

Qlik Talend Cloud and Aiven Platform compete in the data integration and management landscape. Aiven Platform often has the upper hand due to its robust features and real-time data capabilities, making it a worthwhile investment for many stakeholders.
Features: Qlik Talend Cloud offers strong interoperability and a wide range of integration capabilities, making it ideal for disparate systems. Its competitive pricing and responsive customer support add value. Aiven Platform provides managed cloud services with high scalability, real-time data processing, and is preferred for businesses with evolving data needs.
Ease of Deployment and Customer Service: Qlik Talend Cloud follows a traditional deployment model requiring technical expertise, supported by responsive customer service. Aiven offers an easier deployment process with managed services that reduce complexity, aligning with agile-based practices, providing a smoother experience.
Pricing and ROI: Qlik Talend Cloud has a lower upfront cost, promoting short-term adoption with appealing ROI. Aiven Platform is more expensive initially but offers long-term benefits through efficient resource management and operational simplicity, proving advantageous for sustained ROI. Budget constraints and strategic goals greatly influence the choice between the two.
I see a return on investment with Aiven Platform, as there is money saved compared to other platforms.
I see it as an investment as it eliminates our need for infrastructure to manage databases or tools.
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.
If I encounter any issues such as losing data or query problems, support is available.
The downtime decreases from seventy to twenty percent, which is noteworthy.
Customer service usually responds promptly.
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 scalability of Aiven Platform is great.
It supports automatic scaling, high availability, and can handle growing workloads without significant infrastructure management.
Aiven Platform's governance and security are strong, as it includes a comprehensive suite of compliance standards such as NIST and HIPAA.
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.
We've set up alerts, so if we have an increasing volume and so on, it's up to us to increase CPU, increase RAM, and all those details.
Aiven Platform provides 99.99% uptime, which demonstrates strong reliability.
It enables us to manage a database automatically, retrieve data, and store data.
Aiven Platform is stable, and I have not experienced any downtime throughout my usage.
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.
Regarding Aiven Platform's AI capabilities, I think it could improve by providing more granular role-based access control, enhancing audit logging, clearer compliance reporting, and more centralized policy management for governance and security.
I would really like to see Aiven Platform add a user interface for database backups, as this would eliminate the need for a third-party solution.
I would appreciate more documentation of workflows in Aiven Platform, such as details on Cloud jobs and GCP buckets, since having additional resources would be beneficial.
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.
This reduced costs to 30 rupees compared to 100 rupees previously with other providers, resulting in a 70% cost efficiency.
It is competitively priced and cost-effective compared to managing infrastructure ourselves.
The cost for hosting with Aiven Platform seems high compared to managing it ourselves.
The setup cost is very expensive.
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.
Among those features, the one that stands out most is the automatic management and scalability, as it reduces the operational workload, ensures reliability, and allows the team to focus on building applications instead of managing infrastructure.
It provides 99.99% uptime.
One of the most valuable features of Aiven Platform is that it handles the upgrades for us seamlessly, saving us time that would be spent on routine upgrades.
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 | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 3.2% |
| Aiven Platform | 2.3% |
| Other | 94.5% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 12 |
| Large Enterprise | 20 |
Aiven for Apache Kafka is a robust data streaming platform utilized for real-time analytics, event-driven architectures, and message brokering, enhancing data processing across systems. It features scalable operations, excellent data replication, and comprehensive monitoring, significantly improving organizational efficiency and decision-making processes through high-level data management capabilities.
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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