

Qlik Talend Cloud and Segment are competing in data management and analytics. Segment seems to have an edge with its advanced features, while Qlik Talend Cloud appeals to cost-sensitive buyers with competitive pricing and robust support.
Features: Qlik Talend Cloud provides comprehensive data integration, transformation capabilities, and supports multiple data sources with extensive ETL functionality. Segment focuses on customer data management, data unification, and real-time analytics, offering deep insights into customer behavior. Qlik Talend Cloud addresses broad data operations, whereas Segment is tailored to specialized customer data analytics.
Ease of Deployment and Customer Service: Qlik Talend Cloud offers flexible deployment and extensive support resources, enhancing its adaptability across ecosystems. Segment provides a straightforward deployment process with exceptional customer assistance, prioritizing rapid implementation and user satisfaction. Both products excel in deployment, with Segment's setup particularly streamlining initial deployment.
Pricing and ROI: Qlik Talend Cloud offers competitive pricing with a notable return on investment through its comprehensive suite of data tools. Segment’s pricing reflects premium features and promises long-term return through enhanced customer insights. Despite Qlik Talend Cloud's more affordable entry, Segment offers value through in-depth analytics capabilities, potentially justifying its higher cost for businesses prioritizing customer engagement analytics.
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.
Engineering effort related to data integration and tracking maintenance decreased by roughly 40 to 50%.
It's hard to quantify exactly the hours spent, but from that abandoned basket flow, it was something around seven million DKK that has been made since we launched it.
This also helped us save around 40,000 US dollars across all different personnel in cost per project.
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.
Segment's customer support is amazing.
At our initial phase, whenever I required any help related to the setup, I contacted them and they provided me with the solution in very little time.
I received my reply from Segment support team within 24 hours.
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.
As our user base, event volumes, and number of integrations increased over time, Segment was able to handle the additional load without requiring any major architectural changes from our side.
It's fully capable of handling all of the different use cases that we have in our company and we have a very complicated company.
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 have not experienced any critical outages directly impacting our business operations.
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.
More flexibility in pricing models or clear scaling options would make it easier for mid-sized companies to expand usage without significant budget concerns.
These video tutorials would really illustrate how to use the tool to its full potential.
A standardized SOP would help us create our own integrations to newly created destinations.
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.
I know that we're very happy with the pricing so far.
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.
I think predictive audiences require a 360 view of the customer in order to create these types of AI audiences because they use a lot of different data points.
Segment has improved our data quality and our ease of collection, and most importantly, it has saved us time by not having to maintain a custom tool for server-side tracking.
Segment has positively impacted my organization by reducing implementation time to one-third of what it previously took.
| Product | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 2.0% |
| Segment | 0.7% |
| Other | 97.3% |

| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 12 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
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.
Segment offers dynamic audience-building and precise tracking, enhancing marketing efficiency and simplifying data management for businesses. It integrates well with analytics services, promoting effective customer insights and personalized campaign executions.
Segment provides businesses with sophisticated tools that streamline workflows and improve campaign efficiency. With user-friendly implementation, it significantly enhances marketing outcomes by simplifying data management through seamless integration with analytics services. Its unified profile system facilitates comprehensive customer insights, while reducing integration efforts via built-in links to diverse data sources. Businesses benefit from highly accurate website tracking and powerful predictive audience tools, ensuring that their marketing strategies effectively target main audiences and achieve better personalization.
What are the key features of Segment?Industries leverage Segment for its ability to serve as a central data hub, effectively managing CRM integrations and audience targeting. Companies utilize it to connect databases for tracking and analyzing server-side user actions. Retail businesses employ it for journey building and cart abandonment tracking, while tech firms optimize sales funnels through strategic data management, leading to more effective lead qualification and conversion processes.
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