

BigPanda and DX NetOps are two widely-used solutions in the IT operations management space. Users are generally happier with the pricing and support of BigPanda, yet DX NetOps stands out with its advanced features, making it worth the investment for many users.
Features: Users appreciate BigPanda for its powerful integrations, real-time alerting capabilities, and streamlined incident management. DX NetOps is recognized for its robust monitoring, analytics features, and comprehensive infrastructure visibility.
Room for Improvement: Users suggest that BigPanda could improve its reporting functionality, add more customization options, and enhance data presentation. DX NetOps users wish for a more intuitive setup process, enhanced scalability, and better user onboarding.
Ease of Deployment and Customer Service: BigPanda is often praised for its straightforward deployment and responsive customer support. DX NetOps, although slightly more complex to deploy, benefits from detailed documentation and a knowledgeable support team.
Pricing and ROI: BigPanda is noted for its competitive pricing and quick return on investment. DX NetOps, despite being more costly upfront, delivers strong long-term returns with its feature-rich platform.
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.
Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
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.
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
For technical support, we have only had to address password resets and alert mismatching.
They are fast, responsive, and have technical expertise.
Everything about DX NetOps is perfect, including the interface, technical support, and pricing.
Creating a support case based on priority allows for immediate responses.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
I rate the scalability of BigPanda at eight.
The product is very scalable, to the maximum.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
DX NetOps is somewhat convoluted, and some of the programming constructs can be documented or driven through languages such as Python, Perl, and shell scripting, but they have their proprietary language, which may not be very user-friendly.
Different communication methods such as agent-based connections, TCP/IP, or secured connections are necessary—features not currently available in DX NetOps and Spectrum.
I would particularly like it to integrate with the Symantec portfolio and the Carbon Black portfolio.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
I think the pricing is expensive.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
The best features I've seen so far with DX NetOps are that it can work with large scale systems, and it has a lot of functionalities and matrices.
The most valuable feature in DX NetOps is the topological view, which is the network topological view.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 2.8% |
| DX NetOps | 1.8% |
| Other | 95.4% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.
BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.
What are the key features of BigPanda?BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.
DX NetOps offers robust network monitoring capabilities along with AI-driven automation and predictive analytics, making it a valuable tool for ensuring network performance and reliability across hybrid environments.
DX NetOps is designed to provide comprehensive visibility into network infrastructure, focusing on root cause analysis, ease of setup, scalability, and stability. Its features allow for proactive issue identification through custom dashboards, while integration with IT systems ensures seamless connectivity. Performance management and insightful analytics enhance network visibility, aiding resource allocation in hybrid environments. Organizations utilize DX NetOps for monitoring, alerting, and analytics across network devices, benefiting from integration with platforms like ServiceNow.
What are the key features of DX NetOps?DX NetOps is widely implemented across telecommunications, financial services, and manufacturing industries. Organizations leverage its capabilities for monitoring extensive network infrastructures, ensuring optimal performance through integration with existing platforms and enhancing decision-making processes with detailed network analytics.
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