Chronosphere vs Datadog comparison

Read 188 Datadog reviews

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17,662 Comparison Views

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: December 2024).

Application Performance Monitoring (APM) and Observability

December 2024

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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

33rd

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 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), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (1st), Cloud Security Posture Management (CSPM) (9th)

Mindshare comparison

As of January 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Chronosphere is 0.3%, down from 0.6% compared to the previous year. The mindshare of Datadog is 9.9%, down from 11.8% 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"

"APM and tracing are super useful."

"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."

"The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize."

"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."

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

"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."

"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."

"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."

More Datadog pros

Cons

"It's not easy for everyone."

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

"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."

"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."

"We want to reduce having to go to different screens to obtain all the information."

"Geo-data is also something very critical that we hope to see in the future."

"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."

"Could be a little more user friendly."

"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."

More Datadog cons

Pricing and Cost Advice

Information not available

"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 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."

"The price is better than some competing products."

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

"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."

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

"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."

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

13%

Retailer

11%

Educational Organization

39%

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

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Splunk Real User Monitoring (RUM) vs Chronosphere

Compared 25% of the time

Grafana vs Chronosphere

Compared 13% of the time

Dynatrace vs Chronosphere

Compared 12% of the time

Splunk APM vs Chronosphere

Compared 11% of the time

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Dynatrace vs Datadog

Compared 14% of the time

Azure Monitor vs Datadog

Compared 13% of the time

New Relic vs Datadog

Compared 5% of the time

AWS X-Ray vs Datadog

Compared 4% of the time

Splunk Enterprise Security vs Datadog

Compared 4% of the time

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Product Reports

Application Performance Monitoring (APM) and Observability

December 2024

Download Chronosphere product report

Download Datadog product report

January 2025

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