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BigPanda vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
53rd
Average Rating
7.2
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
IT Alerting and Incident Management (12th), AIOps (18th)
Elastic Observability
Ranking in IT Infrastructure Monitoring
7th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
26
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), Log Management (11th), Container Monitoring (4th), Cloud Monitoring Software (7th)
 

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 Elastic Observability is 4.3%, up from 3.6% 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.
Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

Quotes from Members

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

Pros

"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."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"One of the most valuable features of BigPanda is its user-friendly interface."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"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 most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"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 solution is user-friendly and has good performance and certification."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Its diverse set of features available on the cloud is of significant importance."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"It's easy to deploy, and it's very flexible."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
 

Cons

"We had to use a partner for the deployment."
"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 solution could improve by having better integration."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"The cost of this product is too high compared to New Relic."
"Lacks sufficient dashboard features."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"BigPanda attempts a little of everything and fails at most."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"There's a steep learning curve if you've never used this solution before."
"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 configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"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."
"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."
"The price is the only issue in the solution. It can be made better and cheaper."
"The cost must be made more transparent."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
 

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."
"We pay $200,000 USD per year."
"The price of BigPanda is in the middle compared to other solutions."
"BigPanda is cheaper than the competitors."
"Elastic Observability's pricing could be better for small-scale users."
"The product is not that cheap."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"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."
"We will buy a premium license after POC."
"The product’s pricing needs improvement."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"One needs to pay for the licenses, and it is an annual subscription model right now."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
19%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
22%
Computer Software Company
15%
Manufacturing Company
8%
Government
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?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal. Simplifying the parsing of logs and manual efforts would also be beneficial.
 

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: December 2024.
824,053 professionals have used our research since 2012.