BigID Customer Reviews 2025 | SoftwareReviews

BigID

Composite Score

7.4 /10

CX Score

7.6 /10

15 Reviews Write a Review

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What is BigID?

BigID is an innovator in data intelligence, with an ML-powered enterprise platform that reimagines data management for data discovery, privacy, security, and governance. BigID helps customers proactively manage and protect their data, reduce risk, and get more value from their data. With BigID, customers can make better decisions with their data, achieve compliance, scale with evolving data privacy and protection landscape, and ultimately reimagine how they manage their data.

Company Details

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BigID Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on BigID.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

86 Likeliness to Recommend

2
Since last award

94 Plan to Renew

1
Since last award

71 Satisfaction of Cost Relative to Value

3
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 94%
Negotiation and Contract:: 81%
Conflict Resolution:: 82%
Strategy & Innovation:: 92%
Service Experience:: 95%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+89 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love BigID?

0% Negative

19% Neutral

81% Positive

Pros

Enables Productivity
Unique Features
Saves Time
Respectful

Feature Ratings

Average 81

Data Lineage

Hierarchy Management

Automated Sensitivity Classification for Data Sources

Automation of Metadata Creation

APIs and Integration

Business Glossary

Collaboration

Data life cycle management and data deletion

Data Monitoring and Administration

ML-augmented data discovery and classification

Metadata Design

Vendor Capability Ratings

Average 76

Availability and Quality of Training

Ease of Implementation

Usability and Intuitiveness

Business Value Created

Product Strategy and Rate of Improvement

Ease of Data Integration

Breadth of Features

Quality of Features

Ease of IT Administration

Ease of Customization

Vendor Support

Also Featured in...

Privacy Program Management

Score 6.2

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BigID Reviews

Role: Consultant
Industry: Retail
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Apr 2023

Great Product with lot of features

Likeliness to Recommend

9 /10

Pros

Trustworthy
Saves Time
Fair
Security Protects

Ankit D.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2023

I learned this previously and i like it much.

Likeliness to Recommend

9 /10

What differentiates BigID from other similar products?

I have only used BIGID and i would suggest BIGID to other users.

What is your favorite aspect of this product?

I like to UI, which is easy to understand and work upon.

What do you dislike most about this product?

i dislike the price of the product and service is bit slow.

What recommendations would you give to someone considering this product?

I would recommend to reduce the Data Risks

Pros

Client's Interest First
Appreciates Incumbent Status
Helps Innovate
Continually Improving Product

BigID

What is BigID?

Company Details

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BigID Ratings

86 Likeliness to Recommend

2 Since last award

94 Plan to Renew

1 Since last award

71 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+89 Net Emotional Footprint

How much do users love BigID?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Lineage Metadata describing data source and consumption points, movements from the source to consumption, and any transformations happening during this journey.

Hierarchy Management Ability to manage taxonomies and organizational classifications.

Automated Sensitivity Classification for Data Sources Automation of compliance and data security by automatically classifying sensitive data when scanned.

Automation of Metadata Creation Asset metadata can be created using rules.

APIs and Integration Has inbuilt APIs allowing access to the database layer without having to go through JDBC/ODBC.

Business Glossary Business Glossary defines main business terms and their intended use for all business operations.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Data life cycle management and data deletion determine various attributes about data including data that needs to be retained for various purposes such as legal hold or compliance.

Data Monitoring and Administration Includes data progress, data systematic review, and error monitoring.

ML-augmented data discovery and classification enables finding and classifying sensitive data and doing so correctly. In addition, ML-augmentation can infer metadata, such as a data owner through it’s scans.

Metadata Design Ability to define an organization-wide metadata schema, design its structure and constituent members (metadata tag values).

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Also Featured in...

Privacy Program Management

BigID Reviews

Great Product with lot of features

Likeliness to Recommend

Pros

Ankit D.

I learned this previously and i like it much.

Likeliness to Recommend

Pros

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Feature Ratings

Data Lineage

Hierarchy Management

Automated Sensitivity Classification for Data Sources

Automation of Metadata Creation

APIs and Integration

Business Glossary

Collaboration

Data life cycle management and data deletion

Data Monitoring and Administration

ML-augmented data discovery and classification

Metadata Design

Vendor Capability Ratings

Availability and Quality of Training

Ease of Implementation

Usability and Intuitiveness

Business Value Created

Product Strategy and Rate of Improvement

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Breadth of Features

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Ease of IT Administration

Ease of Customization

Vendor Support