

BigID Next and GitGuardian Platform both compete in the realm of data security and management. BigID Next leads in comprehensive data discovery and protection, while GitGuardian excels in swift secret detection within codebases, offering different strengths across their respective domains.
Features: BigID Next offers advanced data discovery and classification, integrating with existing platforms to manage structured, unstructured, and semi-structured data effectively. Its capabilities support compliance and governance purposes. GitGuardian Platform prioritizes finding tokens and passwords across codebases, providing developer-friendly integrations, immediate alerts, and automated remediation workflows.
Room for Improvement: BigID Next users face challenges with file viewing, customization, and automation features, and seek better data connection and security enhancements. GitGuardian Platform needs refinement in reducing false positives, improving user management features, and offering more comprehensive integration with various development environments.
Ease of Deployment and Customer Service: BigID Next provides flexibility through private, hybrid, and on-premises deployment options, supported by a responsive, multi-tiered customer service. GitGuardian operates in public and private cloud settings with on-premises capabilities, receiving accolades for customer service but needing improved automated notifications and integration setups.
Pricing and ROI: BigID Next, while seen as expensive, justifies its cost through extensive features valuable for complex data needs and compliance, intended for larger organizations. GitGuardian Platform is considered reasonably priced with a scalable pricing model based on user numbers, making it a cost-effective choice for companies prioritizing security through efficient secret detection.
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.
I can certainly say that we have saved significant time and resources in terms of people and automation.
The majority of our incidents for critical detectors and important secret types are remediated automatically or proactively by developers through GitGuardian's notification system, without security team involvement.
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.
It effectively helps us with credentials security and has been performing satisfactorily.
I would rate their technical support a nine out of ten.
I would rate the technical support as 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.
In terms of scalability, I would rate it around a ten out of ten, as it handles all the repositories and commit activity we have.
I would rate it a ten out of ten for scalability.
Currently, what GitGuardian Platform is doing works effectively.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
We set up a lot of the repository, so GitGuardian is a required check.
The SaaS platform has experienced two significant moments of downtime or instability in the last six months, requiring notices and retrospectives.
I would rate the stability of the GitGuardian Platform as excellent with no downtimes.
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.
Another thing that would be good to see is some more metrics on the usage of the GitGuardian pre-push hooks.
The self-healing activity by developers isn't reflected in the analytics, requiring us to collect this data ourselves.
We are looking for better metrics and audit data, wanting more features such as knowing which users are creating the most secrets or committing the most secrets, what repository, what directory, and who is not checking in secrets.
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.
Overall, the secret detection sector is expensive, but we are happy with the value we get.
It's fairly priced, as it performs a lot of analysis and is a valuable tool.
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.
One of the best features of the solution is the ability to use pre-push hooks.
A high number of our exposures are remediated by developers before security needs to step in, as the self-healing playbook process engages them automatically.
GitGuardian Platform performs the capability to detect secrets in real time exceptionally, as it activates from the commit and can detect it immediately.
| Product | Market Share (%) |
|---|---|
| BigID | 3.4% |
| GitGuardian Platform | 1.1% |
| Other | 95.5% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 9 |
| Large Enterprise | 13 |
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?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.
GitGuardian is a comprehensive platform focused on enhancing Non-Human Identity security by integrating Secrets Security and Secrets Observability to detect and manage secrets across development environments.
As cybersecurity threats increasingly target NHIs like service accounts and applications, GitGuardian offers a robust solution by supporting over 450 types of secrets and deploying honeytokens for additional defense. Trusted by leading organizations and developers, its monitoring and quick alert system enable effective detection and management of sensitive data, strengthening operational security across platforms.
What are the key features of GitGuardian?In the tech industry, GitGuardian is employed to safeguard APIs and sensitive credentials across code repositories like GitHub. Companies benefit from instant alerts and integrations with tools like Slack, effectively managing risks and enhancing security policies. While popular in sectors dependent on development agility, there is room for further improvement in customization and integration to meet specific industry needs.
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