

Prisma Cloud by Palo Alto Networks and BigID compete in the security domain, focusing on different aspects of data protection and compliance. Prisma Cloud holds a slight advantage due to its comprehensive cloud security capabilities, offering extensive protection across multi-cloud environments, while BigID specializes in data governance and privacy.
Features:Prisma Cloud provides dynamic workload identity creation, real-time scanning, and comprehensive cloud security features, ensuring visibility and control across various environments. It offers cloud network security and workload protection. BigID excels in data discovery and classification, providing insights into both structured and unstructured data. It offers predefined sensitive information labels and integrates seamlessly with other platforms, enhancing data governance.
Room for Improvement:Prisma Cloud needs better integration, refined automation processes, improved RQL scripting, and more robust API security. Support for additional cloud providers is also necessary. BigID requires improvements in automation, UI navigation, data classification capabilities, and scan reliability. Enhancing API flexibility would also be beneficial for BigID.
Ease of Deployment and Customer Service:Prisma Cloud is favored for its deployment versatility across multi-cloud environments but faces challenges in complex settings. Customer service is mixed, with some users reporting proficient support and others facing inconsistent response times. BigID, primarily used in private cloud environments, is praised for its responsive service and technical support, offering comprehensive assistance across deployment options.
Pricing and ROI:Prisma Cloud is viewed as expensive but justifiable due to its extensive features, providing significant ROI through risk reduction and improved security posture. It offers flexible licensing models, though billing clarity needs improvement. BigID's pricing reflects its premium status, perceived as costly for extensive data management tasks but valuable in data classification and governance environments. ROI for both solutions depends on organizational needs and integration levels, with substantial savings in risk management and efficiency.
It is one of the best tools in the market.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
I have seen a return on investment from using BigID, particularly as it is a regulatory and compliance tool that helps avoid potential penalties for non-compliance.
It eliminates the need for additional hardware, making it a financially and technically sound investment.
Reputation and data security are the two most important things to a financial institution.
We may have prevented a security breach with remediation of the findings.
BigID has one of the best technical support teams.
I would rate the customer support a six because you cannot directly reach out to L3 or L2 support if there's a major issue.
developing the custom connectors was relatively easy because of the courses I attended at BigID University and the support given by the BigID engineering team.
They can respond with technical documentation or pass on the case to the next level because it requires the development of a new feature or changing a feature due to a bug.
Anywhere we raise a tech case, they revert back within an hour.
Support is not just good; it's excellent.
I have added very large data sources to the BigID environment, and it remains stable.
BigID is scalable, allowing you to purchase as many scanners as you want.
Scalability is a strong aspect; we have never experienced issues with it.
Scalability-wise, I rate the solution a nine out of ten.
We haven't had any issues scaling the solution.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
I would rate it a ten out of ten for stability.
It provides excellent stability capabilities.
Most of the time, when the client requires data, it is not available.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
BigID deserves recognition for the data discovery part, which has been wonderful and quite accurate, along with the confidence level process that allows us to fine-tune results for better accuracy from the database.
Prisma Cloud is an excellent tool.
We could have deployed the runtime monitoring with Prisma Cloud by Palo Alto Networks, but within our organization at our company, it was very difficult to find who would be the owner for the alerts.
Even though documentation was available, it took a while for a new person to understand what integration meant, what will be achieved after the integration, or how the integration needed to be done on the Azure or AWS side.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
The cost was not on the higher side.
If you are using a single tool like Prisma Cloud, with a single license, you can monitor all environments, such as Google Cloud, Azure, AWS, and Oracle Cloud.
Prisma Cloud isn't cheap.
One of the best features of BigID is its strength in data discovery and governance.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Prisma Cloud excels by offering a comprehensive solution within a single dashboard. This unified approach addresses all our requirements, making it the most advantageous aspect of this tool.
There is a wide range of integrations, and the compatibility with various cloud providers is very useful.
It provides a single pane of glass.
| Product | Market Share (%) |
|---|---|
| Prisma Cloud by Palo Alto Networks | 11.7% |
| BigID | 5.6% |
| Other | 82.7% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 22 |
| Large Enterprise | 56 |
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.
Prisma Cloud by Palo Alto Networks provides comprehensive cloud-native security solutions. It covers dynamic workload identity, automated forensics, and multi-cloud protection, ensuring robust security across diverse cloud platforms.
Prisma Cloud delivers advanced capabilities for managing cloud security across AWS, Azure, and GCP platforms. It offers dynamic workload identity creation, real-time monitoring, and seamless integration into CI/CD pipelines. With automation, centralized dashboards, and enhanced visibility, users effectively manage security misconfigurations and vulnerabilities. While optimizing cloud environments through runtime protection and compliance, Prisma Cloud faces challenges with its navigation, pricing, and limited automation capabilities. Users seek improvements in API security, role-based access controls, and documentation quality, emphasizing the need for enhanced customization and reporting features.
What are the important features of Prisma Cloud?
What benefits or ROI should users consider in reviews?
Industries like finance and telecom rely on Prisma Cloud for managing cloud security posture and container security. Teams utilize its capabilities across hybrid and multi-cloud settings to ensure compliance and robust threat protection. Features like misconfiguration detection and runtime monitoring are critical in promoting security objectives in these sectors.
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