Datadog and BigPanda are impactful tools in the DevOps and monitoring space. Datadog seems to have the upper hand due to its extensive features in full-stack visibility and real-time data insights.
Features: Datadog provides full-stack visibility, seamless integration with numerous cloud providers like AWS, and extensive data handling capabilities for real-time insights. Its customizable dashboards and robust alerting mechanisms enhance infrastructure monitoring. BigPanda, however, leverages AI for incident management, allowing automation that reduces noise and enhances anomaly detection.
Room for Improvement: Users report that Datadog's pricing model is complex, leading to high ownership costs. Improvements are needed in its documentation and support for advanced queries. BigPanda could enhance its dashboards and platform integrations for deeper analytics, aiming for better synchronization with existing tools to refine its incident response automation.
Ease of Deployment and Customer Service: Datadog offers flexible deployment across private, public, and hybrid clouds, though this increases setup complexity. Customer support can be mixed, with quick initial responses but slower resolutions for complex issues. BigPanda operates effectively in public cloud environments and is praised for proactive customer support, maintaining reliability as it expands.
Pricing and ROI: While Datadog's pricing is manageable via AWS Marketplace, feature expansions can lead to cost increases. Its ROI comes from time savings and enhanced operational visibility. BigPanda offers competitive pricing with efficient licensing options, appreciated for improving incident response times and delivering cost efficiencies.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Their collaboration was good, and I would rate them nine out of ten.
For technical support, we have only had to address password resets and alert mismatching.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
It handles large volumes of alerts without limitations.
BigPanda facilitates better collaboration between IT teams by providing a shared view of incidents and requests.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
BigPanda is now stable.
I have not encountered issues like lagging or crashing with BigPanda.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
Having more precise error data in BigPanda would enable me to resolve issues more quickly and efficiently.
This would help end users understand alert enrichment, configurations, alert noise, alert behavior, and alert statistics.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
The setup cost for Datadog is more than $100.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Even during suppressions when other tools are unavailable, BigPanda provides alerts, enabling me to track incidents effectively, follow up, and resolve them promptly.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
Product | Market Share (%) |
---|---|
Datadog | 5.0% |
BigPanda | 0.9% |
Other | 94.1% |
Company Size | Count |
---|---|
Small Business | 6 |
Large Enterprise | 11 |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
BigPanda Autonomous Operations platform is a cutting-edge solution that 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.
BigPanda’s Autonomous Operations platform increases the ease with which IT administrators are able to both manage their systems and respond to issues that arise. It combines machine learning and automation, which not only provide administrators with reliable suggestions concerning future issues that may arise, but also allows for certain tasks to be assigned to the system itself. These allow organizations to save both time and resources that can be dedicated to more critical tasks.
BigPanda’s Autonomous Operations platform possesses a simplified and unified user interface, enabling users to manage the solution from one place. The UI allows users to view and manage all of the information and controls that IT teams need to be able to easily access, providing a level of visibility that ensures users will be able to view all of their system’s most up-to-date and critical information at any time that they wish.
Benefits of BigPanda Autonomous Operations Platform
Some the benefits of using BigPanda’s Autonomous Operations platform include:
Reviews from Real Users
BigPanda’s Autonomous Operations platform stands out among its competitors for a number of reasons. Two major ones are its centralized user interface and its ability to easily integrate with other security solutions. The centralized UI gives users the ability to clearly see all their alert data in a single location without having to search for it. Its easy integration allows administrators to augment their IT security capabilities when they find it necessary to do so.
PeerSpot user Larry C., the principal engineer in charge of site operations for a tech vendor, notes this benefit when he writes, "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."
Another PeerSpot user, who is an independent entrepreneur in the IT environment at a tech services company, notes the flexibility of this platform when they write “BigPanda integrates well with other solutions, such as WatchGuard.”
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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