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BigPanda vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 1, 2024
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
54th
Ranking in AIOps
18th
Average Rating
7.2
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
7.5
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
Mar 23, 2024
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
Sep 19, 2024
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.

Quotes from Members

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

Pros

"The main thing that we like about BigPanda is the user interface."
"The program is very stable."
"A user-friendly solution."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"One of the most valuable features of BigPanda is its user-friendly interface."
"The best of a bad lot was the error message deduping."
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"Dashboards and their versatility are among the most valuable features."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"It has a nice UI."
"Datadog has clear dashboards and good documentation."
"Synthetic testing is by far the most valuable feature in our organization."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"The most valuable aspects of the product include the APM and profiler."
"Straightforward to integrate and automate."
 

Cons

"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"BigPanda attempts a little of everything and fails at most."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"The solution could improve by having better integration."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"Lacks sufficient dashboard features."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"The usability needs to improve, because it is a pure code environment."
"They need to implement template variables into the message response body."
"There is occasional UI slowness and bugs."
"The monitors need improvement."
"Some of the interface is still confusing to use."
"They could have better log reporting."
"I would like better navigability across pages."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"More granular control over dashboard sharing. Timeboard sharing."
 

Pricing and Cost Advice

"BigPanda is cheaper than the competitors."
"We pay $200,000 USD per year."
"The price of BigPanda is in the middle compared to other solutions."
"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"It has a module-based pricing model."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"This solution is budget friendly."
"They prefer monthly subscriptions."
"Our licensing fees are paid on a monthly basis."
"The cost is high and this can be justified if the scale of the environment is big."
"The solution's pricing depends on project volume."
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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
HK
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.
RM
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%
Insurance Company
6%
Educational Organization
36%
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.
814,763 professionals have used our research since 2012.