

Mimecast Insider Risk Management and Data Protection and BigID Next compete in data governance and protection. Mimecast is more affordable and offers excellent support, while BigID Next provides a feature-rich solution worth the investment for certain buyers.
Features: Mimecast offers continuous monitoring, real-time threat detection, and comprehensive risk management. BigID Next focuses on advanced identity and data classification, deep insights into data usage, and a wider feature set catering to complex data environments.
Room for Improvement: Mimecast could improve its data classification precision, expand its identity management capabilities, and enhance features for larger data environments. BigID Next could streamline its setup process, enhance real-time threat detection, and offer cost-effective solutions for smaller businesses.
Ease of Deployment and Customer Service: Mimecast is praised for its simple deployment process and responsive support, making it ideal for smaller teams. BigID Next, while more complex to set up, provides extensive documentation and strong support, ensuring a smoother adaptation process.
Pricing and ROI: Mimecast's competitive pricing structure is attractive for immediate returns. BigID Next, with higher upfront costs, offers significant long-term ROI through extensive data insights and management features, suiting businesses requiring detailed data analysis.
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.
Mimecast Insider Risk Management and Data Protection eases the workload through automation, through policies and rules that are pre-configured to handle complex tasks that would take hours and days for a team to initiate.
With Mimecast Insider Risk Management and Data Protection, our investigation time for high-risk incidents has been cut in half, and overall management now takes us less than four hours a week.
There have been scenarios where we have stopped users from sharing data, and that data has been successfully protected from leaving the premises, adding tremendous value for us.
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.
I would rate the customer support a perfect 10.
I have never had any problems with the customer support, and they are very responsive.
They resolve issues according to their established SLA.
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.
The tool effectively detected both malware and spam, ensuring that only a few emails categorized as malware reached user mailboxes.
I would rate the scalability of Mimecast Insider Risk Management and Data Protection around 9.5, as it is highly scalable and widely used by many organizations, including large enterprises.
As the organization grows, Mimecast scales its cloud resources to handle increased demand.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Mimecast Insider Risk Management and Data Protection is stable in my experience.
Mimecast Insider Risk Management and Data Protection is definitely stable without fail based on my experience.
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.
If Mimecast could provide more information about how they store the data and whether the agents are local agents or cloud-hosted agents, that would be of great help for the organizations to consider its AI capabilities while adhering to the compliance needs of a particular organization.
Mimecast Insider Risk Management and Data Protection should incorporate features to detect if a URL is malicious or generated by AI, especially since many attackers use scripts to bypass mail gateways.
The policies are solid, they work effectively, the implementation time is not very long, integrations with SIEM are quite easy, and the Glassbreak account is something I have tested.
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 setup cost is a one-time investment that will stay with us forever.
After migrating, the cost is almost a 50% discount.
My experience with pricing, setup cost, and licensing indicates that pricing is always very expensive.
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.
Mimecast Insider Risk Management and Data Protection has positively impacted our organization as it has helped us identify a lot of phishing emails and stopped many unauthorized disclosures or accidental disclosures of information.
The second thing is that the alert getting triggered is very fast. There is no latency issue that we have observed.
If you want to secure your communication through email, you have to deploy Mimecast Insider Risk Management and Data Protection in your network infrastructure.
| Product | Mindshare (%) |
|---|---|
| Mimecast Insider Risk Management and Data Protection | 2.7% |
| BigID Next | 2.4% |
| Other | 94.9% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 29 |
| Large Enterprise | 44 |
BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.
BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.
What features does BigID Next offer?
What benefits should users look for?
BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.
Mimecast Incydr protects organizations against insider risk and data exfiltration, whether accidental, negligent, or malicious. It monitors endpoint, cloud, browser, and email activity to see when files move to places you don't trust, without requiring policies, proxies, or content classification to work. Administrators get a single dashboard for data flow visibility, adaptive controls ranging from education to blocking, and integrations with HR, endpoint detection, and identity systems to automate response as risk changes.
What key features should users explore?
What benefits can impact ROI?
Industries and use cases
Mimecast Incydr is used across industries to address insider risk, departing employee data theft, and shadow AI exposure. Enterprises use it to monitor data movement across endpoint, cloud, and browser channels, automate watchlisting during employee offboarding, and gain visibility into how employees and AI tools interact with sensitive data, supporting both security operations and compliance requirements in regulated industries.
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