BigPanda vs Datadog comparison

BigPanda and Datadog are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #23 with an average rating of 8.3, while Datadog is ranked #2 with an average rating of 8.7. BigPanda holds a 0.6% mindshare in IM, compared to Datadog’s 3.7% mindshare. Additionally, 84% of BigPanda users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

BigPanda

Read 19 BigPanda reviews

3,607 Views
1,912 Comparison Views

84% willing to recommend

Datadog

Read 210 Datadog reviews

32,681 Views
9,477 Comparison Views

97% willing to recommend

BigPanda

Datadog

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

Datadog and BigPanda compete in the monitoring and IT service management category. Based on feature set comparisons, Datadog seems to have the upper hand due to its comprehensive integration capabilities and ease of use for standard monitoring tasks.

Features: Datadog offers a hosted platform, eliminating the need for infrastructure management, and features an intuitive tagging system and automation for alerts. It provides seamless integration with numerous third-party services, enhancing its ability to monitor diverse environments. BigPanda focuses on event correlation and alert management, reducing noise and enabling effective incident management.

Room for Improvement: Datadog faces performance and flexibility issues in customization and metrics handling, with calls for better pricing models and documentation. Users seek enhanced notification systems and integrations. BigPanda requires further development in its integration features and AI capabilities, as well as improved synchronization with configuration management.

Ease of Deployment and Customer Service: Datadog provides flexible deployment across clouds with generally strong customer support, although response quality can be inconsistent. BigPanda is cloud-focused, receiving positive feedback for its responsive and effective customer service.

Pricing and ROI: Datadog's pricing is tied to resource consumption, which can lead to high costs if unmanaged. Users appreciate its flexible model but desire clearer cost predictability. ROI is typically seen in faster issue resolutions. BigPanda offers competitive pricing with flexible licenses, though its ROI feedback varies among users.

To learn more, read our detailed BigPanda vs. Datadog Report (Updated: April 2026).

Buyer's Guide

BigPanda vs. Datadog

April 2026

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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

6.5

Datadog is praised for high ROI, cost-effectiveness, reducing downtime, optimizing infrastructure, and improving efficiency and reliability.

BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.

reviewer2691138

Technical Lead

BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.

CHANTI BANOTH

Software Engineer at Trianz

For more quotes and insights, download the BigPanda report

Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.

reviewer2767362

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.

SurajYadav

Network Security Consultant at NTT DATA

For more quotes and insights, download the Datadog report

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 responsive and helpful, though some users seek faster resolutions and consistent communication for complex issues.

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.

Atharva Jagdale

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.

Michael Wenn

CEO / Co-Founder at Aiops ltd

For technical support, we have only had to address password resets and alert mismatching.

reviewer2691138

Technical Lead

For more quotes and insights, download the BigPanda report

When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.

Laurie Mordick

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.

Thomas Harrison

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.

Nikki L.

Security Engineer at Invitation Homes

For more quotes and insights, download the Datadog report

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 offers scalable performance across varied environments, integrates with cloud services, but requires budget monitoring as data grows.

It handles large volumes of alerts without limitations.

Sneha Vigneshwari

Works

We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.

CHANTI BANOTH

Software Engineer at Trianz

I rate the scalability of BigPanda at eight.

RajneeshKumar3

Manager Observability at ICE

For more quotes and insights, download the BigPanda report

Datadog's scalability has been great as it has been able to grow with our needs.

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Since it is a SaaS platform, we did not have to worry about backend scaling.

SurajYadav

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.

Kallamuddin Ansari

Cyber Security Consultant at ProTechmanize

For more quotes and insights, download the Datadog report

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, consistent uptime, swift issue resolution, and robust performance, even during peak times.

BigPanda is now stable.

Sneha Vigneshwari

Works

I would rate the availability of BigPanda at nine because it's almost 99.99% available.

RajneeshKumar3

Manager Observability at ICE

However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.

CHANTI BANOTH

Software Engineer at Trianz

For more quotes and insights, download the BigPanda report

Metrics collection and alerting have been consistent in day-to-day use.

Kallamuddin Ansari

Cyber Security Consultant at ProTechmanize

Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.

Nikki L.

Security Engineer at Invitation Homes

Datadog seems stable in my experience without any downtime or reliability issues.

Daniel Dolan

Full Stack Developer at Townsquare Interactive

For more quotes and insights, download the Datadog report

Room For Improvement

BigPanda requires enhancements in analytics, usability, integration, UI, and cost while improving accuracy, dashboards, and multi-cloud observability.

Datadog should enhance AI, improve customization, offer real-time insights, and optimize transparency for better user experience and performance.

A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.

Sneha Vigneshwari

Works

It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.

CHANTI BANOTH

Software Engineer at Trianz

If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.

Atharva Jagdale

Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees

For more quotes and insights, download the BigPanda report

It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.

reviewer2767305

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.

Andrei Mita

Service Manager at PwC

Having more transparent and granular cost control features would make it easier to manage usage.

SurajYadav

Network Security Consultant at NTT DATA

For more quotes and insights, download the Datadog report

Setup Cost

BigPanda offers cost-effective pricing at $200,000 annually, providing flexibility and competitive advantages for high-growth companies.

Datadog offers flexible, usage-based pricing favored by SMEs, but enterprise users face complexity and potential high costs for new features.

The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.

CHANTI BANOTH

Software Engineer at Trianz

For more quotes and insights, download the BigPanda report

The setup cost for Datadog is more than $100.

reviewer1599867

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.

Kallamuddin Ansari

Cyber Security Consultant at ProTechmanize

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.

Laurie Mordick

Applications Web Services Technical Engineer at Ace Hardware

For more quotes and insights, download the Datadog report

Valuable Features

BigPanda streamlines incident management with AI-driven alert deduplication, offering seamless integration and enhancing real-time incident resolution.

Datadog offers seamless integration, real-time monitoring, and cost-effective performance insights, making it highly favored for centralized application management.

Its automation has significantly improved incident response times, reducing the process to within one minute.

Sneha Vigneshwari

Works

It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.

RajneeshKumar3

Manager Observability at ICE

BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.

reviewer2691138

Technical Lead

For more quotes and insights, download the BigPanda report

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.

Timothy Spangler

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.

reviewer2767245

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.

Nikki L.

Security Engineer at Invitation Homes

For more quotes and insights, download the Datadog report

Categories and Ranking

BigPanda

Ranking in IT Infrastructure Monitoring

23rd

Ranking in AIOps

9th

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

IT Alerting and Incident Management (10th)

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 (4th), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Mindshare comparison

As of May 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 0.9% compared to the previous year. The mindshare of Datadog is 3.7%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Datadog	3.7%
BigPanda	0.6%
Other	95.7%

IT Infrastructure Monitoring

Q&A Highlights

SystemsEngineer234z

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

Dec 10, 2020

Any advice about APM solutions?

We are currently going through a paper-based analysis to select an Enterprise APM solution. Our Contenders are 1. Dynatrace 2. Cisco(AppDynamics) 3. Broadcom DX-APM Shortlisted based on existing relationships with other products and services they provide. We discounted New Relic- despite their growing capability - as they are yet to enter the enterprise APM solution scene. With regards to your response "We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing .." : Will you be willing to expand on Appd - what was your experience and issues w.r.t licensing. These could help us with our evaluation. Much appreciated. Regards Adrian

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Featured Reviews

Michael Wenn

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.

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Dhroov Patel

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.

Read full review

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Answers from the Community

SystemsEngineer234z

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

Dec 8, 2020

Any advice about APM solutions?

2 out of 5 answers

reviewer802371

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.

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reviewer1352679

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!

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Manufacturing Company

Healthcare Company

Outsourcing Company

Financial Services Firm

15%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	82
Midsize Enterprise	47
Large Enterprise	100

Questions from the Community

Any advice about APM solutions?

See all answers

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.

See all answers

What needs improvement with BigPanda?

There is room for improvement in BigPanda, and I believe they are fixing this. Agentic operations exist in these types of tools, and companies are catching up. Logic Monitor has a slightly differen...

See all answers

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...

See all answers

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 ...

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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.

See all answers

Comparisons

PagerDuty Operations Cloud vs BigPanda

Compared 12% of the time

Moogsoft vs BigPanda

Compared 8% of the time

Splunk ITSI (IT Service Intelligence) vs BigPanda

Compared 6% of the time

ServiceNow vs BigPanda

Compared 6% of the time

BMC Helix Operations Management with AIOps vs BigPanda

Compared 3% of the time

More BigPanda Competitors

Dynatrace vs Datadog

Compared 5% of the time

New Relic vs Datadog

Compared 3% of the time

Splunk AppDynamics vs Datadog

Compared 3% of the time

Azure Monitor vs Datadog

Compared 2% of the time

Splunk Enterprise Security vs Datadog

Compared 2% of the time

More Datadog Competitors

Product Reports

Buyer's Guide

BigPanda

May 2026

Download BigPanda product report

Buyer's Guide

Datadog

May 2026

Download Datadog product report

Overview

BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.

BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.

What are the key features of BigPanda?

Root Cause Analysis: Efficient identification of the sources of incidents.
Alert Deduplication: Reduces alert noise by consolidating duplicates.
Event Correlation: Connects related alerts for easier incident management.
Automation: Streamlines processes for faster response times.
Seamless Integration: Connects with tools like ServiceNow and Teams.

What benefits or ROI can users find in reviews?

Increased Efficiency: Automates incident management tasks.
Operational Insights: Provides valuable analytics for strategic decisions.
Improved Collaboration: Integrates notifications with Slack and other platforms.
Reduced Alert Fatigue: Deduplication and suppression improve focus on critical issues.

BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.

BigPanda

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

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

Buyer's Guide

BigPanda vs. Datadog

April 2026

Free Report: BigPanda vs. Datadog

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We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.