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BigID Next vs Qlik Sense 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
6.1
Qlik Sense quickly enhances ROI through automation, cost savings, and improved business performance, relations, and operational efficiency.
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
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
Director Software Engineer at a computer software company with 10,001+ employees
 

Customer Service

Sentiment score
6.9
BigID Next's support is praised for responsiveness, efficiency, and high customer satisfaction, despite occasional delays and time-consuming initial contact.
Sentiment score
5.3
Qlik Sense's community and customer service are appreciated, but technical support quality, response times, and costs receive mixed reviews.
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
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Director Software Engineer at a computer software company with 10,001+ employees
Technical support requires improvement.
Associate Director at a tech services company with 51-200 employees
In Turkey, the consultant firms are very professional, and they support you.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
6.9
BigID Next is scalable with mixed opinions, excelling in large environments but facing data handling and presentation challenges.
Sentiment score
7.6
Qlik Sense is scalable, managing large data volumes effectively, though costs rise with user licenses and resource requirements.
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
It performs well in terms of performance and load compared to others.
Associate Director at a tech services company with 51-200 employees
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
Solution Architect at Predoole Analytics
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
student at a educational organization with 1,001-5,000 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
7.6
Qlik Sense is praised for stability, with minimal crashes, reliable performance, and robust support even with large datasets.
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
The stability is very good.
Associate Director at a tech services company with 51-200 employees
 

Room For Improvement

BigID Next needs enhancements in file access, security, automation, UI navigation, deployment, data governance, and support features.
Qlik Sense users seek improved data integration, user-friendliness, pricing clarity, and enhanced features for better collaboration and visualization.
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
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Director Software Engineer at a computer software company with 10,001+ employees
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
Solution Architect at Predoole Analytics
 

Setup Cost

BigID Next offers premium, capacity-based pricing; valued by large enterprises for advanced features, less feasible for smaller businesses.
Qlik Sense's enterprise pricing is higher, but cloud options offer cost-effectiveness and fast ROI with careful assessment necessary.
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
It is just about how expensive it is to implement.
student at a educational organization with 1,001-5,000 employees
Compared to Power BI, it is definitely costly.
Associate Director at a tech services company with 51-200 employees
Among the BI tools and data analytics tools, Qlik is the most expensive.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
 

Valuable Features

BigID Next offers a user-friendly design, seamless Microsoft integration, and powerful data discovery, classification, and protection capabilities.
Qlik Sense offers rapid performance, seamless data integration, user-friendly analytics, and AI insights with real-time exploration and collaboration.
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
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
Director Software Engineer at a computer software company with 10,001+ employees
The true power is in the ability to connect with any database, get the data, and work with the data.
Director at a consultancy with 1,001-5,000 employees
Real-time data analysis can be performed, and collaboration with other team members is seamless.
Project Engineer at Wipro
 

Categories and Ranking

BigID Next
Ranking in AI Data Analysis
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (13th), Data Governance (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), Data Security Platforms (DSP) (1st)
Qlik Sense
Ranking in AI Data Analysis
16th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
126
Ranking in other categories
Data Visualization (6th), Embedded BI (2nd)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of BigID Next is 0.7%, down from 23.3% compared to the previous year. The mindshare of Qlik Sense is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
BigID Next0.7%
Qlik Sense0.4%
Other98.9%
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.
Saranya Deepthi - PeerSpot reviewer
Project Engineer at Wipro
Improved AI-driven dashboards have accelerated decisions but still need better visuals and faster refresh
Absolutely, nothing is entirely positive, and everything has both advantages and disadvantages. When I worked with Qlik Sense, circular charts were not available, which meant I had to look for alternative solutions that would be reliable or make the functionality work. There are some features that need to be added. Additionally, there is a limit to the number of fields that can be added in Qlik Sense, and I believe it would be beneficial if they increased the count for fields and columns. There might be requirements where an Excel file contains many columns that need to be displayed as visual representations to clients, and in those situations, it becomes very difficult and I have to use alternative approaches. When this problem arose, I used HTML code to write a solution and make it work. Qlik Sense should avoid these types of limitations in future updates. Another issue is page resolution. If a client wants to view the dashboard on a single page without scrolling, bar charts appear small and the values in KPIs, bar charts, scatter plots, and line graphs cannot be seen very clearly. Adding more extensions to make the job easier would also be beneficial. Improvements to reporting would be helpful as well, because working with large datasets makes reporting very difficult. Additionally, when data is refreshed, it cannot be completed in a short timeframe. Refreshing very large datasets can take one, two, or even three hours, so reducing the refresh time would be very useful for customers.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
11%
Insurance Company
8%
Comms Service Provider
7%
Financial Services Firm
18%
Construction Company
9%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise89
 

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...
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 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...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
What is your experience regarding pricing and costs for Qlik Sense?
It is not about performance. It is just about how expensive it is to implement.
 

Also Known As

No data available
QlikSense, Qlik Analytics Platform
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
Find out what your peers are saying about BigID Next vs. Qlik Sense and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.