Coralogix vs Datadog comparison

Coralogix and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Coralogix is ranked #21 with an average rating of 8.3, while Datadog is ranked #1 with an average rating of 8.7. Coralogix holds a 1.1% mindshare in APM, compared to Datadog’s 5.5% mindshare. Additionally, 93% of Coralogix users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

Coralogix

Read 13 Coralogix reviews

3,588 Views
1,794 Comparison Views

93% willing to recommend

Datadog

Read 211 Datadog reviews

22,772 Views
13,208 Comparison Views

97% willing to recommend

Coralogix

Datadog

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

Datadog and Coralogix are both strong competitors in the cloud monitoring and analytics category. Datadog seems to have the upper hand due to its extensive integration capabilities, which are crucial for enterprises looking for comprehensive and advanced monitoring solutions.

Features: Datadog is valued for its hosted nature, eliminating infrastructure management needs. It excels with its sharable dashboards and extensive integration ecosystem with services like Amazon ECS, RDS, and more. Coralogix is appreciated for its integration-friendliness, supporting platforms such as AWS, Azure, and GCP, and offering versatile dashboards for monitoring diverse data across logs and metrics.

Room for Improvement: Datadog could enhance its pricing transparency and account visibility, addressing concerns about unexpected costs. It could also simplify its user interface to reduce the learning curve. Coralogix, while cost-effective, might benefit from more advanced functionality and customization options. Both products could improve documentation and expand AI-driven insights for proactive monitoring.

Ease of Deployment and Customer Service: Datadog is flexible, suitable for private, public, and hybrid cloud environments, and offers strong customer support, though response times may vary. Coralogix, which primarily utilizes public cloud deployment, is noted for its responsive real-time support. Datadog's comprehensive documentation aids in reducing complexity during setup, whereas Coralogix is praised for immediate support responses.

Pricing and ROI: Datadog's pricing is considered high, with a complex model that might cause unexpected costs, though it offers high ROI through feature-rich offerings. Coralogix provides competitive pricing for smaller operations, requiring careful cost management. It offers value through cost-effective logging and analytics, but may not match Datadog's extensive features and integrations for larger enterprises.

To learn more, read our detailed Coralogix vs. Datadog Report (Updated: January 2026).

Buyer's Guide

Coralogix vs. Datadog

January 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Coralogix

Ranking in Application Performance Monitoring (APM) and Observability

21st

Ranking in Log Management

21st

Ranking in AI Observability

18th

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (22nd), API Management (15th), Streaming Analytics (15th), Anomaly Detection Tools (1st)

Datadog

Ranking in Application Performance Monitoring (APM) and Observability

1st

Ranking in Log Management

3rd

Ranking in AI Observability

1st

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Coralogix is 1.1%, up from 0.8% compared to the previous year. The mindshare of Datadog is 5.5%, down from 9.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Datadog	5.5%
Coralogix	1.1%
Other	93.4%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Naveenkumar Lakshman

Presales Engineer at Crayon AS

Centralized monitoring has improved real-time issue tracking and reduced root cause analysis time

One of the best features that Coralogix offers is that it is integration friendly. I can seamlessly work with different cloud providers including AWS, Azure, and GCP. I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible. Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool. I have the interface where I can use the drag-and-drop feature, and I can create different types of charts. Mainly, I have the line charts and time series ones that I generally use in many use cases, gauges, tables, pie charts, or markdown widgets. These are the ones generically available, and I can switch between the visualization types. I am getting the underlying query in that and can import and export dashboards built upon the JSON format. I can have my own APIs integrated with my dashboards as well, such as with Terraform, which is useful for scaling across my environments. Regarding root cause analysis, mainly what I can do is correlate across all of the layers because the main logs that I work on are storage-related, including CIFS, NFS, SAN traffic, and the metrics including storage, throughput, or VM resource usage. Being able to view logs, metrics, or traces available, I get all of these in one place, and I can do root cause analysis much quicker.

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Dhroov Patel

Site Reliability Engineer at Grainger

Has improved incident response with better root cause visibility and supports flexible on-call scheduling

Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The best feature of this solution allows us to correlate logs, metrics and traces."

"The solution is easy to use and to start with."

"The solution offers very good convenience filtering."

"The overall stability and reliability of Coralogix are excellent, and I rarely encounter issues."

"For now, we have not experienced any stability issues."

"Coralogix scales well, and I will rate it nine out of ten."

"The initial setup is straightforward."

"In my experience, the best feature Coralogix offers is that the dashboard is pretty good."

More Coralogix pros

"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"

"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."

"Datadog has had a significant positive impact on our organization overall, particularly in visibility, reliability, and cost efficiency, allowing us to centralize metrics, logs, and traces across our cloud, moving from reactive to proactive monitoring, with improvements including faster incident detection and resolution, enhanced service reliability, better cost and resource optimization, and shared dashboards providing the engineering and product teams a single source of truth for system health and performance, thus enhancing our overall observability and operational efficiency."

"Synthetic testing is by far the most valuable feature in our organization."

"The solution is stable."

"The single pane of glass view with maneuvering between products has helped us to truly understand root causes after incidents."

"It has saved us a lot of trouble in implementation."

"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."

More Datadog pros

Cons

"In terms of documentation, I think there can be more user-friendly documentation that stresses more on day-to-day issues."

"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."

"The user interface could be more intuitive and explanatory."

"The documentation of the tool could be improved"

"Maybe they could make it more user-friendly."

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."

"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."

"The user interface is not intuitive, especially when first onboarding, and improvements could be made here."

More Coralogix cons

"The installation is easy for me. However, if you are new to this solution it might not be so easy."

"We would love to see a % consumed and alert us if we are over budget before getting an overage charge 20 days into the month."

"We'd like Datadog to make the log storage cheaper."

"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."

"It seems that admin cost control granularity is an afterthought."

"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."

"This service could be less costly."

"Datadog could be improved with a simpler graphical user interface that can be extended to non-technical users, such as a CXO, if they want to review the dashboard overall for current tickets and the ticketing dashboard."

More Datadog cons

Pricing and Cost Advice

"The platform has a reasonable cost. I rate the pricing a three out of ten."

"The cost of the solution is per volume of data ingested."

"We are paying roughly $5,000 a month."

"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."

"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."

"It didn't scale well from the cost perspective. We had a custom package deal."

"While it is an expensive product, I would rate the pricing level at four out of five."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	99

Questions from the Community

What do you like most about Coralogix?

Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.

See all answers

What is your experience regarding pricing and costs for Coralogix?

To monitor and manage costs associated with Coralogix, I analyze my trend, looking at how the data is being ingested. Generally, it is charged based on what we store, and therefore there are certai...

See all answers

What needs improvement with Coralogix?

I think Coralogix can be improved with flexible dashboards. Creating specific views, such as saving a dev environment as a separate view rather than adding filters every time, would be great.

See all answers

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

See all answers

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

See all answers

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

See all answers

Comparisons

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Splunk Enterprise Security vs Coralogix

Compared 6% of the time

Elastic Search vs Coralogix

Compared 4% of the time

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Dynatrace vs Datadog

Compared 9% of the time

Azure Monitor vs Datadog

Compared 5% of the time

New Relic vs Datadog

Compared 4% of the time

Splunk Enterprise Security vs Datadog

Compared 3% of the time

Amazon OpenSearch Service vs Datadog

Compared 2% of the time

More Datadog Competitors

Product Reports

Buyer's Guide

Coralogix

January 2026

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Buyer's Guide

Datadog

January 2026

Download Datadog product report

Overview

Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems.

Ingest log, metric, and security data from any source for a single, centralized platform to monitor and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Proactive data storage optimization enables up to 70% savings on monitoring costs with better performance.

Coralogix

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

Sample Customers

Payoneer, AGS, Monday.com, Capgemini

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

Buyer's Guide

Coralogix vs. Datadog

January 2026

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