

Qlik Talend Cloud and Qlik Replicate compete in the data management category. Based on the data comparisons, Qlik Replicate seems to have the upper hand due to its rapid data loading and Change Data Capture capabilities, making it ideal for real-time data analytics.
Features: Qlik Talend Cloud offers a broad array of connectors, robust data integration, and flexibility with Java, which is ideal for complex data processes and collaboration. It's also known for its open-source tools and community support. Qlik Replicate is designed for fast data loading and near real-time CDC, ensuring minimal impact on source performance and offering a user-friendly interface for task management.
Room for Improvement: Qlik Talend Cloud users experience issues with system stability and memory usage, along with documentation and geo-data integration tools. Enhancements in reporting and real-time processing are desired. Qlik Replicate is criticized for user interface errors, the need for better error reporting, and handling complex table reloads. Its pricing model and API flexibility are also areas needing improvement.
Ease of Deployment and Customer Service: Qlik Talend Cloud allows deployment across on-premises, private, and public clouds with hybrid model support. Customer service varies, suggesting a need for better support on complex issues. Qlik Replicate provides a stable environment, especially in the cloud, with generally good customer service and responsive technical support.
Pricing and ROI: Qlik Talend Cloud is viewed as cost-effective, especially with open-source offers, appealing to those seeking flexible financial models with significant cost savings and efficiency gains. Qlik Replicate is often seen as expensive, suitable for large enterprises, offering pricing dependent on cores and endpoints. It is less favorable for small businesses but provides strong ROI through quick data management and effective replication.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Customers have seen ROI with Qlik Replicate because they get their data for analysis faster, enabling quicker decision-making compared to traditional data sourcing methods.
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.
Even priority tickets, which should be resolved in minutes, can take days.
Support response times could be improved as there are sometimes delays in receiving replies to support cases.
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.
The system could be scaled to include more sources and functions.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
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 is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license.
Licensing is calculated based on the machine's total capacity rather than actual usage.
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
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.
The most valuable feature of Qlik Replicate is their change data capture feature.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
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 (%) |
|---|---|
| Qlik Talend Cloud | 1.9% |
| Qlik Replicate | 1.9% |
| Other | 96.2% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Large Enterprise | 10 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 18 |
Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.
Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.
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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