We performed a comparison between BigPanda and Datadog based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"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."
"The program is very stable."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The solution is user-friendly and has good performance and certification."
"The best of a bad lot was the error message deduping."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"I don't have to worry about upgrades with the AWS version."
"The installation step is pretty straightforward."
"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."
"The initial setup is very straightforward."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"Datadog is constantly adding new features."
"The cost of this product is too high compared to New Relic."
"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."
"BigPanda attempts a little of everything and fails at most."
"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 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."
"We need more advanced querying against logs."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"The solution needs to integrate AI tools."
"It does not have the best interface."
BigPanda is ranked 43rd in IT Infrastructure Monitoring with 12 reviews while Datadog is ranked 2nd in IT Infrastructure Monitoring with 137 reviews. BigPanda is rated 7.2, while Datadog is rated 8.6. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". BigPanda is most compared with ServiceNow, Moogsoft, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and Splunk Enterprise Security, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability. See our BigPanda vs. Datadog report.
See our list of best IT Infrastructure Monitoring vendors and best AIOps vendors.
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.
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!
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
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.
Thanks