Chronosphere vs Datadog comparison

Read 188 Datadog reviews

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97% willing to recommend

Chronosphere

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Executive SummaryUpdated on Jan 5, 2025

Datadog and Chronosphere compete in the cloud monitoring and observability spaces. Datadog has the upper hand regarding features and customer ease, while Chronosphere leads in pricing strategy and innovation.

Features: Datadog integrates services comprehensively with real-time analytics and unified service management, providing strong visibility across all services. Chronosphere provides scalable architecture and customizability, allowing tailored solutions for complex data environments.

Ease of Deployment and Customer Service: Datadog offers streamlined deployment with extensive documentation and support, simplifying setup significantly. Chronosphere provides swift deployment and personalized support, focusing on customer-centric design for customized assistance.

Pricing and ROI: Datadog presents higher initial setup costs but delivers consistent ROI with its extensive capabilities. Chronosphere's competitive pricing emphasizes cost savings and high ROI with minimal investment, appealing to budget-conscious organizations.

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

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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"

"The solution is sufficiently stable."

"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."

"The real-time data helps us make informed decisions and optimize our operations, ultimately enhancing our overall efficiency and performance."

"The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs."

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

"The selection of monitors is a big feature I have been working with."

"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."

"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."

More Datadog pros

Cons

"It's not easy for everyone."

"It would be ideal if the product offered a bit more monitoring from our dashboard."

"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."

"One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote."

"The monitors need improvement."

"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."

"The logging could be improved in the future."

"We need to learn more about the session reply feature inside of DD."

"The sheer amount of products that are included can be overwhelming."

More Datadog cons

Pricing and Cost Advice

Information not available

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

"They prefer monthly subscriptions."

"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."

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

"Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."

"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."

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

"It has a module-based pricing model."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Retailer

14%

Financial Services Firm

14%

Manufacturing Company

14%

Educational Organization

37%

Computer Software Company

10%

Financial Services Firm

10%

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 17% of the time

Dynatrace vs Chronosphere

Compared 15% 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 12% 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