared first on Coralogix .
Kubernetes dashboards often mask a systemic infrastructure failure. When a critical Java service fluctuates and restarts, the post-mortem often confirms an Out-of-Memory (OOM) event. While CPU metrics appear healthy, memory has silently hit a ceiling, forcing the kernel to terminate the process. The Operational Failure Traditional metrics are lagging indicators. They report the memory climb, […] The post Stop Guessing Why Your Pods Are Crashing appeared first on Coralogix .
New funding accelerates a platform built for a world where AI agents and human engineers analyze, manage, and operationalize data together Boston, MA – June 3, 2026 – Coralogix, the data and AI platform for observability, today announced it has raised $200 million in Series F funding. The round was co-led by Advent, CPPIB, and […] The post Coralogix Raises $200M to Scale the Observability Backbone for the Age of AI appeared first on Coralogix .
The missing half of routing confidence TCO policies have always been one of the most impactful cost levers in Coralogix. Route business-critical data to High, push monitoring data to Medium, archive compliance logs to Low. With the addition of DataPrime expressions (DPXL) – a subset of the DataPrime query language designed for inline filtering at […] The post DataPrime at ingest (DPXL): See the impact of any routing decision appeared first on Coralogix .
Key Differentiators
Strong Challenger
Coralogix is an established challenger with significant market presence and competitive offerings in IT Operations & Observability.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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