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: April 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

32nd

Ranking in Log Management

35th

Ranking in AIOps

14th

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

188

Ranking in other categories

Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), Cloud Security Posture Management (CSPM) (7th)

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Chronosphere is 0.2%, down from 0.5% compared to the previous year. The mindshare of Datadog is 8.8%, down from 11.3% 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.

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 alerting features are good"

"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."

"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."

"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."

"The technology itself is generally very useful and the interface is great."

"The feature I've found most valuable is the log search feature."

"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."

"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."

"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."

More Datadog pros

Cons

"It's not easy for everyone."

"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."

"Logging is not a great experience."

"Datadog's roadmap can be a bit unpredictable at times."

"They could enhance the alerting functions by creating a new feature to add direct SMS notifications, on-call rotation scheduling, etc., that could replace the need to have this as an external third-party solution integration."

"While the UI and search functionality are excellent, further improvement could be made in the querying of logs by offering more advanced templates or suggestions based on common use cases."

"More granular control over dashboard sharing. Timeboard sharing."

"Some of the interface is still confusing to use."

"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."

More Datadog cons

Pricing and Cost Advice

Information not available

"They prefer monthly subscriptions."

"The solution is fairly priced but history and log storage can get costly depending on your needs."

"The cost is high and this can be justified if the scale of the environment is big."

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."

"The price is better than some competing products."

"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."

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

"Pricing seemed easy until the bill came in and some things were not accounted for."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Retailer

14%

Financial Services Firm

13%

Manufacturing Company

12%

Educational Organization

32%

Computer Software Company

11%

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

Grafana vs Chronosphere

Compared 18% of the time

Splunk Real User Monitoring (RUM) vs Chronosphere

Compared 17% of the time

Dynatrace vs Chronosphere

Compared 14% 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