What Is Coralogix: The Observability Platform to Monitor the AI Era

Engineering teams today are drowning in data. Logs, metrics, traces, security events – the volume has outrun what most traditional monitoring tools were ever designed to handle. And the reality is, when something breaks in production at 2 AM, you do not want to be manually digging through millions of log lines hoping to find a clue. That is the exact problem Coralogix was built to fix.

From a seed-stage startup in 2014 to a billion-dollar platform trusted by thousands of enterprises worldwide, Coralogix has grown fast. Here is everything worth knowing.

What Is Coralogix and What Does It Do?

Coralogix is a platform focused on centralized log management and analytics for organizations managing large volumes of data across their cloud environments. It enables users to ingest, parse, and analyze logs, metrics, and traces in real time, converting raw data into actionable insights.

Founded in 2014 by Lior Redlus and Guy Kroupp, the company set out to solve a problem that every scaling engineering team hits at some point: you have too much data, too little visibility, and tools that make both problems worse.

Coralogix is a modern observability platform that gives teams real-time insights across systems, security, and AI workloads. By processing data in-stream and storing it directly in the customer’s cloud, it delivers full data fidelity without indexing or sampling – reducing costs while allowing teams to monitor, troubleshoot, and make decisions using 100% of their telemetry data.

Think of it as the nervous system of a software company’s infrastructure. Something breaks, Coralogix tells you what, why, and how to fix it. Fast.

How Coralogix Works: Logs, Metrics, and Traces in One Place

Here is the thing most observability vendors do not want to admit. Stitching together three or four separate tools for logs, metrics, and tracing is painful. It is expensive. And it creates more blindspots than it closes.

Coralogix bets on consolidation instead.

The platform combines logs, metrics, traces, security, and AI observability into a single interface. Its index-free architecture frees teams from bloated storage and slow queries so they can focus on communicating and solving problems in real time.

The engine underneath is where it gets interesting. Data is ingested from any external source using Kafka Connect, which produces events and state-storage to Kafka topics and k-tables. Events flow through for stream analysis and are automatically parsed, enriched, and clustered using machine learning algorithms.

Coralogix turns raw logs into structured, enriched, high-value data as it streams in. No indexing delays, no inflated costs, no wasted storage. It groups billions of logs into real-time templates using machine learning — no configuration, no clutter.

And that in-stream model matters more than it sounds. Rather than indexing everything upfront and paying for it regardless, teams can decide what needs fast querying and what can sit at a lower cost tier. The data does not disappear. You just pay less for the parts you check less often.

Key Features That Make Coralogix Stand Out

Let’s be honest, most observability platforms have similar feature checklists on paper. What actually separates them is depth of execution. Coralogix earns its reputation in a few specific areas.

Log Analytics enriches logs with geolocation, threat intelligence, and business metadata, transforming them into structured events with full context. It automatically groups similar logs using machine learning to expose critical behaviors and anomalies — no manual parsing required.

The APM catalog provides clear visibility into application performance, helping teams track latency, errors, throughput, and overall health. A service map visualizes service-to-service connections and their current health status.

Flow alerting allows teams to trigger alerts on logs, metrics, traces, or any combination of the three. That cross-signal alerting is something most tools still struggle to offer cleanly. Then there is Olly. Coralogix created Olly, an agentic AI observability assistant that allows anyone to ask plain-language questions and instantly understand what is happening in production – without writing queries or building dashboards.

Instead of sifting through dashboards or running queries, users can ask direct questions like “Why is latency increasing in Europe?” and receive focused, real-time answers. It replaces manual investigation with guided root cause analysis and recommended next steps. So it is not just built for engineers anymore. Product managers, business leads, anyone with a production question can get an actual answer.

The platform also supports security information and event management (SIEM), real user monitoring (RUM), and infrastructure monitoring, offering complete visibility into AI performance, security, and governance in one place.

The market has noticed. Gartner named Coralogix a Visionary in the 2025 Magic Quadrant for Observability Platforms. And in the G2 Summer 2025 reports, Coralogix earned 188 badges and achieved the number one ranking in 33 individual G2 report categories.

Coralogix Funding, Valuation, and Investors

Here is the kicker. This article is being written on June 3, 2026 – and Coralogix just announced a new round today.

Coralogix has raised $200 million in Series F funding. The round was led by Advent and CPPIB, with participation from Greenfield and Brighton Park Capital, bringing total funding to $550 million.

The round values the company at $1.6 billion – a 60% jump from its previous valuation of just over $1 billion. CEO Ariel Assaraf confirmed that Coralogix is now operating at an annual revenue run rate of $150 to $200 million, reflecting roughly 60% growth since its previous funding round, with tens of millions of dollars in new revenue added each quarter.

That is not hockey-stick storytelling. That is real commercial momentum.

This Series F follows a strong Series E just eleven months ago. That $115 million Series E round was led by NewView Capital, with participation from the Canada Pension Plan Investment Board and NextEquity, a venture firm established by former Apple executives Avie Tevanian and Fred Anderson. All existing investors, including Advent International, Brighton Park Capital, Revaia, and Greenfield Partners, returned to back the company.

The startup employs more than 600 people globally, with about 100 based in India, home to its third-largest office after the US and Israel.

And before the Series E closed, Coralogix acquired Israeli AI startup Aporia and plans to use a significant portion of its new funding to expand that team and support its AI observability solutions.

Coralogix Pricing: How Much Does It Cost?

Coralogix does not publish a fixed price card. But there is enough out there to understand how the model actually works.

Pricing is based on Coralogix Units (CXUs), a consumption-based model tied to the volume of data ingested and the pipeline tier selected. Most organizations pay between $15,000 and $75,000 annually, depending on data volume, pipeline selection, and retention requirements.

There are three primary data pipelines. Frequent Search is the most expensive, optimized for high-speed querying and troubleshooting. Monitoring is mid-tier, designed for alerting and anomaly detection. Compliance is the lowest-cost option, built for long-term retention and audit trails.

The reality is that this tiered structure is one of Coralogix’s sharpest competitive edges. Teams can route low-priority logs to Compliance at a fraction of the cost, while keeping critical production data on Frequent Search. You keep the data. You just do not pay top-tier rates for data you rarely touch.

For startups evaluating Coralogix, get a custom quote. Pricing shifts meaningfully with volume.

Coralogix vs. Competitors: Datadog, Splunk, and New Relic

Coralogix competes directly with Datadog, New Relic, Splunk, Elastic, and Grafana Labs.

But feature comparisons only go so far. The real question is where each tool wins in practice.

Against Datadog, the primary argument is cost. Datadog’s per-host pricing model compounds quickly at scale. Coralogix’s CXU model tends to be more predictable for high-volume environments. Against Splunk, Coralogix offers a more modern cloud-native architecture with faster onboarding and query performance that does not require a certification to navigate. Against New Relic, the multi-pipeline tiering gives teams actual control over what they are paying for.

As CEO Ariel Assaraf put it, Coralogix stands out through a fundamentally different architecture: in-stream processing, infinite retention, remote querying, and a single flat syntax across all telemetry – making it a first-class observability platform from day one.

Coralogix ranks 6th among 112 active competitors in the observability space and 5th in terms of total funding raised among peers. The most direct pressure right now comes from Grafana Labs, which secured $250 million in its own funding round in February 2026.

So the space is heating up. Competition is real. But Coralogix is not exactly running scared with $550 million in the bank.

Who Uses Coralogix? Industries and Customer Reviews

Coralogix is trusted by more than 5,000 customers worldwide, including IBM, Tradeweb, and JFrog. The platform processes petabytes of production data daily across eight regions, including GovCloud for public sector and regulated industries.

The customer base spans fintech, AI infrastructure, cybersecurity, and cloud-native enterprises. It is not just Silicon Valley startups either. Banking teams, media companies, large-scale SaaS businesses – all of them showing up in customer reviews saying roughly the same thing.

Reviews consistently highlight the ease of onboarding new services, with integrations that take only minutes to complete, alongside fast and helpful support responses across banking, media, and SaaS industries.

And Olly is extending that reach further. The AI agent is available to all Coralogix customers and is designed to serve over 4,000 engineering teams worldwide.

AI-powered applications are generating telemetry data at volumes, speeds, and complexity levels that many traditional monitoring platforms were never designed to handle. Coralogix is positioning itself as the intelligence layer required for the next generation of production operations.

That is a big bet. But $550 million in investor backing, 5,000+ customers, and a revenue run rate pushing $200 million suggests the market is buying it. Not just literally – but as a long-term vision for what observability actually needs to become.

Coralogix Raises $200M