Sold by: Coralogix
Deployed on AWS
Coralogix provides a modern observability platform that delivers comprehensive visibility into all your logs, metrics, traces and security events with end-to-end monitoring including APM, Infrastructure Monitoring, RUM, SIEM and more, for up to 70% less cost.
4.5
Overview
Coralogix is the leading in-stream data platform for full observability for logs, metrics, tracing, RUM and security data. Using proprietary Streama© technology, Coralogix provides modern engineering teams with real-time insights and trend analysis with no reliance on storage or indexing.
Using proprietary Streama© technology, easily ingest log, metric, tracing, and security data from any source for a single, aggregated view of system health. Automatically narrow down millions of events to common patterns for deeper insights and faster troubleshooting as data is ingested.
To deliver full observability, machine learning algorithms continuously monitor data patterns and flows between system components and trigger dynamic alerts. Hence, you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations.
Connect any data in any format, and view your insights anywhere, including our purpose-built UI, SQL clients, Tableau, or using our CLI and full API support. Manage the setup yourself, or schedule a free 1:1 session with one of our experts.
Highlights
- Architecture: Unlike traditional solutions, Coralogix leverages in-stream analytics to investigate your data and provide actionable insights without relying on storage or indexing. Our unique architecture gives users the best of stateless speed and scale with the power and granularity of stateful correlation.
- Scale: Using advanced auto-scaling techniques, Coralogix seamlessly scales up and down to meet the demands of any environment at any scale with little to no changes required. The platform is currently processing 3M+ events per second.
- Cost Optimization: By analyzing data and extracting insights without needing to store or index it, users benefit from complete monitoring, visualization, and alerting capabilities with optimized storage and savings of up to 70%.
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Deployed on AWS
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Buyer guide
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
10 GB/Day | Coralogix - Rum, Logs, Metrics and Tracing | $351.31 |
25 GB/Day | Coralogix - RUM, Logs, Metrics and Tracing | $876.00 |
50 GB/Day | Coralogix - Rum, Logs, Metrics and Tracing | $1,756.56 |
Dimensions summary
You choose a contract based on the daily data volume you plan to send. The three options set a fixed quota of 10 GB, 25 GB, or 50 GB per day. Each covers Real User Monitoring, Logs, Metrics, and Tracing under one plan. The larger the daily quota, the more data you can ingest each day. All three give you the same access to platform features. You pick the tier that matches your expected daily ingestion. Your data usage counts against this daily quota, which renews each day within the contract term.
Top-of-mind questions for buyers
Coralogix converts your ingested data into units based on volume and which pipeline it routes to. Your usage counts against the daily quota you selected. Admins can view and manage quota from the Settings page. The quota renews each day within the contract term.
At 80% of your daily quota, you get an email alert. The Pay-As-You-Go feature lets you keep ingesting up to twice your daily quota. Without it, data past the quota is temporarily blocked until 00:00 UTC, when it is automatically released.
Yes. Each daily quota covers all four data types under one plan. You mix and match logs, metrics, traces, and RUM across pipelines. Your consumption converts to units and draws from the same daily quota, so you decide how to prioritize your data.
coralogix.com
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Coralogix offers free support 24/7 to all paying customers and a full product academy
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Coralogix
By Observe, Inc.
Top
10
In Monitoring and Observability, Log Analysis
Top
10
In Generative AI, Log Analysis
Top
10
In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
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AI generated from product descriptions
In-Stream Data Processing Architecture
Leverages in-stream analytics to investigate data and provide actionable insights without relying on storage or indexing, combining stateless speed and scale with stateful correlation capabilities.
Machine Learning-Based Anomaly Detection
Continuously monitors data patterns and flows between system components using machine learning algorithms to trigger dynamic alerts based on pattern deviations from the norm without requiring static thresholds or pre-configurations.
Multi-Source Data Ingestion
Supports ingestion of logs, metrics, tracing, and security data from any source in any format for aggregated system health visibility with automatic pattern recognition across millions of events.
Auto-Scaling Infrastructure
Implements advanced auto-scaling techniques to seamlessly scale up and down to meet environment demands at any scale, currently processing 3 million or more events per second.
Multi-Interface Data Access
Provides data access and visualization through multiple interfaces including purpose-built UI, SQL clients, Tableau integration, CLI, and full API support.
AI-Powered Root Cause Analysis
Automatically investigates alerts and pinpoints root causes with 5x faster analysis capabilities.
Natural Language Query Interface
Enables querying of observability data using conversational natural language to identify issues and receive actionable insights.
Real-Time Anomaly Detection
Detects system anomalies in real-time to prevent incidents before they impact users.
OpenTelemetry Integration
Supports standardized OpenTelemetry integration for unified data collection across logs, metrics, and traces in cloud-native environments including Kubernetes, serverless, and microservices.
Multi-Tiered Storage Architecture
Implements multi-tiered storage and data management capabilities to optimize telemetry data retention and reduce storage costs.
Data Ingestion and Query Performance
Ingests petabytes of telemetry per day with capability to process hundreds of terabytes and execute tens of millions of queries daily without performance degradation
Knowledge Graph Architecture
Utilizes O11y Knowledge Graph to structure and correlate data across logs, metrics, and traces for fast search and correlation capabilities
Natural Language Processing for Incident Analysis
Implements O11y AI to enable troubleshooting of complex incidents using natural language queries for accelerated root cause analysis
Open Data Lake Foundation
Built on Snowflake data lake architecture providing open data storage without vendor lock-in and enabling cost-efficient telemetry retention
Multi-Signal Correlation
Correlates and contextualizes data across logs, metrics, and traces to provide unified observability across multiple teams and use cases
Standard contract
No
No
Customer reviews
Anonymous
Robust Log Monitoring Made Simple, with Room for AI Growth
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
I like that Coralogix is robust when ingesting data and showing information, and simple to use with an abstraction around Elasticsearch and OpenSearch. I use the dashboard and AI bot to find events in our cloud accounts and visualize migration processes and their statuses. The initial setup was very convenient: I just stored the credentials and used them with OpenTelemetry.
What do you dislike about the product?
I’d like the AI bot to help me create dashboards. Currently, it only runs queries and doesn’t help me end-to-end.
What problems is the product solving and how is that benefiting you?
I use Coralogix to aggregate logs from different accounts, alert on conditions in the stored data, and prioritize logs by severity.
Prajwal S.
Unified Logs, Metrics & Traces with Real-Time AI Insights and Responsive Support
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
how it brings logs, metrics, and traces together in one place, making it easier to understand what’s happening across our systems. The real-time insights and AI-powered features help speed up troubleshooting and reduce the time spent investigating issues. Overall, it makes observability more efficient and helps the team focus on solving problems rather than just analyzing data. UI is also user friendly with great performance. We have integrated with cloudwatch. Colalogix support is also very responsive. I would say its good ROI
What do you dislike about the product?
One thing that could be improved is the learning curve, especially for new users who are getting familiar with the platform. Some dashboards and configurations can take time to understand, and navigating large amounts of data can occasionally feel overwhelming. Simplifying the initial setup and making some advanced features more intuitive would make the overall experience even better.
What problems is the product solving and how is that benefiting you?
It helps us solve the challenge of monitoring complex systems and troubleshooting issues quickly. Instead of switching between different tools to analyze logs, metrics, and traces, we can get a more complete picture of what's happening in one place. This makes it easier to identify the root cause of issues, reduce downtime, and improve overall system performance. It also saves the team time and helps us make better decisions using real-time insights.
Anuvansh K.
Reliable Real-Time Alerts and Effortless Log-to-Trace Correlation
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
What I like most is the reliability of the streaming data pipeline. Getting real-time alerts without latency issues helps us catch production bugs immediately. The interface makes it incredibly simple to correlate logs with tracing data during active incidents.
What do you dislike about the product?
I sometimes experience slow performance and delayed log fetching when working with large volumes of data, and the main logs UI can feel cluttered.
What problems is the product solving and how is that benefiting you?
When an outage or performance bug occurs, engineers waste valuable time digging through millions of disconnected logs across different systems to find the root cause. The benefits is that Coralogix automatically clusters logs into common patterns and flags anomalies using machine learning. This lets our engineering team catch system errors instantly, lowering our Mean Time to Resolution (MTTR) and keeping application uptime high.
Computer Networking
Intuitive UI and Powerful Centralized Logging with Smooth MCP Integration
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
The UI is very intuitive and easy to use. Coralogix is our central logging system, and it helps us quickly filter and search through logs across multiple microservices. It handles large volumes of logs well and makes it easy to narrow down what we need.
The MCP server provided by Coralogix is what makes it especially useful for us. We use it in day-to-day debugging with our AI tools, and with the MCP server it integrates smoothly into our AI workloads. Support has also been great; they’re always ready to help and respond quickly.
That said, they still need to enhance their AI offerings. It would be nice if it could detect certain issues just from logs across services.
The MCP server provided by Coralogix is what makes it especially useful for us. We use it in day-to-day debugging with our AI tools, and with the MCP server it integrates smoothly into our AI workloads. Support has also been great; they’re always ready to help and respond quickly.
That said, they still need to enhance their AI offerings. It would be nice if it could detect certain issues just from logs across services.
What do you dislike about the product?
The archive log tier is slow. Maybe it is how it supposed to be but not sure. Also sometime the UI is laggy. Overall the product is good.
What problems is the product solving and how is that benefiting you?
It helps us as a central logging system of our whole product. Easy to view and dig through logs
Nikita D.
Clear Alerts, Easy Integration, and Great Query Support
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
Clear alerts, with good and easy integration. Query support is great as well, which makes it simpler to find what I need and work efficiently.
What do you dislike about the product?
There are sometimes too many alerts. There should be a provision to club or group some of the alerts together so they’re easier to manage.
What problems is the product solving and how is that benefiting you?
We receive segregated alerts based on priority, which makes it easier to decide what needs to be fixed first.