

Qlik Talend Cloud and BigID Next are two leading solutions providing capabilities in data integration and management. Users often prefer Talend for its cost-effectiveness and features, while BigID is recognized for its broad data governance functionalities, which may justify its higher cost.
Features: Qlik Talend Cloud offers high-performance data integration with numerous connectors, real-time access, and data transformation. It supports flexible customization using Java and provides extensive ETL tools with customizable interfaces and powerful data quality features. BigID Next prioritizes data governance and security, featuring advanced data discovery, comprehensive classification capabilities, and integration across multiple data sources for compliance and privacy.
Room for Improvement: Qlik Talend Cloud can enhance its installation process, memory management, stability, and documentation. Users also suggest better support and bug fixing, along with improvements in tool capability and integration with specific applications. BigID faces challenges with scan reliability, viewing large data files, and high licensing costs. Suggestions include enhancing user interface navigation, automation, and data connection setups.
Ease of Deployment and Customer Service: Qlik Talend Cloud provides flexible deployment options across various environments and generally receives positive feedback for its customer service and technical support, although complex issues may require improvement. BigID, commonly used in hybrid or private clouds, has mixed reviews for deployment but is praised for proactive customer support and technical assistance, aiding in successful implementations despite noted challenges.
Pricing and ROI: Qlik Talend Cloud offers a cost-effective subscription-based model advantageous for varied business needs, with an open-source option avoiding upfront costs. Users often report swift returns on investment due to enhanced efficiency. Conversely, BigID's pricing aligns with its premium features, primarily serving large organizations with intricate data governance needs, though its cost may discourage smaller enterprises. Nonetheless, companies using its robust compliance solutions often see justified ROI.
It is one of the best tools in the market.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
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.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
We actually achieved the first 18 months worth of work in the first six months.
BigID has one of the best technical support teams.
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.
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.
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
I would rate the technical support from Talend Data Quality as an 8 or 9.
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.
I have added very large data sources to the BigID environment, and it remains stable.
BigID is scalable, allowing you to purchase as many scanners as you want.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Once the jobs are properly designed and deployed, they run reliably without major issues.
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.
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.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
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.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Better cost and resource visibility would help teams optimize their workloads.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
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.
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
One of the best features of BigID is its strength in data discovery and governance.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
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 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.
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.
| Product | Market Share (%) |
|---|---|
| BigID | 5.2% |
| Qlik Talend Cloud | 1.8% |
| Other | 93.0% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
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?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.
Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.
Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.
What are the key features?In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.
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