Coralogix is the ultimate observability platform providing engineer teams deep insights with real-time analysis, monitoring, visualization, and alerting with no reliance on storage or indexing.
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, Kibana, Grafana, 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%.
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 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.
You buy a monthly data ingestion plan measured in gigabytes, with usage tracked daily. The dimensions combine two variables: how much data you send per month and how long indexed data stays searchable. Volume options range from 5GB up to 600GB per month. Retention options run from 7 days to 90 days. Pick the pair that matches your data volume and how long you need fast, searchable access. All plans bill monthly under a contract. You can contact the vendor for a custom plan if none of the listed combinations fit.
Top-of-mind questions for buyers
What does the retention period control, and what happens to my data after it ends?
Retention sets how long indexed logs stay in fast, searchable hot storage. It applies to data in the frequent search pipeline. Once retention ends, that indexed access expires. All parsed data is also written to your own cloud object storage bucket, which you can query directly at any time.
What happens if I send more data than my monthly plan allows?
Usage is measured daily against your quota. At 80% of your daily plan, you get an email alert. You can enable a pay-as-you-go option to keep ingesting up to twice your daily quota. Extra usage bills at the pay-as-you-go rate. Without action, data is temporarily blocked until midnight UTC.
Which matters more for my plan choice, data volume or retention length?
Both combine to define each plan. Monthly volume, from 5GB to 600GB, sets how much data you can ingest. Retention, from 7 to 90 days, sets how long indexed data stays quickly searchable. Higher volume suits busy systems. Longer retention suits teams needing extended fast-query access to recent data.
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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.
Multi-Source Data Ingestion
Ingests logs, metrics, tracing, and security data from any source in any format for aggregated system health visibility.
Machine Learning-Based Anomaly Detection
Employs machine learning algorithms to continuously monitor data patterns and flows between system components, triggering dynamic alerts based on pattern deviations without requiring static thresholds or pre-configurations.
Auto-Scaling Infrastructure
Utilizes advanced auto-scaling techniques to seamlessly scale up and down to meet environment demands, currently processing 3M+ events per second.
Multi-Platform Visualization Support
Supports data visualization and querying across multiple platforms including purpose-built UI, Kibana, Grafana, SQL clients, Tableau, 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
I like the ease of providing raw logs from a variety of sources to Coralogix, such as using OTEL log capture or API logging endpoints. This flexibility helps us aggregate logs from diverse systems for better monitoring. Creating dashboards is really easy too, which speeds up getting the job done and gives quick feedback for our processes. Coralogix alerting is also simple and effective, making it an essential feature for us.
What do you dislike about the product?
I find the new log viewer really challenging compared to the classic one. It's essential for identifying new signals, and I end up using the classic version more often. There's also the issue with the base language differences between Lucene and Dataprime, which complicates modeling dashboards and alerting. It’s frustrating because a query that works in log viewing doesn’t necessarily translate to dashboards or alerts. Additionally, the filter options don’t narrow down based on existing filters, which makes it hard to use, especially because I'd expect to see only relevant attributes when applying filters. It would be hugely beneficial if the lookup list filtered attributes based on previous filters. Lastly, the new alerting and event management have potential, but there's not enough guidance on how to use them effectively.
What problems is the product solving and how is that benefiting you?
Coralogix aggregates application logs and service health signals, ensuring timely notifications of failures. It allows us to send logs from diverse systems, create dashboards for quick feedback, and has effective alerting.
Education Management
Excellent Logging & Tracing in coralgix
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
Loggings & Tracing is very good in coralgix
What do you dislike about the product?
No option for URL monitoring as per I checked
What problems is the product solving and how is that benefiting you?
They help in configuration part on our application side very efficiently
Anonymous
Powerful Tool with Scalability, Needs Easier Migration
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
I like Coralogix's scalability, as it can handle GBs and TBs of data mostly seamlessly, spreading logs across various systems. I also appreciate the unification of many telemetry metrics, including real-time metrics, and that it offers a unified dashboard with AI interpretation, which is really beneficial for managing our multiple systems with logs, metrics, traces, and infra logs.
What do you dislike about the product?
Migration is not easy with Coralogix, and there's a learning curve as engineers have to learn its query language. Managing various pipelines and permissions, especially during onboarding, is quite challenging. Integrating with existing systems isn't straightforward either. Setting up permissions and pipelines can be time-consuming.
What problems is the product solving and how is that benefiting you?
Coralogix solves collecting business and infrastructure metrics and reduces alert noise. It scales seamlessly to handle large data volumes and unifies telemetry across systems. The AI integration provides valuable insights, making data management efficient.
Ashish Y.
Powerful Observability with Reliable Uptime
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
I like Coralogix's powerful observability platform, particularly because of its real-time insights, ease of use, and the way it simplifies monitoring and troubleshooting. The lack of maintenance overhead is a big benefit as it removes the hassle of managing self-hosted monitoring infrastructure. Coralogix is very reliable, with great uptime and no overhead; it's incredibly efficient for monitoring metrics and logs during application deployment and for debugging infrastructure issues by correlating metrics. I value the service catalog and infrastructure explorer tools for effectively monitoring my infrastructure and services running on them. The initial setup was pretty easy too.
What do you dislike about the product?
The AI feature Olly could be improved further. I want Coralogix to be more deeply integrated with my infrastructure for debugging purposes. When investigating issues, I don't want any loose ends where the user needs to manually input details. I would prefer if Olly could close those gaps and be able to conduct end-to-end investigations when needed.
What problems is the product solving and how is that benefiting you?
Coralogix eliminates the maintenance overhead of self-hosted monitoring, provides reliable uptime, simplifies monitoring, and aids in real-time insights and debugging by correlating metrics.
Computer Software
Accessible, Easy Log Navigation Across Machines
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
I like how accessible it is and how easy it makes it to navigate through my many logs across so many machines. It also helps me identify issues quickly and with less effort.
What do you dislike about the product?
The new UI feels very clumsy. It’s much harder than before to navigate around and find my issues. The search mechanism in the logs is now overly complicated, and it’s not as easy as it used to be to view the log contents.
What problems is the product solving and how is that benefiting you?
With Coralogix, I can easily dump all my logs from all my machines and then access them quickly with clear visibility, which makes it simple to monitor everything successfully.