

BigPanda and Devo are both prominent products in their respective domains. Based on user reviews, Devo appears to often outperform BigPanda due to its comprehensive features, although BigPanda excels in areas like pricing and customer service.
Features: Users highlight BigPanda's strengths in event correlation, automation, and ease of use. Devo is praised for its advanced analytics, data visualization capabilities, and scalable data handling.
Room for Improvement: Users suggest that BigPanda can improve its integration capabilities, optimize its user interface, and enhance reporting functionalities. For Devo, users highlight the need for better troubleshooting tools, improved data ingestion options, and enhanced documentation.
Ease of Deployment and Customer Service: Users find BigPanda easier to deploy with responsive support, whereas Devo, although slightly more complex to deploy, has strong customer service that aids in the process.
Pricing and ROI: BigPanda is often seen as more affordable with a quicker ROI as per user reviews, while Devo justifies its higher cost with superior features and long-term benefits.
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.
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.
I rate the customer support a nine out of ten because of their timely technical guidance and responsiveness during the deployment and troubleshooting periods.
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.
Devo is a unified SIEM solution designed to handle growing log volumes and enterprise-scale monitoring requirements.
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.
It is stable and reliable for our security operations.
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.
This is particularly evident when dealing with failed login attempts and determining true versus false positives.
UI improvements, a simplified dashboard, or an easier reporting workflow could further improve analyst productivity.
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.
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.
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
When the analyst uses queries to search, it pulls the data quickly, in a second, which aids us greatly with the investigation.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 2.8% |
| Devo | 1.9% |
| Other | 95.3% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
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.
Devo offers powerful visual analytics, real-time data querying, and log integration capabilities within a cloud-native, multi-tenant architecture, supporting extended data retention ideal for long-term analysis and compliance.
Devo is recognized for its Activeboards, which facilitate visual analytics. High-speed search capabilities and real-time analytics enable efficient data manipulation and querying. Its multi-tenant architecture supports effective data segregation and customization tailored to distinct business needs, enhancing its value for handling complex log integrations. With extended data retention of 400 days and a cloud-native architecture, Devo is a robust platform for long-term analysis and compliance requirements. Though opportunities exist to improve browser stability on large searches, SOAR integrations, and its parser capabilities, Devo remains essential for incident response and security monitoring, offering centralized data storage and analysis.
What are Devo's most important features?Devo is extensively used in industries focused on incident response and digital forensics, centralizing data for security monitoring across hybrid environments. Organizations benefit from its ability to store and analyze aggregated logs, creating alerts and dashboards to enhance visibility for network and endpoint activities in multi-domain settings.
We monitor all AIOps 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.