Try our new research platform with insights from 80,000+ expert users

BigPanda vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 1, 2024

Review summaries and opinions

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

Customer Service

No sentiment score available
BigPanda's customer support varies, with some users praising promptness and effectiveness, while others face delays and poor availability.
Sentiment score
7.6
Datadog's customer service is generally praised for responsiveness and expertise, though some users note delays and lack of phone support.
 

Room For Improvement

Sentiment score
6.3
BigPanda requires better cost efficiency, integrations, observability, AI, visualization, UI, multi-cloud environment, event correlation, and automation improvements.
Sentiment score
5.6
Datadog users face challenges with billing, integration, interface complexity, and desire more flexibility, support, and improved features.
 

Scalability Issues

No sentiment score available
BigPanda is noted for managing large infrastructures, though some users express concerns about scalability and additional licensing needs.
Sentiment score
7.9
Datadog offers scalable performance and customization but users should monitor rising costs and potential challenges with complex architectures.
 

Setup Cost

No sentiment score available
BigPanda costs $200,000 annually, with users finding it reasonably priced, flexible in setup, and sometimes cheaper than competitors.
Sentiment score
6.3
Datadog's pricing varies by organization size, requiring careful monitoring and planning due to complex usage-based billing and potential hidden costs.
 

Stability Issues

Sentiment score
5.8
BigPanda is stable but users have reliability concerns about alerts and incidents, partly due to its newness and unfamiliarity.
Sentiment score
8.0
Datadog is praised for its stability and reliable performance, effectively managing disruptions and supporting diverse operational needs.
 

Valuable Features

No sentiment score available
BigPanda excels with a user-friendly interface, seamless integrations, AI-driven event correlation, anomaly detection, and efficient notifications.
Sentiment score
8.4
Datadog excels in real-time monitoring, intuitive interface, robust integrations, efficient alerts, and comprehensive performance tracking and system reliability.
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
54th
Ranking in AIOps
18th
Average Rating
7.2
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
IT Alerting and Incident Management (12th)
Datadog
Ranking in IT Infrastructure Monitoring
2nd
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (1st), Cloud Security Posture Management (CSPM) (6th)
 

Mindshare comparison

As of November 2024, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 1.1%, up from 1.0% compared to the previous year. The mindshare of Datadog is 5.8%, down from 6.8% 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

Ankit-Mathur - PeerSpot reviewer
Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts
For new users, I would advise using BigPanda for its comprehensive alert monitoring and integration with ServiceNow. Its mapping capabilities and user-friendly interface make it valuable for incident analysis and prioritization. As users become more familiar with the tool, its full potential will become apparent, enhancing efficiency and effectiveness over time. It is easy for someone to learn to use BigPanda for the first time. We start with basic examples that everyone can understand, then provide verbal introductions followed by hands-on training over two weeks. We encourage making mistakes and asking questions to ensure understanding. It depends on the trainer's approach, but with proper guidance, anyone can learn effectively. Overall, I would rate BigPanda as a five out of ten. For it to be a perfect ten, it would need to consistently provide accurate alerts without requiring manual validation. This means it should effectively suppress similar incidents, eliminating the need for constant monitoring. Once it reaches this level of reliability, BigPanda would be exceptional.
Kevin Palmer - PeerSpot reviewer
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.
report
Use our free recommendation engine to learn which IT Infrastructure Monitoring solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

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
23%
Computer Software Company
18%
Manufacturing Company
9%
Healthcare Company
6%
Educational Organization
37%
Computer Software Company
11%
Financial Services Firm
10%
Manufacturing Company
7%
 

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.
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

 

Learn More

 

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: October 2024.
816,406 professionals have used our research since 2012.