# Qlik Talend Cloud Reviews **Vendor:** Qlik **Category:** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) **Average Rating:** 4.6/5.0 **Total Reviews:** 13 ## About Qlik Talend Cloud Qlik Talend Cloud offers extensive data integration capabilities plus data quality and governance. Available in Starter, Standard, Premium, and Enterprise editions, it provides features such as bulk and incremental replication, log-based CDC, no-code/low-code/pro-code data pipeline development, a data products catalog, and more . Qlik Talend Cloud can automate the design, creation and continuous update of data warehouses, lakehouses, and AI-ready data lakes on any cloud platform. It offers real-time or near-real-time data integration across heterogeneous environments, supporting critical workloads like fraud detection and AI inference. Qlik Talend Cloud has a scalable 'go-as-you-grow' approach, and supports multiple data integration patterns. Globally available on cloud infrastructure, this unified platform is designed to provide a trusted data foundation for AI and support various data integration needs across organizations of all sizes. ## Qlik Talend Cloud Pros & Cons **What users like:** - Users appreciate the **easy API integration** with Qlik Talend Cloud, simplifying data ingestion pipelines without extra infrastructure. (1 reviews) - Users value the **automation capabilities** of Qlik Talend Cloud, which simplify data ingestion without extra infrastructure setup. (1 reviews) - Users value the **ease of building data ingestion pipelines** in Qlik Talend Cloud without extra infrastructure setup. (1 reviews) - Users value the **ease of building Data Ingestion pipelines** in Qlik Talend Cloud without needing extra infrastructure. (1 reviews) - Users value the **easy data ingestion pipeline creation** in Qlik Talend Cloud, enhanced by an SQL-like framework. (1 reviews) - Data Storage (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Feature Innovation (1 reviews) - SQL Support (1 reviews) ## Qlik Talend Cloud Reviews ### 1. Great Tool to Setup Data Ingestion pipeline **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2023 **What do you like best about Qlik Talend Cloud?** Upsolver enables its users to build Data Ingestion pipelines without setting up additional infrastructure. In the latest version, one can build he entire pipeline and schedule it with an SQL Like framework. **What do you dislike about Qlik Talend Cloud?** Upsolver can look to integrate more Data stores for ingestion as well as data dumps. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Upsolver is a Big Data Ingestion tool that provides a one-stop solution for building and orchestrating data pipelines. It manages all the infrastructure requirements under the hood. ### 2. As a startup - upsolver offers a great platform to transfer , manage and transform data at ease! **Rating:** 5.0/5.0 stars **Reviewed by:** Ido A. | Head Of Data And BI, Mid-Market (51-1000 emp.) **Reviewed Date:** February 24, 2022 **What do you like best about Qlik Talend Cloud?** With the platform's simplicity, it is effortless to set up a source connector, transform the data using a simple SQL editor and send it wherever I want. The best feature, In my opinion, is the fact that I can duplicate a "Flow" and send it to another destination. **What do you dislike about Qlik Talend Cloud?** The UI is a little bit unpleasant to the human eye, but it is a small thing compared to the system's functionality and simplicity **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Transferring raw data from streams, modeling the data into an aggregated data model (enriching it with Lookup Tables), and sending it to multiple resources using. ### 3. An ETL tool which facilitates data ingestion **Rating:** 4.5/5.0 stars **Reviewed by:** Nir E. | System Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** February 28, 2022 **What do you like best about Qlik Talend Cloud?** * Ease of use * UI simplicity * Support team availability & professionalism **What do you dislike about Qlik Talend Cloud?** * Sometimes, it takes time for the UI to get updated * Couldn't find a simple login page;) **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Preparing semi-structured log files, to be later queried by BI analytics tools ### 4. Working as Needed **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** February 23, 2022 **What do you like best about Qlik Talend Cloud?** Simplicity of performing transforms with SQL-like development language. **What do you dislike about Qlik Talend Cloud?** Better documentation and examples of function use that is more helpful to understand the inputs and outputs. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Transform of various data sources to the data warehouse for analysis. Separation of data engineering development to work on other higher value and pressing concerns. ### 5. A good solution handled by capable and available engineers **Rating:** 4.5/5.0 stars **Reviewed by:** Assaf L. | Data Platform Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2021 **What do you like best about Qlik Talend Cloud?** Upsolver enabled us to generate real time tables over streaming inputs, a problem that took us endless resources to solve. The interface is fairly intuitive and API first. The engineers help us to solve all our use-cases and are very driven to create a robust and stable infrastructure. Support handled by the engineers quickly and generously 24/7. **What do you dislike about Qlik Talend Cloud?** As Upsolver still suffers from maturity issues, we still have many Bugs, irregular and unpredictable behavior. Some of the releases may contain regressions. The UI can be quite cumbersome and repetative when trying to duplicate the use-cases. We eventually had to fallback to do most of our pipeline generation, using our own tools. **Recommendations to others considering Qlik Talend Cloud:** Use Upsolver engineers to share your vision with. They are highly capable and are able to provide the best fit for you problem which may require additional work on Upsolver's side. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** We mostly use it to generate CDC real time tables and views. We benefit from the option to share a scalable cluster across multiple streaming pipelines and to option to use seperated replay units when needed. The API enabled us to define pipelines in a frictionless manner without needing to introduce the system for more users. ### 6. Amazing streaming experience **Rating:** 4.5/5.0 stars **Reviewed by:** Doron P. | Data platform engineering team lead, Mid-Market (51-1000 emp.) **Reviewed Date:** April 20, 2021 **What do you like best about Qlik Talend Cloud?** We came to POC Upsolver after facing issues with streaming CDC data effectively into our S3 data lake for a long time. We found the solution so refreshing! performance was unbelievable, and at a fraction of the cost we used to spend using other (open source) technologies. We found the Upsolver staff to be super intelligent and responsive, and we now see them as partners with whom we can grow. It is also important to note that output data remains in Parquet format which relieves us from confronting hard decisions around our dependency in the SW and gives us the ability to consume the outputs using any technology we wish, free of dependencies. **What do you dislike about Qlik Talend Cloud?** I find the UI and the configurations to be a little confusing (and prone to mistakes, in our use case), which brought us to enable internal users at Yotpo to deploy new pipelines using a CLI interface we constructed over Upsolver's REST API. Also, processing sizeable historical data sets spread over a wide time frame can be slow and expensive. Complex data pipelines, including multiple sources and triggers, are hard to implement through Upsolver (as through most streaming infra today) using lookup tables and non-intuitive syntax, I feel as if this area has much potential and I'm certainly looking forward to what Upsolver design would be for these use cases in the (hopefully near) future. **Recommendations to others considering Qlik Talend Cloud:** Upsolver offers an excellent solution in the data streaming business; these guys know what they're doing! they figured out how to solve an actual big data problem and offer a mature and resilient technology. The interface isn't always as good as I'd wish it was, but the tech certainly makes up for it. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Our primary use case is streaming CDC data from Kafka into the data lake in real-time. We are also streaming logs data into the data lake, and generally, anything coming in from Kafka we want to make available in the data lake. Upsolver has helped us reach our product SLAs and open up new opportunities we did not see as possible beforehand. ### 7. Data & BI Senior Manager **Rating:** 5.0/5.0 stars **Reviewed by:** Boaz G. | R&D Manager - Data & BI, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2021 **What do you like best about Qlik Talend Cloud?** We have evaluated Upsolver for replacing an existing batch-based MPP Analytics pipeline. The main reasons we eventually decided to go with Upsolver for, are: 1. Fast Time-To-Market - implementation time of production-grade solution goes down to a fraction compared to a fully-self-developed solution using either open or closed source tools. 2. Highly efficient \ Cost-Effective A. The number of developers and IT\devops personnel required to operate the solution is much lower than traditional solutions. B. real ETL-as-a-service - Upsolver is doing it all for you; it leaves little room for mistake by providing end-to-end coverage of the full application needs - from data loading and scanning, through queuing and up to built-in monitoring capabilities. C. Compute resources are utilized wisely and precisely to reduce cost as much as possible. D. you have 0 cost for maintaining the operation 3. Scalable and Flexible: OOB support for many connectors to either read data from, or output data to. Smart automatic scaling capabilities by utilizing pre-built scaling strategies. Upsolver SQL is enriched by all standard and advanced SQL capabilities (json, arrays etc...) and also supports extended capabilities for manipulting special data (eg. geo\ip, URL and more). 4. API and serving: All Upsolver capabilities are provided in API - this gives many options to automate processes. Upsolver Lookup is blazing fast when used as key-value store for serving external API needs, with high scale and throughput. This is a big advantage for specific use-cases, and we use it to query our streaming data from our Web API. **What do you dislike about Qlik Talend Cloud?** After using the platform for over 1 year, main drawbacks are: 1. Development cycle is limited; automated deployment cycle is difficult to achieve since Upsolver account is tied to a cloud account where development environments are maintained in a separate model. 2. The tool is aimed for streaming-aggregates data pipeline and lacks the support for more batch-oriented (classic) ETL needs (e.g. controlling the time of a particular output) 3. Incurred license and cloud costs should not be ignored while developing the Upsolver pipeline (as with any cloud-based solution for data processing). Adding Logic\pipelines and\or compute resources can go "under the radar" quickly, and cost can rise, especially if a developer has no access to the cloud resources console. * Especially for a project with strict budget borders **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Analytics big-data processing: Joining stream-sets to memory-based lookups Aggregating hourly data Data enrichment Upsolver is extremly extensive and quick for utillization in order to solve complex requirements which in the past required working around them or installing external components to acheive similar outputs. ### 8. DataLake Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 21, 2021 **What do you like best about Qlik Talend Cloud?** * Intuitive GUI - can be operated by users who are not fluent with SQL or programming * Modular Pipelines - easy to create different pipeline that are using data for different use cases * Multiple Connectors - easy to connect to data in different data stores and to update into different ones as well **What do you dislike about Qlik Talend Cloud?** Focus on Streaming and minimal support for old ETL - some of our customers have old or legacy data infrastructure and need simpler capabilities compare to the modern streaming support of UpSolver. You can still use the product, however, you need to wait for the streamingn to catch up, even when no streaming is needed. **Recommendations to others considering Qlik Talend Cloud:** Great modern data tool with the right flexibility to support multiple data use cases when starting or scaling up cloud datalake platforms. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Automatic update of datasets in different customer projects ### 9. Smart ETL in a simple words: Great PRODUCT! **Rating:** 5.0/5.0 stars **Reviewed by:** Alejandro B. | Product and Technology Consultant - Volunteer, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2021 **What do you like best about Qlik Talend Cloud?** Real PaaS in the deep meaning of the words. Data flow in my infraestructure and the app connect perfectly with it. **What do you dislike about Qlik Talend Cloud?** They limited OOB connectors for non-aws apps **Recommendations to others considering Qlik Talend Cloud:** Upsolver is a great tool. I'm glad he won the tender we launched. It is effortless to deploy and operate; of course, it has an advanced option to create custom queries or connectors. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Near real-time aggregations are created simply. We looked for a tool to easily recognize the source schemas, and we found it. ### 10. Amazing product, Incredibly brilliant team **Rating:** 4.0/5.0 stars **Reviewed by:** Ron B. | Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2021 **What do you like best about Qlik Talend Cloud?** Upsolver solved a genuine problem within the data integration space, streaming data in minimum latency and cost. I love the easy setup and integration. customer support is one of the best I've seen. **What do you dislike about Qlik Talend Cloud?** As new data formats are becoming the new standard such as Delta, Iceberg & Hudi, Would love to see some sort of implementation to of those formats within the platform. The UI requires a lot of tinkering in order to get something running, and it's easy to get confused and make mistakes, **What problems is Qlik Talend Cloud solving and how is that benefiting you?** We use Upsolver to ingest CDC data from all operational data sources into our centerlized data lake for analytical purposes. ### 11. A great solution for providing fast data **Rating:** 5.0/5.0 stars **Reviewed by:** Markson M. | Project Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** April 22, 2021 **What do you like best about Qlik Talend Cloud?** What I like best on Upsolver is the speed which can return large amounts of data to our platform. **What do you dislike about Qlik Talend Cloud?** I dislike the limits on filtering data at the lookup tables. **What problems is Qlik Talend Cloud solving and how is that benefiting you?** Our problem was to delivery fast and detailed statistics to our web application. Upsolver helped us with that and the scalability that we needed to get bigger customers. ### 12. Simplify cloud data pipelines, reduce TCO and TTM **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 02, 2021 **What do you like best about Qlik Talend Cloud?** Upsolver makes it easy to manage your cloud data pipelines and build your lake, warehouse, or other cloud database quickly and with increased agility. **What do you dislike about Qlik Talend Cloud?** Nothing really, Upsolver has been fulfilling their promise **What problems is Qlik Talend Cloud solving and how is that benefiting you?** We have been using Upsolver to build our data pipelines, data-lakes, data warehouses, and other databases, all with a single holistic architecture and used by different teams throughout the company. With upsolver have not only managed to proving data internally across the company, but also been using it to build new data-powered features into our product. ### 13. Great tech and great people **Rating:** 5.0/5.0 stars **Reviewed by:** Oren E. | Data team lead, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2021 **What do you like best about Qlik Talend Cloud?** So easy and simple to use almost nothing is needed beside input and output **What do you dislike about Qlik Talend Cloud?** Better documentation will help a lot in the overall usage **What problems is Qlik Talend Cloud solving and how is that benefiting you?** ETL, enrichment in a time window - [View Qlik Talend Cloud pricing details and edition comparison](https://www.g2.com/products/qlik-talend-cloud/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-28+02%3A19%3A31+-0500&secure%5Bsession_id%5D=2a1b7269-a7cc-4dac-b24c-7a9b7e476d1b&secure%5Btoken%5D=fe62428657774b8bf36f15f4265d327ee819545953767b33d66810d56fdaea0b&format=llm_user) ## Qlik Talend Cloud Features **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Functionality** - Diverse Extraction Points - Data Structuring - Consolidation - Data Cleaning - Cloud Extraction - Visualization **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Reporting - Auditing **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Data management** - Metadata Management - Automation Features - Collaboration - Data Lineage - Data Discovery **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Security** - Access Control - Roles Management - Compliance Management **Reporting** - Intelligent Insights - Actionable Insights - Dashboards **Diverse Extraction Points** - Diverse Extraction Points **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Data Quality** - Data Preparation - Data Distribution - Data Unification **Maintainence** - Data Quality Management - Policy Management **Generative AI** - AI Text Generation - AI Text Summarization **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization ## Top Qlik Talend Cloud Alternatives - [Domo](https://www.g2.com/products/domo/reviews) - 4.3/5.0 (987 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (773 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (755 reviews)