Coralogix
Coralogix helps engineering teams monitor all observability data in real-time without indexing.
Coralogix is a full-stack observability platform built on proprietary Streama© technology that analyzes logs, metrics, traces, and security events in real-time without requiring indexing or hot storage. The platform serves engineering teams at scale who need instant insights and long-term trend analysis while reducing observability costs by up to 70%. Unlike traditional solutions that separate real-time alerting from historical analysis, Coralogix uniquely solves both through in-stream processing using Kafka and Kubernetes, enabling dynamic alerting and anomaly detection without external datastores.
Problem solved
Engineering teams struggle with the duality of needing both real-time high-frequency data processing for instant alerts and ad hoc long-term querying for trend analysis, typically requiring expensive indexed storage solutions.
Target customer
Mid-market to enterprise engineering teams handling high-volume data streams; companies seeking to reduce observability costs while maintaining real-time insights; organizations currently overspending on Datadog or similar platforms.
Founders
A
Ariel Assaraf
CEO & Co-founder
Former Verint employee with Israeli military intelligence background; previously worked at Fairing Systems (later Good Night, NASDAQ-traded Homeland Security Company).
Y
Yoni Farin
CTO & Co-founder
Former Verint employee with 25+ years of expertise in software development, big data, and distributed systems.
G
Guy Kroupp
Co-founder
Former Verint employee.
L
Lior Redlus
Co-founder
Former Verint employee.
Funding history
Series D
$142M
June 2022
Led by Unknown
· Advent International, Brighton Park Capital, Revaia, Greenfield Partners
Series E
$115M
June 17, 2025
Led by NewView Capital
· Canada Pension Plan Investment Board (CPPIB), NextEquity, Advent International, Brighton Park Capital, Revaia, Greenfield Partners, Red Dot Capital Partners, O.G. Tech, Joule Capital Partners, Maor Investments
Total raised:
$350M
Pricing
Consumption-based model using Coralogix Units (CXUs) tied to data volume ingested. Three tiered pipelines: Frequent Search ($1.15/GB, most expensive), Monitoring ($0.50/GB, mid-tier), Compliance (lowest-cost). Typical annual spend: $15,000–$75,000 depending on volume and retention. 14-day free trial available with no credit card required.
Notable customers
Monday.com, Curve, Hevo, BetterHelp, 4,000+ total customers
Integrations
Kafka, Kubernetes, Segment, Salesforce, Google Workspace, Cloudflare
Tech stack
RSS
Open Graph
LottieFiles
HTTP/3
DocuSign
WordPress (Blogs)
Mixpanel (Analytics)
Cloudflare Bot Management (Security)
WP Rocket (Caching)
PHP (Programming languages)
Apple iCloud Mail (Webmail)
Google Workspace (Email)
Cloudflare (CDN)
MySQL (Databases)
Google Tag Manager (Tag managers)
Salesforce (CRM)
Yoast SEO Premium (SEO)
Yoast SEO (SEO)
Kinsta (PaaS)
Sendgrid (Email)
Ivory Search (WordPress plugins)
Priority Hints (Performance)
Segment (Customer data platform)
Website
Competitors
Datadog
Market leader with broader feature set and more integrations, but notoriously complex pricing that escalates with custom metrics and traces; Coralogix offers more cost control through tiered pipelines.
Splunk
Traditional indexing-based approach requires more storage and compute; Coralogix's in-stream analytics eliminates indexing overhead.
Sumo Logic
Cloud-native log management platform; Coralogix differentiates through real-time in-stream processing without storage dependency.
New Relic
Broader application performance monitoring focus; Coralogix specialized in cost-effective observability for high-volume data.
Observe
Dynamic observability platform; Coralogix differentiates through proprietary Streama technology and lower total cost of ownership.
Why this matters: Coralogix represents a fundamental shift in observability architecture by eliminating the expensive indexing layer that underpins competitors like Datadog and Splunk. With $350M in funding including a $115M Series E in June 2025 and 4,000+ enterprise customers, the company is proving that in-stream processing can scale while delivering 70% cost savings—directly challenging the market leader's pricing model.
Best for: Engineering teams at scale who need real-time observability without the operational overhead and cost of traditional indexing-based solutions, especially those currently overspending on Datadog.
Use cases
Cost Reduction for High-Volume Log Ingestion
A B2B SaaS company ingesting 5TB of logs daily can reduce observability costs by 70% compared to indexed solutions. Coralogix processes this volume in-stream without requiring expensive indexed storage, enabling the company to redirect savings to product development.
Real-Time Anomaly Detection Without Ad Hoc Query Tradeoffs
Platform engineering teams need instant alerts for production anomalies AND the ability to perform deep historical trend analysis. Coralogix's Streama technology handles both simultaneously through in-stream processing, eliminating the false choice between real-time and historical analysis capabilities.
Compliance and Audit Trail Management
Fintech and healthcare companies require long-term log retention for regulatory compliance. Coralogix's Compliance pipeline tier provides cost-effective retention without expensive indexed storage, enabling organizations to maintain required audit trails within budget.
Migration from Self-Managed ELK Stack
Teams running ELK (Elasticsearch, Logstash, Kibana) face operational overhead managing infrastructure. Coralogix provides similar flexibility and customization with a powerful UI and Live Tail for real-time visibility, without operational burden.
Alternatives
Datadog
Choose Datadog if you need the broadest feature set and most integrations across APM, infrastructure, and security; accept higher costs and complexity.
Splunk
Choose Splunk if you need traditional indexing-based search capabilities for regulatory compliance or if you have existing Splunk infrastructure investments.
Sumo Logic
Choose Sumo Logic if you prefer a cloud-native, managed service approach to log management without building custom alerting rules.
FAQ
What does Coralogix do? +
Coralogix is a full-stack observability platform that monitors logs, metrics, traces, and security events in real-time using proprietary in-stream analytics. Unlike traditional solutions that require indexing, Coralogix analyzes data as it streams through using Kafka and Kubernetes, providing instant insights and long-term trend analysis while reducing costs by up to 70%.
How much does Coralogix cost? +
Coralogix uses a consumption-based model with Coralogix Units (CXUs) priced at $1.50 per unit. Three pipelines offer different pricing: Frequent Search ($1.15/GB), Monitoring ($0.50/GB), and Compliance (lowest). Most organizations pay $15,000–$75,000 annually depending on data volume and retention. A 14-day free trial is available with no credit card required.
What are alternatives to Coralogix? +
Top alternatives include Datadog (broader features, higher cost), Splunk (traditional indexing approach), Sumo Logic (managed cloud service), New Relic (APM-focused), and Observe (dynamic observability). Coralogix differentiates through in-stream processing that eliminates indexing overhead and provides superior cost efficiency at scale.
Who uses Coralogix? +
Coralogix serves 4,000+ customers including Monday.com, Curve, Hevo, and BetterHelp. Target customers are engineering teams at mid-market to enterprise companies handling high-volume data streams, particularly those seeking to reduce observability costs or migrate from expensive indexed solutions like Datadog.
How does Coralogix compare to Datadog? +
Datadog is the market leader with broader features and more integrations, but pricing is complex and escalates with custom metrics and traces. Coralogix offers more cost control through tiered pipelines and eliminates indexing overhead entirely. In a scenario with 500 hosts and 5TB daily logs, Coralogix estimated costs at $234,000/month versus significantly higher Datadog costs, making Coralogix ideal for cost-conscious teams without sacrificing real-time capabilities.
Tags
observability
monitoring
logging
real-time analytics
in-stream processing
cost optimization
alternative to Datadog