BigID Next vs MANTA Flow comparison

Why PeerSpot?

BigID and Manta are both solutions in the Data Governance category. BigID is ranked #8 with an average rating of 8.4, while Manta is ranked #37. BigID holds a 4.1% mindshare in DG, compared to Manta’s 0.9% mindshare. Additionally, 100% of BigID users are willing to recommend the solution, compared to 100% of Manta users who would recommend it.

BigID Next

Read 15 BigID Next reviews

10,516 Views
6,204 Comparison Views

100% willing to recommend

MANTA Flow

Read 2 MANTA Flow reviews

1,040 Views
1,040 Comparison Views

100% willing to recommend

BigID Next

MANTA Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and MANTA Flow are competing products in the data management space. BigID Next seems to have the upper hand with its strong support and competitive pricing structure.

Features: BigID Next offers automated data discovery, classification tools, and enhanced data governance. MANTA Flow provides detailed data lineage insights, metadata management, and deeper understanding of data flow.

Ease of Deployment and Customer Service: MANTA Flow integrates easily with existing systems, supported by strong services for seamless adoption. BigID Next requires more initial configuration despite a comprehensive deployment model.

Pricing and ROI: BigID Next is competitively priced with scalable ROI, suitable for businesses focused on privacy. MANTA Flow has potentially higher initial costs but offers significant ROI through its feature set, valuable for data lineage tracking.

To learn more, read our detailed BigID Next vs. MANTA Flow Report (Updated: September 2026).

Buyer's Guide

BigID Next vs. MANTA Flow

September 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

BigID Next

Ranking in Data Governance

8th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (12th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), AI Data Analysis (8th), Data Security Platforms (DSP) (1st)

MANTA Flow

Ranking in Data Governance

37th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Data Governance category, the mindshare of BigID Next is 4.1%, down from 6.7% compared to the previous year. The mindshare of MANTA Flow is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
BigID Next	4.1%
MANTA Flow	0.9%
Other	95.0%

Data Governance

Featured Reviews

Aniruddha Nath

Senior Security Consultant at a consultancy with 10,001+ employees

Data discovery has transformed compliance workflows and automation now speeds up requests and remediation

The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.

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LeandroSodré

Data Governance Analyst at Data Meaning, Inc.

Very Powerful, with cloud based scalability, and highly efficient for both business and technical teams

I had some difficulties, trying to use the direct link which is metadata through files that you can upload to MANTA Flow and you can just say from there where that data is going. But we just figured out that sometimes, depending on the level of the granularity that if you want to link the object, you can not. For example, if you want to link the objects just by schema, sometimes it does not work. So you need to scroll down and link each table. Sometimes the table level does not work, and you need to go deeper and go to link column to column. We figured out that this was a bug in MANTA Flow, and we talked to them and I think they were fixing it. But in our case, we just realized that if we could link the objects at the lowest level possible, it would work. I was trying to develop, right now, some kind of automation to compare the listed revision that I have in MANTA Flow with some other revision. And I would like to do it in an automatic way. I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface. I think it would be very powerful because if you want to automate just warn the data owners the structures were updated by looking at the object level, and send an email to these owners to see if that change makes sense.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The tool's most valuable feature is correlation. Using BigID's data classification capabilities has strengthened our data security. It lets me classify and connect data, which helps me manage data at various classification levels."

"The best feature that BigID offers is data discovery and classification, which is the most powerful engine, allowing connection to many different data sources ranging from cloud to on-premises and from structured to unstructured data, with the ability to build your own classifiers if no connector is available."

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."

"BigID offers different scan types for data discovery. The most powerful one is the full scan, which scans both data and metadata. However, the metadata scan is faster in comparison."

"I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are impressive. It offers custom classifiers and a blend of regular exploration and artificial intelligence, making it a next-generation solution. This enhances data security, and its security posture management is straightforward and user-friendly."

"One of the most valuable things in a data-focused world is a tool, a technology that's data-centric, not trying to master data management or whatever else. It's a source of truth for what data an organization holds, giving it the ability to catalog, categorize, and understand its data."

"My experience with BigID has been very positive and memorable, as BigID is simple, straightforward, and reliable when it comes to data discovery and data scanning exercises."

"The data classification offered by the tool can help companies improve their security strategy"

More BigID Next pros

"Technical support works well, they resolve issues."

"The solution is stable. We have not found any fatal errors yet."

"I believe it is very powerful. And for technicians, you can see the impact analysis, you can compare versions. So you can see some revisions against some of the oldest ones. You can compare and see which pipelines were updated between them. I think it is very helpful to both sides, the technical and business teams."

Cons

"The tool currently lacks security features."

"BigID needs improvement in terms of automation."

"The challenge we encountered was with data connection across multiple databases. We struggled with configuring the data connection successfully. However, with the assistance of dynamic teams, we resolved this issue."

"Improvement could be made in data consent management and data privacy impact assessment."

"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."

"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."

"More classifications about different states are needed"

"Some users find catalog navigation challenging due to the lack of a search-by-column feature, which makes it difficult to locate specific data quickly."

More BigID Next cons

"One area of improvement for MANTA Flow is to add as many new data sources as possible. We have found that maybe they can support 100, but not 101, unfortunately."

"I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface."

Pricing and Cost Advice

"The pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you."

"The solution is expensive."

"The product is expensive, but so are all competitor tools"

"I think that BigID's pricing is very reasonable."

"The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."

"As a service company, we don't care about the price because the customer is paying, but the customers consider MANTA to be reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

11%

Insurance Company

Comms Service Provider

Financial Services Firm

29%

Comms Service Provider

14%

Construction Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

No data available

Questions from the Community

What needs improvement with BigID?

One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur. I think the BigID team is aware of this and works on resolving iss...

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What is your primary use case for BigID?

BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data within those systems, and identify sensitive information across various structur...

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What advice do you have for others considering BigID?

I have covered information regarding data scanning, data classification, and the DSAR module, as these are the parts I have worked on, apart from developing custom connectors for a few data sources...

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Product Reports

Buyer's Guide

BigID Next

September 2026

Download BigID Next product report

Buyer's Guide

Data Governance

September 2026

Download MANTA Flow product report

Overview

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?

User-Friendly Interface: Easily navigable for streamlined data operations.
Microsoft Integration: Seamless compatibility with Microsoft platforms.
Data Scanning Capabilities: Efficiently scans structured and unstructured data.
Data Classification and Discovery: Identifies and categorizes sensitive data.
Security Labels: Supports predefined and custom security labels.
Automation for PII Requests: Automates privacy request management.
Compliance Adherence: Aligns with GDPR and CCPA requirements.
Scheduling Scans: Facilitates planned data assessments.
Machine Learning: Enhances data mapping, auditing, and management.

What benefits should users look for?

Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
Data Mapping Efficiency: Improves data locating and classification.
Automation Features: Saves time with automated data request handling.
Comprehensive Integration: Works well with existing security tools.
Holistic Data View: Offers clear insights into data storage and use.

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.

BigID

MANTA Flow is a data lineage platform designed to deliver insights into the data pipeline, enhancing transparency and improving decision-making for data-heavy organizations.

It efficiently maps out and visualizes data flow across complex environments, allowing companies to trace data origin, transformation, and destination. With its robust analytical capabilities, MANTA Flow significantly streamlines data governance and compliance efforts, offering a detailed overview of all dependencies and potential risk factors within the data landscape.

What are the most essential features of MANTA Flow?

Automated Lineage Capture: Automatically traces data sources and transformations, reducing the need for manual documentation.
Comprehensive Visualization: Provides a clear and interactive map of data flow, making it easier to understand complex dependencies.
Impact Analysis: Assesses the effects of changes in data processes, minimizing potential risks.
Regulatory Compliance Facilitation: Aids in adhering to data governance policies by offering thorough lineage records.
Multi-Environment Support: Manages data lineage across diverse platforms, centralizing insights.

What benefits and ROI should users expect?

Improved Data Reliability: Enhances data integrity by ensuring transparency in data processing.
Time Reduction in Tracing Errors: Speeds up troubleshooting by identifying errors' root causes swiftly.
Cost Efficiency: Lowers overhead by automating lineage tasks and reducing manual labor.
Enhanced Decision-Making: Informs strategic decisions by delivering comprehensive data insights.
Scalability: Supports growth by effortlessly adapting to expanding data environments.

MANTA Flow is implemented across sectors including finance and healthcare, where tracking data lineage is crucial for meeting compliance standards. It provides tailored solutions adapting to unique industry requirements, ensuring data processing transparency and accuracy in high-stakes environments.

Manta

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available

Buyer's Guide

BigID Next vs. MANTA Flow

September 2026

Free Report: BigID Next vs. MANTA Flow

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