BigPanda vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
43rd
Average Rating
7.2
Number of Reviews
12
Ranking in other categories
IT Alerting and Incident Management (10th), AIOps (16th)
Elastic Observability
Ranking in IT Infrastructure Monitoring
10th
Average Rating
7.8
Number of Reviews
22
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (8th)
 

Market share comparison

As of June 2024, in the IT Infrastructure Monitoring category, the market share of BigPanda is 0.7% and it decreased by 34.7% compared to the previous year. The market share of Elastic Observability is 4.0% and it increased by 27.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
Unique Categories:
IT Alerting and Incident Management
2.4%
AIOps
2.4%
Application Performance Monitoring (APM) and Observability
6.8%
Log Management
1.2%
 

Featured Reviews

CS
Jul 21, 2022
Bad AI with primitive visualization and not configurable
We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure development with AI. Unfortunately, BigPanda attempts a little bit of everything and fails at most.  The AI, in particular, was worthless. The visualization is primitive and not configurable. The only thing they…
SM
Jan 22, 2024
Ensures that the data is searchable and maintainable but it requires additional configuration and expertise to fully optimize its usage
We use it to handle significant volumes of data sourced from various network monitoring protocols like NetFlow and SNMP We're capable of monitoring fleet-based applications as well as custom applications effectively. This capability provides us with robust performance insights, enabling us to…

Quotes from Members

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

Pros

"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"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 program is very stable."
"The solution is user-friendly and has good performance and certification."
"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 event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"A user-friendly solution."
"The architecture and system's stability are simple."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The product has connectors to many services."
"It has always been a stable solution."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"We can view and connect different sources to the dashboard using it."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
 

Cons

"The solution could improve by having better integration."
"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."
"Lacks sufficient dashboard features."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"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."
"We had to use a partner for the deployment."
"BigPanda attempts a little of everything and fails at most."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"There is room for improvement regarding its APM capabilities."
"The interface could be improved."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"Elastic Observability needs to have better standardization, logging, and schema."
 

Pricing and Cost Advice

"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."
"The price of BigPanda is in the middle compared to other solutions."
"We pay $200,000 USD per year."
"The product is not that cheap."
"Elastic Observability's pricing could be better for small-scale users."
"The product’s pricing needs improvement."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"We will buy a premium license after POC."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"We have been using the open-source version."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
16%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
8%
Healthcare Company
6%
 

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 Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
I rate the pricing a five out of ten. The product is not that cheap.
What needs improvement with Elastic Observability?
The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configurati...
 

Learn More

 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about BigPanda vs. Elastic Observability and other solutions. Updated: June 2024.
787,061 professionals have used our research since 2012.