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BigID Next vs Qlik Talend Cloud 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
5.8
Qlik Talend Cloud enhances efficiency and cost savings, enabling rapid task completion and smooth transitions with reduced errors.
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
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
IT Consultant at a tech services company with 201-500 employees
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
Data & Analytics Engineer at PicPay
We actually achieved the first 18 months worth of work in the first six months.
Enterprise Architect at Waikato Regional Council
 

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
7.1
Qlik Talend Cloud's customer service is praised for responsiveness, efficiency, supportive interactions, knowledgeable support, and helpful resources.
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
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
IT Consultant at a tech services company with 201-500 employees
I would rate the technical support from Talend Data Quality as an 8 or 9.
Senior Consultant at a tech services company with 201-500 employees
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
Assistant Consultant at a tech vendor 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
7.0
Qlik Talend Cloud efficiently scales in cloud environments, with positive feedback on performance, parallelization, and dynamic scaling capabilities.
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
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
IT Consultant at a tech services company with 201-500 employees
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
Data & Analytics Engineer at PicPay
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Assistant Consultant 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
7.1
Qlik Talend Cloud is generally stable, though users may encounter issues with large datasets, server reboots, and updates.
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
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Consultant en intelligence décisionnelle at VO2 Group
Once the jobs are properly designed and deployed, they run reliably without major issues.
IT Consultant at a tech services company with 201-500 employees
It was not as stable when we were using TAC and on-premise systems, but currently, with Qlik Talend Cloud version 8.3 or 8.1, it is stable.
Data Engineer at HCLSoftware
 

Room For Improvement

BigID Next needs enhancements in file access, security, automation, UI navigation, deployment, data governance, and support features.
Qlik Talend Cloud faces crashes, multitasking issues, poor documentation, stability problems, and lacks tools, needing improvements in security and support.
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
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Enterprise Architect at Waikato Regional Council
Better cost and resource visibility would help teams optimize their workloads.
Data & Analytics Engineer at PicPay
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
IT Consultant at a tech services company with 201-500 employees
 

Setup Cost

BigID Next offers premium, capacity-based pricing; valued by large enterprises for advanced features, less feasible for smaller businesses.
Qlik Talend Cloud offers subscription-based pricing with varied costs, emphasizing package evaluation to manage expenses effectively.
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
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
Assistant Consultant at a tech vendor with 10,001+ employees
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
ETL developer 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.
Qlik Talend Cloud provides high-performance data integration with real-time access, extensive connectors, automation, and robust data quality tools.
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 automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month.
IT Consultant at a tech services company with 201-500 employees
We perform profiling prior to data quality and post-data quality, and based on that, we determine how much it has improved to measure the efficiency of Talend Data Quality cleaning tools.
Senior Consultant at a tech services company with 201-500 employees
The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work.
Data & Analytics Engineer at PicPay
 

Categories and Ranking

BigID Next
Ranking in Data Governance
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (7th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)
Qlik Talend Cloud
Ranking in Data Governance
8th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
54
Ranking in other categories
Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of BigID Next is 5.2%, down from 7.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 1.8%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
BigID5.2%
Qlik Talend Cloud1.8%
Other93.0%
Data Governance
 

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.
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Insurance Company
9%
Computer Software Company
8%
Manufacturing Company
6%
Financial Services Firm
12%
Computer Software Company
10%
Comms Service Provider
7%
Manufacturing 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 Business20
Midsize Enterprise11
Large Enterprise20
 

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 do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about BigID Next vs. Qlik Talend Cloud and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.