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
Fast, well-integrated observability backed by a great support team
Reviewed on Nov 09, 2026
Review provided by G2
What do you like best about the product?
Coralogix is the observability backbone of our payments platform, and after more than three years, it is still a vendor we are happy to recommend. Three things stand out. First, speed: searching large volumes of production logs is fast, and DataPrime lets us break down an issue by trace ID, merchant, or payment gateway in seconds rather than minutes. Second, alerting and integrations: alerts go straight to Slack and our internal event center, while the APIs and MCP server let us connect Coralogix to our own tools and AI agents, so the team can investigate incidents using the tools they already work with. Third, the people: support is quick and genuinely technical, and the account team is proactive and easy to work with.
What do you dislike about the product?
Honestly, not much. The platform is broad, so new team members need a little time to get comfortable with the full feature set, and I would welcome more ready-made templates for dashboards and alerts to shorten that ramp-up. These are wish-list items rather than real pain points; nothing has ever been an obstacle for us.
What problems is the product solving and how is that benefiting you?
We run a card-linked installment payments platform, so every failed request matters to a merchant and a shopper. Before Coralogix, logs were scattered across services, and finding the cause of a failed transaction meant jumping between systems. Now we have one place for production logs across all services, gateways, and Kubernetes workloads, with fast root-cause analysis when something breaks and alerts that reach the right team before a merchant notices. The result is a much shorter time to detect and resolve incidents, the ability to answer partner and merchant questions with evidence from the logs within minutes, and predictable observability costs even as our transaction volume continues to grow.
Asia S.
Proactive Support Team and Account Managers That Truly Deliver
Reviewed on Nov 09, 2026
Review provided by G2
What do you like best about the product?
The support team, our account managers, the input they provide us, and their proactiveness.
What do you dislike about the product?
The new alert configuration flow is difficult to understand. It includes new fields that I can’t understand, which makes the overall setup confusing.
What problems is the product solving and how is that benefiting you?
Product status, debugging, and quality improvements.
Computer & Network Security
Feature-Rich, Easy to Use, and Backed by Fast Support
Reviewed on Nov 09, 2026
Review provided by G2
What do you like best about the product?
All the features. Fast support. Ease of usage
What do you dislike about the product?
Too many new features happening too quick.
What problems is the product solving and how is that benefiting you?
Solves all our Logging and Observability
Mechanical or Industrial Engineering
All-in-One Observability That Streamlines Troubleshooting and Production Visibility
Reviewed on Nov 09, 2026
Review provided by G2
What do you like best about the product?
Coralogix is an important part of our day-to-day engineering workflow. Our teams rely on it to monitor our systems, investigate production issues, and get a clearer picture of what’s happening across our services.
Having logs, metrics, and observability capabilities all in one platform makes it easier for our engineers to troubleshoot problems efficiently and maintain strong visibility into production.
Beyond the product itself, I really want to highlight the outstanding support we receive from Zoya Levin, our account manager. She is always proactive, responsive, and genuinely committed to helping us succeed. She regularly brings new ideas and knowledge, connects us with the right experts, and organizes knowledge-sharing sessions for our engineering teams.
Zoya makes us feel like we have a true partner, not just a software vendor.
What do you dislike about the product?
I don’t have any major complaints about Coralogix. The platform works well for what we need, and whenever we’ve needed assistance or guidance, the team has been responsive and genuinely helpful.
What problems is the product solving and how is that benefiting you?
Coralogix helps us maintain visibility across our production environment and quickly investigate issues when they occur.
For our engineering teams, this means faster troubleshooting, easier root cause analysis, and less time spent searching through logs or trying to understand what went wrong.
It helps us improve system reliability, reduce operational overhead, and ultimately deliver a better experience to our customers.
Ajay N.
Helpful Data Tiering and Strong API/CLI for Easier Observability Debugging
Reviewed on Nov 05, 2026
Review provided by G2
What do you like best about the product?
Tiering for observability data is very helpful for managing cost and making sure I’m using the right features for the right data when needed. It’s also an excellent way to correlate logs and tracing data, which makes debugging much easier. On top of that, the API and CLI support are very good, and the MCP support helps with seamless integration with other tools.
What do you dislike about the product?
When data is ingested into Coralogix, additional metadata is added before the data is stored. As a result, the overall data volume reported in Coralogix ends up being about 2 to 3 times higher than the original source data. Coralogix then charges units based on the volume reported in Coralogix, which includes this metadata overhead.
What problems is the product solving and how is that benefiting you?
Since this is a managed observability platform, we don’t have to worry about the platform’s maintenance or scalability. Before coralogix, proactive monitoring was difficult with basic alerting capabilities. Coralogix also offers strong alerting and dashboarding features, which significantly improve our overall monitoring.