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Datadog vs Splunk comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

Review summaries and opinions

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

ROI

Sentiment score
6.4
Datadog improves efficiency by reducing response time, optimizing resources, enhancing reliability, and saving costs through better infrastructure monitoring.
Sentiment score
6.5
Splunk Observability Cloud boosts efficiency, reduces costs, and enhances productivity with centralized tools and improved monitoring capabilities.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
IT Manager at Liberty Mutual Insurance
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
Network Security Consultant at NTT DATA
We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.
Senior Manager at Agriculture Skill Council of India
We have been able to save a great deal of money, and our profits have increased by twenty percent.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Senior Manager at Bank of America
 

Customer Service

Sentiment score
6.7
Datadog's customer service is generally reliable and efficient, with recent improvements noted, despite occasional delays and communication issues.
Sentiment score
7.2
Splunk Observability Cloud's customer service is highly rated for its responsiveness, support, and effective issue resolution.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Applications Web Services Technical Engineer at Ace Hardware
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
Systems Administrator at Townsquare Interactive
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Security Engineer at Invitation Homes
On a scale of 1 to 10, the customer service and technical support deserve a 10.
Systems Administrator at a insurance company with 1,001-5,000 employees
They have consistently helped us resolve any issues we've encountered.
Software Engineer at UKG
The customer support system is the foundational pillar of any successful business.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Scalability Issues

Sentiment score
7.5
Datadog excels in scalable performance and integration but requires careful ingestion cost management as environments grow.
Sentiment score
6.9
Splunk Observability Cloud is scalable and flexible but can incur high costs; management of custom metrics may be challenging.
Datadog's scalability has been great as it has been able to grow with our needs.
IT Manager at Liberty Mutual Insurance
Since it is a SaaS platform, we did not have to worry about backend scaling.
Network Security Consultant at NTT DATA
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
Cyber Security Consultant at HR Software Solution
We've used the solution across more than 250 people, including engineers.
Splunk Observability Expert
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
Application Developer at UMB Financial
We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Stability Issues

Sentiment score
8.0
Datadog is praised for stability and reliability, with rare, quickly-resolved issues, especially during peak traffic periods.
Sentiment score
7.7
Splunk Observability Cloud is stable, reliable, and scalable, with minor performance issues and occasional but limited downtime.
Metrics collection and alerting have been consistent in day-to-day use.
Cyber Security Consultant at HR Software Solution
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Security Engineer at Invitation Homes
Datadog seems stable in my experience without any downtime or reliability issues.
Full Stack Developer at Townsquare Interactive
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
Aws Dev Ops Engineer at a consultancy with 10,001+ employees
Splunk Observability Cloud is very stable.
Software Engineer at Titans Lab
It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Room For Improvement

Datadog needs better alert management, cost control, data representation, API consistency, integration, security, automation, navigation, and educational resources.
Splunk Observability Cloud needs better cost transparency, user interface, third-party integration, and improved setup, onboarding, and AI capabilities.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
Operations Manager at a financial services firm with 1,001-5,000 employees
We want to be able to customize the cost part, and we would appreciate more granular access control.
Service Manager at PwC
Having more transparent and granular cost control features would make it easier to manage usage.
Network Security Consultant at NTT DATA
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
IT Operations Engineer at ABC Supply Co. Inc.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
Systems Monitoring Engineer II at a government with 10,001+ employees
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
Senior Software Engineer at WorldPay US
 

Setup Cost

Datadog offers scalable, usage-based pricing but requires careful monitoring to manage escalating costs and optimize feature utilization.
Enterprise users find Splunk Observability Cloud pricey compared to competitors, but negotiations can reduce costs by 10-15%.
The setup cost for Datadog is more than $100.
Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
Cyber Security Consultant at HR Software Solution
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
Applications Web Services Technical Engineer at Ace Hardware
Splunk is a bit expensive since it charges based on the indexing rate of data.
Senior Manager at Bank of America
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
Solutions Architect at Ikusi
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
Splunk Engineer at Data Elicit Solutions Pvt. Ltd.
 

Valuable Features

Datadog enhances operational efficiency with unified visibility, integration, customizable dashboards, and comprehensive monitoring across cloud platforms.
Splunk Observability Cloud offers real-time monitoring, AI analytics, and easy integration, enhancing user experience and operational performance.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Senior Software Engineer at Los Angeles Times Communications, LLC
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Security Engineer at Invitation Homes
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
Senior Manager at Bank of America
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk Observability Expert
It offers unified visibility for logs, metrics, and traces.
Administrator at a tech vendor with 10,001+ employees
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Network Monitoring Software
4th
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Log Management (4th), Container Monitoring (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
6th
Ranking in Network Monitoring Software
7th
Ranking in IT Infrastructure Monitoring
7th
Ranking in Cloud Monitoring Software
5th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
88
Ranking in other categories
Container Management (6th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.6%, down from 9.1% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.3%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.6%
Splunk Observability Cloud2.3%
Other93.1%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
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.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
9%
Outsourcing Company
6%
Financial Services Firm
13%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise8
Large Enterprise55
 

Questions from the Community

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 ...
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

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
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Datadog vs. Splunk Observability Cloud and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.