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Most Helpful Review
Find out what your peers are saying about BigPanda vs. Nagios XI and other solutions. Updated: September 2020.
441,478 professionals have used our research since 2012.
Quotes From Members

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

Pros
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private.""This solution makes it a lot easier to figure out trends within very different data sources, which makes it easy to see why something is misbehaving.""The features I find most valuable is the querying and alerting capabilities.""People are very pleased with the implementation.""The most valuable aspects of the solution are its ease of use and its ease of implementation.""No issues with stability."

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"The program is very stable.""Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue.""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 main thing that we like about BigPanda is the user interface."

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"The most valuable feature is the monitoring of processes.""This is a very good solution and it is simple to use, for any company.""The most valuable feature is the dashboard, where I can have a single screen that provides a summary for hundreds of servers.""The most valuable feature is its support for different types of devices, where it can use all of the equipment that you need.""An excellent solution that is easy and intuitive to implement.""The features I've found the most useful are the plug-ins, the fact that you can connect almost everything to it. That's very useful."

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Cons
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack.""I would like to see more out-of-the-box dashboards for in-depth application monitoring of standard products that are out there.""In the new version, I would love to see more prediction capabilities. It would be great if one could see the alerts get a little more enriched with information and become more human-friendly instead of the technical stuff that they put in there. I think those would be really awesome outcomes to get.""The implementation is a long process that should be improved.""They could make it more easy to plug-in data so that a nontechnical person will be able to use it, like accountants or finance people. That way they don't have to ask us.""It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for the single click operations as well relational data locality."

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"The usability needs to improve, because it is a pure code environment.""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.""The cost of this product is too high compared to New Relic."

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"The interface could be more user-friendly.""I would like to see support for notification via SMS.""I would like a much easier GUI so that I can delete events and logs, which will free up a lot of space.""I would like to see more customization in the network map because it is a bit tricky to use it.""They need more documentation for the plugins.""There's room for improvement in the visibility, and in the ability to extract information. Stuff like this should be more simple."

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Pricing and Cost Advice
"Educational pricing is available for this solution.""We were given a year's worth of service. It was included within our ELA. We were trying to do a proof of concept, which is almost over now.""Different locations require different setups. In your terms, around 300 to around 400K USD."

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"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license.""We pay $200,000 USD per year."

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"We are using the free version of this solution.""This solution is very expensive, at approximately $5,000 USD when I purchased it, which is why I haven't upgraded my version in several years.""The licensing fees for this solution are approximately $3,000 USD per year.""The pricing is high with separate licensing for the product and support."

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Questions from the Community
Top Answer: It’s in INR. Our data is on four sites and these are in the development phase. Different locations require different… more »
Top Answer: It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for… more »
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Also Known As
Wavefront, Wavefront by VMware, VMware Tanzu Observability
Learn
VMware
BigPanda
Nagios
Overview

VMware Tanzu Observability provides metrics-driven analytics at massive scale, so you can get the most out of your cloud-native apps.

BigPanda Autonomous Operations platform helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations. Customers such as Intel, TiVO, Turner Broadcasting and Workday rely on BigPanda to reduce their operating costs, improve service availability and performance, and de-risk and accelerate their digital transformation initiatives. Founded in 2012, BigPanda is backed by top-tier investors including Sequoia Capital, Mayfield, and Battery Ventures. Visit www.bigpanda.io for more information.

Nagios XI provides monitoring of all mission-critical infrastructure components including applications, services, operating systems, network protocols, systems metrics, and network infrastructure. Hundreds of third-party addons provide for monitoring of virtually all in-house and external applications, services, and systems.

Offer
Learn more about VMware Tanzu Observability by Wavefront
Learn more about BigPanda
Learn more about Nagios XI
Sample Customers
Box, Intuit, Workday, Groupon, British Gas, SpaceApe, Marketo, DoordDash, LyftNagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management ProcessNagios has over one million users globally, including AOL, DHL, McAfee, MCI, MTV, Yahoo!, Universal, Toshiba, Sony, Siemens, and JPMorgan Chase.
Top Industries
VISITORS READING REVIEWS
Computer Software Company42%
Comms Service Provider13%
Retailer8%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company41%
Comms Service Provider15%
Media Company12%
Insurance Company5%
REVIEWERS
Manufacturing Company27%
Financial Services Firm13%
Comms Service Provider13%
Non Tech Company7%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider19%
Media Company7%
Retailer6%
Find out what your peers are saying about BigPanda vs. Nagios XI and other solutions. Updated: September 2020.
441,478 professionals have used our research since 2012.
BigPanda is ranked 24th in IT Infrastructure Monitoring with 3 reviews while Nagios XI is ranked 8th in IT Infrastructure Monitoring with 7 reviews. BigPanda is rated 8.0, while Nagios XI is rated 8.0. The top reviewer of BigPanda writes "Alert aggregation and the correlation platform are extremely useful, streamlining our incident management". On the other hand, the top reviewer of Nagios XI writes "Collects large amounts of data to monitor our network, switches, and firewall". BigPanda is most compared with Moogsoft, Splunk, PagerDuty, ServiceNow and Zabbix, whereas Nagios XI is most compared with Nagios Core, Zabbix, Centreon, SolarWinds NPM and ITRS Geneos. See our BigPanda vs. Nagios XI report.

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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.