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BigPanda vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 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 optimizes operations with significant savings and efficiency for managing over 10,000 weekly events, outperforming tools like Netcool.
Sentiment score
7.0
Datadog enhances visibility, reduces downtime, saves costs, and optimizes workflows by integrating features and improving operational efficiency.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
 

Customer Service

Sentiment score
6.0
BigPanda's customer service is usually responsive and effective, though communication delays and variability in experiences are noted.
Sentiment score
7.1
Datadog's customer service is responsive and knowledgeable, though some users report delays with complex queries and phone support.
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.
Their collaboration was good, and I would rate them nine out of ten.
For technical support, we have only had to address password resets and alert mismatching.
 

Scalability Issues

Sentiment score
6.6
BigPanda is praised for scalability and integration, with minor licensing concerns and varied experiences with server management.
Sentiment score
7.6
Datadog efficiently scales with cloud services, offering seamless expansion, though users highlight the importance of monitoring pricing.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
It handles large volumes of alerts without limitations.
BigPanda facilitates better collaboration between IT teams by providing a shared view of incidents and requests.
 

Stability Issues

Sentiment score
7.0
BigPanda is highly stable with minimal issues, reliable alerts, and efficient incident management, despite occasional slowdowns during heavy traffic.
Sentiment score
8.0
Datadog offers reliable and stable performance with minimal downtime, impressive uptime, and efficient monitoring, even during peak periods.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
BigPanda is now stable.
I have not encountered issues like lagging or crashing with BigPanda.
 

Room For Improvement

BigPanda requires enhancement in AI integration, interface design, reporting, observability, and automation to improve user experience and reduce costs.
Datadog needs improved performance, interface simplification, clearer billing, better integration, customization, analytics, documentation, security, and mobile app integration.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
Having more precise error data in BigPanda would enable me to resolve issues more quickly and efficiently.
This would help end users understand alert enrichment, configurations, alert noise, alert behavior, and alert statistics.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
 

Setup Cost

BigPanda offers flexible pricing appealing to enterprises with mid-range costs, seen as more affordable than competitors.
Datadog offers flexible pricing based on usage and organization size, with potential for high costs if not monitored closely.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
The setup cost for Datadog is more than $100.
 

Valuable Features

BigPanda enhances incident response with alert deduplication, platform integration, AI/ML, and custom dashboards for improved service reliability.
Datadog offers intuitive, comprehensive monitoring and integrations, enhancing infrastructure and application management with real-time insights and efficient operations.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Even during suppressions when other tools are unavailable, BigPanda provides alerts, enabling me to track incidents effectively, follow up, and resolve them promptly.
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.
The technology itself is generally very useful.
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
27th
Ranking in AIOps
7th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
19
Ranking in other categories
IT Alerting and Incident Management (9th)
Datadog
Ranking in IT Infrastructure Monitoring
2nd
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (2nd), Cloud Security Posture Management (CSPM) (7th)
 

Mindshare comparison

As of August 2025, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.9%, down from 1.0% compared to the previous year. The mindshare of Datadog is 5.4%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

Q&A Highlights

BH
Dec 10, 2020
 

Featured Reviews

Michael Wenn - PeerSpot reviewer
Experience boosts operational efficiency while requiring smoother setup and cost adjustments
I am a customer and end user of the BigPanda solution. My role is CEO/co-founder at AI Ops Limited, and I can be reached at mike.van@aiops.co.uk. I have opted to receive email notifications relevant to my review, which I can opt out of at any time. If I don't already have an account on peerspot.com, PeerSpot will create an account and email me login credentials.
reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
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Answers from the Community

BH
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
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
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
24%
Computer Software Company
16%
Manufacturing Company
10%
Insurance Company
6%
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 for BigPanda is reasonable compared to other event management tools, given its advantages.
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: July 2025.
865,295 professionals have used our research since 2012.