Coralogix
Coralogix is a full-stack observability platform founded in 2014 by Ariel Assaraf and Yoni Farin, initially built after Assaraf spent four years struggling with unmanageable log data.
Profile
Coralogix is an observability platform that ingests, stores, and analyzes logs, metrics, traces, and AI system data without sampling or retention limits, helping engineering teams identify and fix production issues faster.
Coralogix is a full-stack observability platform founded in 2014 by Ariel Assaraf and Yoni Farin, initially built after Assaraf spent four years struggling with unmanageable log data. The company has evolved from a log-analytics tool into a platform that unifies logs, metrics, traces, and AI monitoring into a single interface. In June 2025, Coralogix crossed the $1 billion valuation threshold with a $115 million Series E round led by NewView Capital, with participation from Canada Pension Plan Investment Board and NextEquity.
The company now operates at significant scale: processing over 3 million events per second across 500,000+ applications globally and serving more than 4,000 customers including Palo Alto Networks, Adobe, Monday.com, and Payoneer. Coralogix differentiates itself on cost efficiency and vendor flexibility. Its Streama engine and tiered pipeline model (Frequent Search, Monitoring, Compliance) claim up to 70% cost savings versus competitors like Datadog, and the platform allows customers to store data in their own cloud buckets, avoiding vendor lock-in.
In December 2024, Coralogix acquired Aporia, an AI observability and guardrails platform founded in 2019, for approximately $50 million. This marked a strategic pivot toward AI monitoring, aligning with broader market trends as enterprises scrutinize the quality, security, and cost of LLM-based systems. The acquisition brought Aporia co-founders Liran Hason and Alon Gubkin into leadership roles overseeing Coralogix AI.
In June 2025, the company introduced Olly, an AI agent designed to democratize observability insights for both technical and non-technical users by answering production questions, identifying root causes, and surfacing risks automatically. Coralogix achieved $90.8 million in annual recurring revenue by 2024, up from $62.9 million in 2023, and was recognized as a Visionary in Gartner's 2025 Magic Quadrant for Observability Platforms in its first inclusion. The company employs 574 to 709 people across multiple continents, though it has faced workforce criticism on Glassdoor regarding high turnover and sales team underperformance in 2024.
Who buys this
- Enterprise software and SaaS companies (Monday.com, Adobe, Payoneer)
- Financial and payment processors (Payoneer, MasterClass)
- Cybersecurity and infrastructure vendors (Palo Alto Networks, Imperva)
- Mid-market tech companies seeking cost-effective observability alternatives to Datadog
- Organizations deploying large AI/LLM systems requiring specialized monitoring
Publicly disclosed clients
- Palo Alto Networks
- Adobe
- Monday.com
- Payoneer
- Imperva
- Curve
- Hevo
Strengths and what to watch
Strengths
- Cost efficiency: Tiered pipeline model and in-stream analysis claim 70% cost savings versus Datadog, with transparent unit-based pricing including all features and support.
- Vendor independence: Remote, index-free querying allows data storage in customer's own cloud buckets (S3), avoiding lock-in.
- AI observability scale: Aporia acquisition and AI Center provide end-to-end visibility into LLM systems, including hallucination detection, token cost tracking, and data leakage prevention.
Watch for
- High employee turnover: Glassdoor reviews from 2024 noted sales team underperformance (zero reps hit targets) and management friction; company stated it is redeploying rather than laying off, but culture concerns persist.
- Smaller integration ecosystem: 300+ integrations lag Datadog's 1,000+, potentially limiting appeal to enterprises with custom tool chains.
- Execution risk on Olly AI agent: General availability targeted for Q3 2025; feature differentiation and adoption rates in market will determine whether AI positioning justifies unicorn valuation.
Recent moves
Key Information
- Industry
- Log Analytics
- Founded
- 2014
Frequently Asked Questions
What is Coralogix?
Coralogix is a full-stack observability platform founded in 2014 that unifies logs, metrics, traces, and AI system monitoring into a single interface. The platform ingests data without sampling or retention limits, helping engineering teams quickly identify and resolve production issues.
How much does Coralogix save compared to Datadog?
Coralogix claims up to 70% cost savings versus Datadog through its Streama engine and tiered pipeline model (Frequent Search, Monitoring, Compliance). The platform offers transparent, unit-based pricing that includes all features and support, avoiding the hidden costs that many competitors charge separately for add-ons.
Does Coralogix monitor AI and LLM systems?
Yes. Coralogix acquired AI observability platform Aporia in December 2024 for approximately $50 million to strengthen its AI monitoring capabilities. The platform offers end-to-end visibility into LLM systems, including hallucination detection, token cost tracking, and data leakage prevention through its AI Center.
Can I store my data outside Coralogix?
Yes, Coralogix differentiates itself through vendor independence. The platform uses remote, index-free querying that allows you to store data in your own cloud buckets, such as Amazon S3. This flexibility avoids the vendor lock-in that traditional observability platforms impose on customers.
Which companies use Coralogix?
Coralogix serves more than 4,000 customers globally across diverse sectors including enterprise software, SaaS, and financial services. Notable clients include Palo Alto Networks, Adobe, Monday.com, Payoneer, and Imperva. The platform processes over 3 million events per second across 500,000+ applications worldwide.
What's Coralogix's position in the observability market?
Coralogix was recognized as a Visionary in Gartner's 2025 Magic Quadrant for Observability Platforms in its first inclusion. The company achieved $90.8 million in annual recurring revenue in 2024, up from $62.9 million in 2023, demonstrating rapid growth and market momentum.
How Coralogix compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Coralogix
- Positioning
- Coralogix is an observability platform that ingests, stores, and analyzes logs, metrics, traces, and AI system data without sampling or retention limits, helping engineering teams identify and fix production issues faster.
- Customer segments
- Enterprise software and SaaS companies (Monday.com, Adobe, Payoneer)
- Strengths
- Cost efficiency: Tiered pipeline model and in-stream analysis claim 70% cost savings versus Datadog, with transparent unit-based pricing including all features and support.
- Watch for
- High employee turnover: Glassdoor reviews from 2024 noted sales team underperformance (zero reps hit targets) and management friction; company stated it is redeploying rather than laying off, but culture concerns persist.
- Recent moves
- Coralogix Raises $115M Series E at $1B+ Valuation, Launches AI Agent Olly
Datadog
- Positioning
- Cloud observability market leader. $3.43B FY2025 revenue, 32,000 customers across cloud-native and enterprise deployments.
- Customer segments
- DevOps and SRE teams at cloud-native companies and large enterprises. 4,060 customers exceed $100K ARR as of late 2025.
- Strengths
- 1,000-plus integrations, versus 300-plus for Coralogix, and 83% multi-product customer adoption rate across infrastructure, APM, logs, and security.
- Watch for
- Per-host and per-log billing grows 30-50% annually. Customers report invoices 3-10x above budget at scale.
- Recent moves
- Bits AI SRE Agent reached general availability December 2025, autonomously triaging alerts and proposing fixes via Slack and Jira.
Dynatrace
- Positioning
- Enterprise observability positioned on causal AI for automated root-cause analysis. 4,000-plus enterprise customers in finance, telecom, and public sector.
- Customer segments
- Large enterprises in financial services, telecom, and public sector. Complex hybrid cloud buyers who need automated triage, not manual monitoring.
- Strengths
- Davis causal AI identifies root causes without manual baselining, reducing alert noise for operations teams in large distributed environments.
- Watch for
- Diginomica (February 2026) notes POCs succeed but enterprise-wide rollouts stall due to pricing and deployment complexity.
- Recent moves
- Introduced Dynatrace Intelligence autonomous operations framework at Perform 2026 (February 2026), including an embedded integration with Microsoft Azure SRE Agent.
New Relic
- Positioning
- Full-stack observability under Cisco ownership since November 2023. 175,000-plus organizations. Positioned on free tier access and business-outcome alignment.
- Customer segments
- Engineering and SRE teams from SMB to enterprise. Automotive and manufacturing verticals (BMW, Volkswagen). Budget-sensitive buyers drawn by free tier.
- Strengths
- 100GB free monthly ingest, the largest free tier in observability, lowers adoption barrier for teams evaluating alternatives to Datadog.
- Watch for
- Post-acquisition Cisco integration leaves product roadmap ownership unclear. Customers cite uncertainty about standalone investment versus Cisco portfolio priorities.
- Recent moves
- Launched Intelligent Workloads in February 2026, linking system health metrics directly to business KPIs including revenue and cart abandonment rates.
Sources
- www.globenewswire.com — Series E funding round ($115M), valuation ($1B+), lead investors (NewView Capital, CPPIB, NextEquity), and existing investors
- coralogix.com — Product portfolio (DataPrime Engine, Streama, APM, RUM, SIEM), customers served (4,000+), integration count (300+), and platform capabilities
- techcrunch.com — Aporia acquisition details, founding year (2019), acquisition date (December 2024), and strategic rationale for AI observability focus
- coralogix.com — Founding year (2014), founders (Ariel Assaraf, Yoni Farin), headquarters, employee count, processing scale (3M+ events/sec, 500K+ apps), and customer base
- www.calcalistech.com — Workforce challenges, turnover concerns, redeployment strategy, and HR approach to AI-driven staffing changes
- www.gartner.com — Gartner Magic Quadrant positioning as Visionary in 2025, peer ratings, and competitive standing