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BigID Next vs Cloudera Data Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 22, 2026

Review summaries and opinions

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

ROI

Sentiment score
7.3
BigID Next offers strong ROI through compliance, data management integration, cost savings, automation, and reduced staffing, avoiding fines.
Sentiment score
4.8
Organizations see varied ROI from Cloudera Data Platform, with benefits in efficiency and costs, but experiences and expectations differ.
It is one of the best tools in the market.
Senior Manager at KPMG
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
Senior Security Consultant at a consultancy with 10,001+ employees
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.
Senior Security Consultant at a consultancy with 10,001+ employees
There are licensing costs that have been saved when we moved some of the data platforms, decommissioned them, and moved on to this platform.
Data engineer at a tech vendor with 10,001+ employees
In terms of return on investment, I see great changes in operational effectiveness measured by RTO when comparing on-premises solutions with cloud solutions.
Cloud Data Administrator at a financial services firm with 10,001+ employees
A specific example of the positive impact of Cloudera Data Platform is the clearly saved time and improved performance, which is the main result of it.
Data Platform Specialist at Lutech
 

Customer Service

Sentiment score
6.5
BigID Next's support is praised for responsiveness, efficiency, and high customer satisfaction, despite occasional delays and time-consuming initial contact.
Sentiment score
6.0
Cloudera Data Platform's customer service is praised for responsiveness but experiences vary; community resources aid those without paid service.
BigID has one of the best technical support teams.
Senior Manager at KPMG
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.
Senior Security Consultant at a consultancy with 10,001+ employees
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.
Senior Security Consultant at a consultancy with 10,001+ employees
I would rate the customer support of Cloudera Data Platform ten out of ten.
Principal Consultant Data Analytics at a outsourcing company with 5,001-10,000 employees
I have communicated with technical support, and they are responsive and helpful.
Data Architect at ubl
Cloudera support is timely and responsive, adhering to the SLAs they provide.
Cloud Data Administrator at a financial services firm with 10,001+ employees
 

Scalability Issues

Sentiment score
6.7
BigID Next is scalable with mixed opinions, excelling in large environments but facing data handling and presentation challenges.
Sentiment score
6.4
Cloudera Data Platform is praised for its scalability and seamless cloud integration, though some face challenges during upgrades or on-premises.
I have added very large data sources to the BigID environment, and it remains stable.
Senior Security Consultant at a consultancy with 10,001+ employees
BigID is scalable, allowing you to purchase as many scanners as you want.
Senior Security Consultant at a consultancy with 10,001+ employees
CDP allows for easy, mostly automated scalability where I can schedule job workflows, fine-tune system resource metrics, and add nodes with just a click.
Cloud Data Administrator at a financial services firm with 10,001+ employees
They have the cloud burst feature available where if the on-premises capacity is not sufficient at a point in time, you can run that Spark job on the cloud itself.
Data engineer at a tech vendor with 10,001+ employees
The ability to scale processing capacity on demand for batch jobs without impacting other workloads, and support for a growing number of concurrent users and teams accessing the platform simultaneously are significant advantages.
Software Engineer at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
7.5
BigID Next is often seen as reliable with some stability concerns but praised for data security and ease of use.
Sentiment score
6.5
Cloudera Data Platform offers reliable performance with minor issues, requiring careful configuration, especially in complex environments to prevent downtime.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
Sometimes the end user is not experienced or does not have all the expertise related to Cloudera specifically, making it very difficult to manage properly
Data architect at SentientAI, Karachi
Sometimes a node goes down, but it automatically returns to a healthy state.
Cloud Data Administrator at a financial services firm with 10,001+ employees
Cloudera Data Platform is pretty stable in my experience; there are not any downtime or reliability issues.
Data engineer at a tech vendor with 10,001+ employees
 

Room For Improvement

BigID Next needs enhancements in file access, security, automation, UI navigation, deployment, data governance, and support features.
Cloudera Data Platform needs usability, stability, and security improvements, enhanced AI/ML features, and better multi-tenancy and cloud integration.
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.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
Senior Manager at KPMG
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.
Assistant Manager - Cyber : Digital Privacy and Trust at Deloitte
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
Senior Architect at a comms service provider with 1,001-5,000 employees
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
Data Architect at ubl
Cloudera Data Platform can be improved by addressing the feasibility of using it in the cloud; there are some complexities around the components used in cloud by Cloudera Data Platform that are not really convenient.
ML Engineer - Director at a financial services firm with 10,001+ employees
 

Setup Cost

BigID Next offers premium, capacity-based pricing; valued by large enterprises for advanced features, less feasible for smaller businesses.
Enterprise buyers find Cloudera cost-effective versus Oracle, though pricing complexity varies based on deployment size and negotiations.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
The pricing is competitive in the market, however, I need to ask for the right price.
Senior Manager at KPMG
Initially, CDH had a straightforward pricing model based on nodes, but CDP includes factors like processors, cores, terabytes, and drives, making it difficult to calculate costs.
Senior Architect at a comms service provider with 1,001-5,000 employees
We find Cloudera Data Platform to be cost-effective.
Cloud Data Administrator at a financial services firm with 10,001+ employees
So far, I would say that it is competitive pricing that we have received.
Data engineer at a tech vendor with 10,001+ employees
 

Valuable Features

BigID Next offers a user-friendly design, seamless Microsoft integration, and powerful data discovery, classification, and protection capabilities.
Cloudera Data Platform offers scalability, user-friendly interface, integration, cost-effective storage, security, and simplifies administration for hybrid environments.
One of the best features of BigID is its strength in data discovery and governance.
Senior Manager at KPMG
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
Senior Security Consultant at a consultancy with 10,001+ employees
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
By using the Hadoop File System for distributed storage, we have 1.5 petabytes of physical storage with 500 terabytes of effective storage due to a replication factor of three.
Senior Architect at a comms service provider with 1,001-5,000 employees
The Ranger integration makes it more flexible and reliable for me by allowing control over data access, specifying who can access at what level, such as table level, masking, or data layer level.
Cloud Data Administrator at a financial services firm with 10,001+ employees
What stands out the most in Cloudera Manager are SDX, which provide centralized control for governance, security, and data lineage across multiple sources.
Data Platform Specialist at Lutech
 

Categories and Ranking

BigID Next
Ranking in AI Data Analysis
2nd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (7th), Data Governance (6th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (4th)
Cloudera Data Platform
Ranking in AI Data Analysis
12th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Cloud Master Data Management (MDM) (8th), Data Management Platforms (DMP) (4th)
 

Mindshare comparison

As of January 2026, in the AI Data Analysis category, the mindshare of BigID Next is 2.7%, down from 16.7% compared to the previous year. The mindshare of Cloudera Data Platform is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Market Share Distribution
ProductMarket Share (%)
BigID2.7%
Cloudera Data Platform0.7%
Other96.6%
AI Data Analysis
 

Featured Reviews

Aniruddha Nath - PeerSpot reviewer
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.
T Sarwar - PeerSpot reviewer
Data architect at SentientAI, Karachi
Has enabled efficient big data processing and querying but remains complex to manage and configure
Cloudera Data Platform should use fewer tools and remove the complexity between them. It should make it easier for the end user to change the configuration and understand it better. The UI tool for jobs in Cloudera Data Platform can be improved to provide a proper image of ETL jobs and detailed consolidated graphs to monitor Spark-based Hue jobs.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Insurance Company
9%
Computer Software Company
8%
Manufacturing Company
6%
Manufacturing Company
10%
Performing Arts
10%
Financial Services Firm
9%
Transportation Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise26
 

Questions from the Community

What do you like most about BigID?
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 i...
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...
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...
What is your experience regarding pricing and costs for Hortonworks Data Platform?
The experience with pricing, setup cost, and licensing is very good.
What needs improvement with Hortonworks Data Platform?
Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful ...
What is your primary use case for Hortonworks Data Platform?
Cloudera Data Platform on AWS was adopted as the core enterprise data platform, covering the full data lifecycle from ingestion to analytics and advanced use cases. Cloudera Data Platform was used ...
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID Next vs. Cloudera Data Platform and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.