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BigPanda vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

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
5.5
BigPanda offers efficiency benefits for managing over 10,000 events weekly, saving time and resources compared to tools like Netcool.
Sentiment score
6.4
Datadog enhances efficiency and visibility, optimizing infrastructure, reducing downtime, and cutting costs with improved monitoring and team productivity.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
Technical Lead
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Software Engineer at Trianz
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
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
QA Engineer at Townsquare Interactive
 

Customer Service

Sentiment score
6.5
BigPanda's customer service is responsive and helpful, with noted inconsistencies like slow emails and no phone support.
Sentiment score
6.7
Datadog's support is praised for responsiveness and expertise, though improvements in communication and handling complex issues are needed.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
CEO / Co-Founder at Aiops ltd
For technical support, we have only had to address password resets and alert mismatching.
Technical Lead
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
 

Scalability Issues

Sentiment score
7.2
BigPanda is scalable and integrates well, although experiences vary based on configuration efforts and peak time performance.
Sentiment score
7.6
Datadog excels in scalability, offering seamless adaptation and integration for multi-cloud growth, though scaling costs are noted.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
Software Engineer at Trianz
I rate the scalability of BigPanda at eight.
Manager Observability at ICE
Datadog's scalability has been great as it has been able to grow with our needs.
IT Manager at Liberty Mutual Insurance
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Systems Administrator at Townsquare Interactive
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Senior Custom Software Development Consultant at a tech vendor with 501-1,000 employees
 

Stability Issues

Sentiment score
7.5
BigPanda is stable with minimal downtime and effective incident management, though occasional service interruptions are promptly addressed.
Sentiment score
8.0
Datadog is praised for its stability, reliability, minimal downtime, and effective resolution of occasional issues, ensuring continuous monitoring.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
Manager Observability at ICE
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
Software Engineer at Trianz
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
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
Enterprise solution architect at a manufacturing company with 10,001+ employees
 

Room For Improvement

BigPanda requires enhancements in analytics, usability, integration, UI, and cost while improving accuracy, dashboards, and multi-cloud observability.
Datadog faces performance, usability, and cost issues, needing better querying, integration, documentation, and AI features to improve adoption.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
Software Engineer at Trianz
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
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
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
Senior Software Engineer at Los Angeles Times Communications, LLC
 

Setup Cost

BigPanda offers cost-effective pricing at $200,000 annually, providing flexibility and competitive advantages for high-growth companies.
Datadog offers flexible pricing with a scalable pay-as-you-go model, though costs can increase with additional features.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
Software Engineer at Trianz
The setup cost for Datadog is more than $100.
Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
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
My experience with pricing, setup cost, and licensing is that it is really expensive.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
 

Valuable Features

BigPanda streamlines incident management with AI-driven alert deduplication, offering seamless integration and enhancing real-time incident resolution.
Datadog excels with its user-friendly platform, offering seamless integration and comprehensive monitoring to enhance management and incident response.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Manager Observability at ICE
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
Technical Lead
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
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
27th
Ranking in AIOps
12th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
IT Alerting and Incident Management (8th)
Datadog
Ranking in IT Infrastructure Monitoring
2nd
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of January 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 1.0% compared to the previous year. The mindshare of Datadog is 4.1%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
Datadog4.1%
BigPanda0.6%
Other95.3%
IT Infrastructure Monitoring
 

Q&A Highlights

BH
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Dec 10, 2020
 

Featured Reviews

Michael Wenn - PeerSpot reviewer
CEO / Co-Founder at Aiops ltd
Automated incident workflows have reduced alert noise and now improve response efficiency
In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.
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.
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Answers from the Community

BH
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Dec 8, 2020
Dec 8, 2020
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 monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log ...
2 out of 5 answers
reviewer802371 - PeerSpot reviewer
Service Assurance, Senior Manager at a computer software company with 1,001-5,000 employees
Oct 20, 2020
Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
reviewer1352679 - PeerSpot reviewer
IT Technical Architect at a insurance company with 5,001-10,000 employees
Oct 20, 2020
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 monitoring.  We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace.  Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future.  We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation.  We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing.  Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.   I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions.  You will need additional monitoring products to capture data and feed them.  Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment. Here's a quick pro/con list on Dynatrace & New Relic from our analysis. New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product. New Relic Cons: Requires lots of manual configurations to implement and support.  Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.   Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful.  High integration of infra and APM data for full-stack observability and engineering.  Topology and trace discovery is more reliable than other products or our CMDB.  Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting.  AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project. Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis.  Host, process, and service data is not available to query within the product.  Alarm processing lacks some granular controls. The Plug-in library is less robust. Good luck with your decision!
 

Top Industries

By visitors reading reviews
Financial Services Firm
27%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
7%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise11
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise98
 

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...
What do you like most about BigPanda?
One of the most valuable features of BigPanda is its user-friendly interface.
What is your experience regarding pricing and costs for BigPanda?
The pricing of BigPanda includes considerations for pricing, licensing, and setup costs of the solution.
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 do you like most about Datadog?
Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable.
 

Comparisons

 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
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
Find out what your peers are saying about BigPanda vs. Datadog and other solutions. Updated: December 2025.
880,745 professionals have used our research since 2012.