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BigPanda vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 16, 2024
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
53rd
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)
ScienceLogic
Ranking in IT Infrastructure Monitoring
26th
Ranking in AIOps
9th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
42
Ranking in other categories
Event Monitoring (8th), Unified Communications Monitoring (1st), Network Monitoring Software (32nd), Server Monitoring (12th), IT Operations Analytics (8th), Cloud Monitoring Software (21st)
 

Mindshare comparison

As of December 2024, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 1.1%, up from 1.1% compared to the previous year. The mindshare of ScienceLogic is 1.9%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

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.
GauravSingh4 - PeerSpot reviewer
Great integrations, power flow, and good support
They need a little more self-service. Some of the places where there's still a dependency on defense logic. If those could be eliminated, that would be ideal. They've done a fantastic job eliminating a lot of those dependencies and there's a lot of self-service. However, some of the areas where we could have it connect to, for example, Splunk or ServiceNow, in a self-care version versus having to go back to their engineers, that's an area where they could do a little more. There are still a lot of engineers who get involved versus if it's a little more API-driven and self-served dashboard connections. Doing it the other way would just make life easier for users.

Quotes from Members

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

Pros

"A user-friendly solution."
"The main thing that we like about BigPanda is the user interface."
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"The best of a bad lot was the error message deduping."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"One of the valuable features is rapid dashboards."
"The most valuable features of ScienceLogic are AI and machine learning."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"The solution provides good infra-monitoring features."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"The power flow is great."
"The best feature is the highly flexible graphs."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
 

Cons

"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"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."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"The usability needs to improve, because it is a pure code environment."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"BigPanda attempts a little of everything and fails at most."
"The product must educate its strategic partners for deployment."
"They should improve their support process and add chat."
"From a performance perspective, it needs to improve a lot."
"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus."
"They need a little more self-service."
"There are often bugs in new releases."
"They should add CLI command modes​ and scripts for high performance."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
 

Pricing and Cost Advice

"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."
"BigPanda is cheaper than the competitors."
"I'm not the best person to discuss pricing, but what I do know is that it's a use-and-go structure. You use this much storage and pay this much for it. That's how it is. Every time, we continue to add a large amount of data to the environment."
"It comes with the OS built in, so no need to purchase an OS license or DB license."
"The pricing model for ScienceLogic could improve."
"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."
"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."
"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."
"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."
"Pricing between the two is quiet large therefore you can save some money if you don't require to collect all info on each device."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
19%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
16%
Financial Services Firm
10%
Manufacturing Company
9%
Government
9%
 

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 do you like most about ScienceLogic?
The tool is quite easy to deploy, and it offers very good support.
What is your experience regarding pricing and costs for ScienceLogic?
My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price.
What needs improvement with ScienceLogic?
The product's reporting functionalities have certain shortcomings, making it an area where improvements are required. The tool is more or less good. The tool needs to improve its APM capabilities.
 

Comparisons

 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell
Find out what your peers are saying about BigPanda vs. ScienceLogic and other solutions. Updated: November 2024.
823,875 professionals have used our research since 2012.