Chronosphere vs Datadog comparison

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Chronosphere

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Executive SummaryUpdated on Apr 6, 2025

Datadog and Chronosphere are both real-time monitoring and observability platforms for cloud-based infrastructures. Datadog often has the upper hand due to its extensive integration capabilities and intuitive analytics, while Chronosphere stands out for its scalability and performance optimization features.

Features: Datadog is known for its extensive integrations, comprehensive dashboards, and insightful analytics. Chronosphere is recognized for its high scalability, efficient resource usage, and advanced performance optimization.

Ease of Deployment and Customer Service: Datadog's deployment is straightforward with extensive documentation and active community support, offering accessible and responsive customer service. Chronosphere provides seamless deployment for large-scale environments with robust customer support, beneficial for large or complex infrastructures.

Pricing and ROI: Datadog offers various pricing tiers with notable ROI across many scenarios and attractive setup costs. Chronosphere often involves higher initial setup expenses but promises significant returns for large-scale operations due to performance optimizations and resource efficiency. Datadog's pricing is favorable for smaller operations, while Chronosphere delivers considerable ROI for enterprises needing scalability and resource management.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: May 2025).

Application Performance Monitoring (APM) and Observability

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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

Chronosphere

Ranking in Application Performance Monitoring (APM) and Observability

30th

Ranking in Log Management

34th

Ranking in AIOps

15th

Average Rating

9.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Application Performance Monitoring (APM) and Observability

1st

Ranking in Log Management

3rd

Ranking in AIOps

1st

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

187

Ranking in other categories

Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), Cloud Security Posture Management (CSPM) (8th)

Mindshare comparison

As of May 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Chronosphere is 0.3%, down from 0.4% compared to the previous year. The mindshare of Datadog is 8.7%, down from 11.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Arvind Pant

Senior Data Engineer at DoorDash

Monitors pipelines with real-time alerts and good documentation

It isn't very easy. It's not easy for everyone. It would be much easier if there could be a simpler version, like a data number version or an SQL version. It's hard to debug if you don't know the syntax. Also, I saw the Slack alerts feature, which is pretty cool, but I cannot customize my messages on the Slack alerts. It would be great if it were possible to tag people in the alerts. At DoorDash, we have hundreds of pipelines, and if something fails, I want to tag specific people so they can start working on the issue immediately.

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Kevin Palmer

DevOps/Security Principal at Raken

Useful log aggregation and management with helpful metrics aggregation

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

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Quotes from Members

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

Pros

"The alerting features are good"

"Datadog is providing efficiency in the products we develop for the wireless device engineering department."

"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."

"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."

"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."

"Datadog is constantly adding new features."

"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."

"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."

"It helps us better manage our logs."

More Datadog pros

Cons

"It's not easy for everyone."

"The error traceability is an area that can be improved."

"I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive."

"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."

"Network device and performance monitoring could be improved, as we've faced some limitations in this area."

"It could probably be a little bit of a better user experience."

"I'd like to see an expansion of the Android and IOS apps to have a simplified CI/CD pipeline history view."

"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."

"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."

More Datadog cons

Pricing and Cost Advice

Information not available

"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."

"Our licensing fees are paid on a monthly basis."

"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."

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

"Licensing is based on the retention period of logs and metrics."

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

"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."

"The tool is open-source."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Retailer

14%

Financial Services Firm

14%

Manufacturing Company

11%

Educational Organization

27%

Computer Software Company

12%

Financial Services Firm

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Chronosphere?

What is your primary use case for Chronosphere?

I work as a data engineer, and we have many streaming pipelines. We use Chronosphere to monitor various metrics, such as how much data our pipeline is processing in each batch, the volume of incomi...

What advice do you have for others considering Chronosphere?

If you want to monitor pipelines and use something like Kafka or any streaming platform, Chronosphere is the best option for monitoring pipelines with real-time alerts. It is loosely coupled with y...

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...

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...

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 ...

Honeycomb.io vs Chronosphere

Comparisons

Compared 26% of the time

Splunk Real User Monitoring (RUM) vs Chronosphere

Compared 19% of the time

Grafana vs Chronosphere

Compared 18% of the time

Dynatrace vs Chronosphere

Compared 11% of the time

Splunk Observability Cloud vs Chronosphere

Compared 10% of the time

More Chronosphere Competitors

Dynatrace vs Datadog

Compared 13% of the time

Azure Monitor vs Datadog

Compared 11% of the time

AWS X-Ray vs Datadog

Compared 5% of the time

New Relic vs Datadog

Compared 5% of the time

Splunk Enterprise Security vs Datadog

Compared 4% of the time

More Datadog Competitors

Product Reports

Application Performance Monitoring (APM) and Observability

Download Chronosphere product report

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Overview

Chronosphere provides a robust platform for managing and monitoring cloud-native applications with features like real-time observability, incident management, and capacity planning. It offers scalable, detailed observability across complex systems, an intuitive interface, and cost-efficient resource management. Users report enhanced productivity, improved collaboration, and better decision-making, bolstering operational capabilities and organizational growth.

Chronosphere

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Sample Customers

Information Not Available

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

Application Performance Monitoring (APM) and Observability