BigID: Overview and 5 Alternatives In 2023

BigID -

BigID is a cloud-based platform that offers data privacy management software. The platform’s solution monitors the dispersed customer by data adhering to compliance and privacy regulations. It also reduces the liability of the enterprise from potential customer identity theft and misuse.

BigID leverages machine learning and provides a solution such as discovering PI across structured, unstructured, and big data. It finds hidden information and relationships, automates access right fulfillment and data flow mapping, tracks data access and identifies and prioritizes protection for PI with open access. It also automates policy checks, and enforcement orchestration, and measures data and privacy risks.

Since March 2016, BigID has managed to raise $96.1 million across four funding rounds, including a seed round that raised $2.1 million and a Series C that took place on September 2019, amassing $50 million. Its most recent round was a Series D round in February 2022 that raised an undisclosed sum. Six investors participated in the latest round, led by ServiceNow, Comcast, Splunk, SAP, Salesforce Ventures, and Hewlett Packard Pathfinder.

Past investors include Bessemer Venture Partners, Scale Venture Partners, and ClearSky Security.

Overview of BigID

BigID was founded in 2016 and is based in New York. The platform offers risk management, customer data privacy, and data intelligence solutions. It allows organizations to find, classify, and catalog sensitive data from the cloud to data centers. It provides solutions such as data lifecycle management, data minimization, data discovery and classification, privacy automation, and more.

The platform also provides its services to the healthcare, federal, retail, airline, and automotive industries.

BigID’s cloud-native solution uses advanced machine learning and data intelligence to organize and secure customer data while ensuring its clients are compliant with protection regulations like the CCPA and GDPR. By applying advanced machine learning and deep data insight, BigID transforms data discovery and data intelligence to address data privacy, data security, and data governance challenges across all types of data, at petabyte-scale, on-prem, and in the cloud.

Partners include fellow Cloud 100 listers Databricks, HashiCorp, and GitLab. BigID Cloud, its recently launched implementation for organizing, securing, and governing cloud data, is available for clients that require hybrid enterprise deployments.

BigID Data Intelligence and Discovery Platform

BigID’s actionable data intelligence platform enables organizations to know their enterprise data and take action. Big ID can automatically discover, catalog, and classify all data types and sources. It also will identify sensitive, personal, regulated, critical, and duplicate data and manage privacy requirements and regulatory compliance eg GDPR, CCPA/CPRA.

BigID transforms data security, reduces risk posture (attack surface) and reimagines data governance and E2E Data Lifecycle.

BigID Discovery In Depth Foundation

Provides Next-Gen Data Discovery and Intelligence for the data you know and for the data you don’t. It also provides 360 visibility across all Data Sources and Data Types, Deep Data Intelligence (ML), and Visualize Data Context.

With this, companies get unprecedented visibility and insight into personal, sensitive, and enterprise data – with broad data coverage at a petabyte scale across almost any data source, cloud, or pipeline.

BigID Data Governance Suite

Lets you reimagine Data Governance. With this BigID provides efficient, consistent, and scalable data governance with Ml-prompted validation to replace traditional manual data curation. Applications include:

  • Data Catalog
  • Data Quality
  • Data Stewardship
  • Data Glossary
  • Data Retention, and
  • Metadata Exchange

BigID Data Privacy Suite

Enables data-driven privacy compliance and automation for new and emerging data privacy and protection regulations. Applications include:

  • Sensitive Data Discovery
  • Privacy Portal
  • ROPA (Data Sharing)
  • E2E DSAR
  • Regulatory Reporting
  • Consent & Preferences
  • Cookie Management, and
  • PIA Automation.

BigID Data Security Suite

Lets you transform Data Security with ML-based classification, file analysis, and applications to reduce risk and take action. Applications include:

  • Data Classification
  • Data Risk Scoring
  • File Access Intelligence
  • Data Retention & Remediation
  • Data Labelling, and
  • Breach Data Analysis.

BigID’s Competitive Landscape

BigID has 807 active competitors, out of which it ranks 8th. 114 of its competitors are funded while 49 have exited.

Overall, BigID and its competitors have raised over $3.63B in funding across 296 funding rounds involving 748 investors. There are two private Unicorns in the entire competition set.

Some of BigID’s top competitors include:


Vanta is a Series B company founded in 2016. Based in San Francisco, Vanta helps companies obtain the reports they need to accelerate growth and build efficient compliance processes. By offering the most in-demand security and privacy frameworks such as SOC 2, ISO 27001, HIPAA, and many more, Vanta helps these companies mitigate risks to their business, and build trust with external stakeholders.

Thousands of fast-growing companies trust Vanta to help build, scale, manage and demonstrate their security and compliance programs and get ready for audits in weeks, not months. All they need to do is simply connect their existing tools to Vanta, follow the prescribed guidance to fix gaps, and then work with a Vanta-vetted auditor to complete the audit.


The OneTrust Privacy and Data Governance Cloud offers one platform for security, marketing, and privacy teams. With it, they can discover, control, and activate the responsible use of data throughout their organization.

Some of OneTrust’s features include:

  • Data Subject Access Requests: Data Subject Access Request (DSAR) functionality helps companies comply with user access and deletion requests.
  • Identity Verification: Identity verification functionality validates a person’s identity prior to a company complying with a data subject access request.
  • Privacy Impact Assessments: Privacy Impact Assessment (PIA) features help companies evaluate, assess, track, and report on the privacy implications of their data.
  • Data Mapping: Data mapping functionality, either via manual surveys or automated machine learning, helps companies understand how data flows throughout their organization.
  • Data Discovery: Data discovery features collect and aggregate data from a variety of sources and prepare it in formats that both people and software can easily use to run analytics.
  • Data access governance: Data Access Governance functionality helps limit the number of people who have access to data unless they have permission to do so.
  • De-identification/pseudonymization: De-identification or pseudonymization features replace personally identifiable information with artificial identifiers, or pseudonyms to comply with privacy regulations.
  • Website tracking scanning: Website tracking scanning features help companies understand what cookies, beacons, and other trackers are on their websites.
  • Consent management: Consent management features help companies obtain and manage user consent when collecting, sharing, buying, or selling a user’s data.
  • Workflow: Offers workflows to process Data Subject Access Requests to enable multiple departments to assist when complying with user access and deletion requests.


Varonis is a cloud-based security platform that builds a single prioritized view of risk for your data, so you can proactively and systematically eliminate risk from insider threats and cyberattacks. Its data classification engine only scans files that it knows have been changed or created since the previous scan.

Varonis achieves pinpoint accuracy by going beyond regular expressions, using proximity matching, negative keywords, OCR, and algorithmic verification. Unlike most classification technology, Varonis uses non-content factors (such as permissions) to further enhance accuracy.

Some of Varonis’ products include:

Data protection

DatAdvantage: Lets you regain complete visibility and control over your valuable data with in-depth permissions mapping, risk remediation, activity auditing, and compliance reporting.

Automation Engine: Massively reduce your attack surface by safely and continually revoking open access to sensitive data without human interaction.

Data Privilege: Enforce Zero Trust by giving business users the power to review and manage access controls without IT assistance.

Data Transport: Create automated rules to move, archive, quarantine, or delete data based on content type, sensitivity, age, access activity, and countless other conditions.

Threat Detection & Response

DatAlert: Detect and respond to threats to your data with ML-powered behavioral analysis that can identify suspicious activity without signatures or endpoint agents.

Edge: Combine perimeter telemetry with data access activity to stop intrusions and data exfiltration at the edge of your network.

Varonis for Active Directory: Harden your AD and Azure AD infrastructure by uncovering hidden attack paths, monitoring critical settings, and alerting on behavioral anomalies.

Privacy & Compliance

Data Classification Engine: Accurately discover sensitive data, see where it’s exposed, and lock it down without interrupting business.

Data Classification Labels: Programmatically apply persistent sensitivity labels to encrypt, obfuscate, or lock down your most important files.

Policy Pack: Deploy an ever-expanding library of accurate and comprehensive rules to find and protect GDPR and CCPA data.

Federal Policy Pack: A library of classification policies to find and protect top secret, secret, and confidential government documents.

DatAnswers: Satisfy data subject access requests (DSARs) by surfacing personal information across cloud and on-prem files with fast and powerful PII search.

Cloud Security

DatAdvantage Cloud: Reduce your SaaS and IaaS blast radius and detect threats with cross-cloud permissions and activity analysis for Salesforce, GitHub, AWS, Google, and more.

Data Classification Cloud: Accurately discover sensitive data in the cloud and pair classification results with permissions to quickly see which sensitive files, folders, or objects are exposed.

Varonis for Microsoft 365: Secure your M365 data in ways that are extremely difficult, or flat-out impossible, with Microsoft’s out-of-the-box security suite.


Egnyte is a secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 17,000 organizations. It helps customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere.

Egnyte’s simple, turnkey solution is easy for IT leaders to manage and control a full spectrum of content risks. From accidental data deletion to data exfiltration, regulatory compliance, proper lifecycle management, privacy, and much more, they can give business users the tools they need to work faster and smarter, from any cloud, any device, anywhere.


Smartsheet is a modern work management platform that brings together people, processes, and technology to empower anyone to drive meaningful change. Organizations of all sizes use Smartsheet to manage projects, automate processes, and gain visibility into programs and portfolios at scale — all on one real-time, centralized platform, accessible from anywhere, on any device.

Over 90% of Fortune 100 companies trust Smartsheet to align their resources to improve efficiency, agility, and collaboration in today’s ever-changing world of work.

In Conclusion

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape.


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