Qlik Talend Cloud and Ping Identity Platform compete in data integration and identity management solutions. Qlik Talend Cloud holds an edge in data management and process customization, while Ping Identity Platform is favored for its identity security integrations.
Features: Qlik Talend Cloud offers extensive metadata sharing, data quality support, and customizability via Java code, suitable for handling large data volumes. Ping Identity Platform provides robust multi-factor authentication, seamless cross-platform integration, and a large community for support.
Room for Improvement: Qlik Talend Cloud needs to address installation stability, memory consumption, and comprehensive documentation enhancements. It also requires better real-time processing and version control support. Ping Identity Platform could enhance its desktop interface, ease third-party integration, and simplify configuration.
Ease of Deployment and Customer Service: Qlik Talend Cloud supports flexible deployments across on-premises, private, and public clouds, but its customer support experiences vary. Ping Identity Platform excels in hybrid deployment with reliable support, focusing on quality over broader deployment options.
Pricing and ROI: Qlik Talend Cloud is attractive with its open-source option despite complex licensing, offering a high ROI with cost-effective data integration. Ping Identity Platform's flexible pricing aligns with subscription needs, justifying costs with its security features, making it more suitable for larger organizations.
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.
I have reached out to technical support for troubleshooting SAML certificate mismatches and federated errors between Ping and enterprise apps.
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.
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.
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.
I would like to enable ServiceNow Generative AI for auto-diagnosing PingFederate SSO failures and suggest remediation steps.
Ping Identity Platform has multiple products for access management, identity management, a solution for API security, a solution for authorization, and a product for identity verification.
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.
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 platform enhances security measures by analyzing multi-factor authentication attempts, highlighting suspicious patterns, and generating compliance reports.
It's a converged platform which can do both identity management, access management, and recently they are bringing privilege management capability as well.
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 | 1.8% |
| Ping Identity Platform | 0.6% |
| Other | 97.6% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
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.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
