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About BigID

BigID is a data intelligence software from BigID that focuses on data discovery and privacy management. It combines advanced data mapping, risk assessment, and automated compliance reporting so organizations can better manage sensitive data and adhere to regulatory requirements. BigID helps businesses identify where personal data resides, classify it, and monitor it for potential risks. The platform also supports GDPR, CCPA, and other data protection laws, ensuring organizations remain compliant. With its scalable architecture, BigID can handle large volumes of data across various environments. Key capabilities: data discovery risk assessment compliance reporting data classification regulatory monitoring Best for: organizations that need to manage sensitive data and ensure compliance with data protection regulations.

BigID Details

Vendor
BigID
Year Launched
2016
Location
New York, New York 10011, US
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Portuguese, German, French, Spanish
Users
Cloud Administrator, Security Analyst, Data Privacy Officer, Compliance Manager, IT Auditor, Chief Information Security Officer (CISO), Data Protection Lead
Industries Served
Financial Services, Healthcare & Life Sciences, Retail & E-Commerce, Technology & SaaS, Government & Public Sector
Tags
Cloud Management, Cybersecurity, Data Discovery, Data Governance, GDPR Compliance, HIPAA Compliance, PCI Compliance, Policy Management

BigID's In-App Market Place

Does BigID have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Aud (A$), Cad (C$), Jpy (¥), Cny (¥), Inr (₹)

Pros & Cons

  • • Comprehensive Data Discovery and Classification: BigID excels at finding and categorizing sensitive data across diverse environments, a crucial foundation for data security and privacy.
  • • AI-Powered Automation: Leverages machine learning to automate key processes like data discovery, classification, and privacy compliance tasks, saving time and resources.
  • • Unified Platform: Offers a single platform for data security, privacy, and governance, simplifying management and reducing the need for multiple tools.
  • • Scalability: Designed to handle massive data volumes (petabyte scale), making it suitable for large enterprises.
  • • Cloud-Native and Flexible Deployment: Can be deployed in the cloud, on-premises, or in hybrid environments, offering flexibility and adaptability.
  • • Strong Security Features: Includes enterprise-grade security features like role-based access control (RBAC), two-factor authentication (2FA), and secure cloud deployment.
  • • Open Ecosystem and Integrations: Integrates with existing tech stacks and other tools through APIs and partnerships, enhancing interoperability.
  • • Modular Approach: Allows users to select and deploy only the modules they need, optimizing costs and resource utilization.
  • • Focus on Key Use Cases: Addresses critical use cases like data security posture management (DSPM), data privacy management (DPM), compliance, and cloud migration.
  • • Addresses Emerging Needs: Provides solutions for AI security and data governance in the age of generative AI.
  • • Positive Industry Recognition: Garnered positive reviews and recognition from industry analysts and users.
  • • Complexity: A comprehensive platform like BigID can be complex to implement and manage, requiring specialized expertise.
  • • Integration Challenges: While BigID aims for seamless integration, there might still be challenges integrating with certain legacy systems or niche tools.
  • • Learning Curve: Users may require training and time to become proficient with the platform's features and functionalities.
  • • Over-Reliance on Automation: While automation is a strength, it's essential to ensure human oversight and validation, especially for critical data-related decisions.
  • • Vendor Lock-in: Adopting a platform like BigID could lead to vendor lock-in, making it difficult to switch to alternative solutions in the future.
  • • Performance at Scale: While designed for scale, real-world performance with extremely large datasets and complex environments needs to be validated. This is a general con for many enterprise systems.
  • • Limited Public Pricing Information: The website doesn't provide detailed pricing, requiring potential customers to contact sales, which can be a barrier for initial evaluation.
  • • Dependence on Machine Learning Accuracy: The effectiveness of some features relies on the accuracy of the machine learning models. While they claim advanced ML, real-world performance and fine-tuning are always factors.

BigID's Support Options

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