How does Qlik ETL & Data Integration perform on certain components?
In our study, we also inspected the various software products of Qlik software. More than 290 criteria were used in the process. The chart below shows the scores (on a scale of 1-5) of Qlik Data Integration, compared to other ETL & Data Integration tools. Please note that Passionned Group is 100% independent of the software vendors in our research. We are not a reseller, we do not make deals or have any ties to the vendor. Among other things, we help and advise organizations in selecting the right ETL & Data Integration platform.
Figure 1: Scorecard of the Data Integration provider Qlik. You can get a maximum score of 100 percent. Reference: The ETL & Data Integration Guide 2024. Do you want to know more about the survey structure? Check out our buyers guide for ETL & Data Integration.
The Qlik analysis was done by collecting a lot of public big data and from there thoroughly analyzing it. More than 2,441 documents were analyzed for this vendor. In this analysis process, both AI models and the critical eye of an experienced and independent specialist played a key role in finalizing the validation process.The ETL & Data Integration Guide 2024 
In our 100% vendor-neutral ETL & Data Integration Guide we have researched all the ins and outs of Qlik for you. You will get access to many (short) courses, tutorials, tech talks, lectures, demos, and always have the latest ETL & Data Integration news at your fingertips. Our guide will also help you in the further development of your expertise in ETL & Data Integration.
Qlik and their complete ETL & Data Integration product portfolio
Qlik sells (a minimum of) 11 products in the field of ETL & Data Integration. Here, we list the most important products in order of popularity:
What is Qlik Data Integration?
Under this heading, we report the (main) characteristics of Qlik Data Integration, including some of its features and any related products. This product group consists of Qlik Replicate, Attunity, Qlik Compose, Qlik Catalog, Qlik Cloud Data Integration, Qlik Data Exchange, Qlik DataTransfer, Qlik Lineage Connectors, Qlik Automation, and Qlik Salesforce Connector. Qlik Data Integration can be best defined by the following properties:
- CDC
- cloud data integration
- data ingestion
- data integration
- data integration platform
- data pipelines
- data replication
- data sources
- data transformation
- real-time data
Do you want to know everything about all the functionalities (100+) of Qlik Data Integration? Download the ETL & Data Integration Guide™ 2024 here.
Are you considering hiring an expert in Qlik Data Integration?
Are you looking for an interim Qlik Data Integration consultant who can do a mountain of work for you, and can help you to implement a beautiful Qlik Data Integration application? You can always call on the Qlik Data Integration specialists at Passionned Group. Indeed, hiring Qlik Data Integration developers is not always necessary and sometimes even inconvenient. Drop a message here and we’ll get back to you quickly.
What is Qlik Replicate?
We don’t reveal everything here but, in this paragraph, we display the details of Qlik Replicate, including some of its features and any related products. This product/group of products can be defined by the following characteristics:
- CDC
- data ingestion
- data replication
- full load
- real time
- scheduling
Are you curious about all the functions (100+) of Qlik Replicate? Then order the ETL & Data Integration Guide™ 2024 here.
What is Attunity?
In this part, we give you insight into the key behaviors of Attunity, including some of its features and any related products. The product Attunity can be defined by the following functionalities:
- database replication
- data integration
- data integration platform
- data management
- data sources
- nosql
Do you want to know the intricacies of all properties (100+) of Attunity? Then download our ETL & Data Integration Guide™ 2024 here.
What is Qlik Compose?
We do not display all the features here but, in this paragraph, we describe Qlik Compose, including some of its features and any related products. Qlik Compose can be best characterized by the following features:
- data integration
- data lakes
- data marts
- data pipelines
- data warehouse
- data warehouse automation
- ETL
- GIT
- JSON
- security
Are you curious about all features (100+) of Qlik Compose? Download the ETL & Data Integration Guide™ 2024 here.
What is Qlik Catalog?
In this section, we portray Qlik Catalog, including some of its features and any related products. This product/group of products can be best characterized by the following characteristics:
- API
- authentication
- data catalog
- data integration
- data management
- data pipelines
- enterprise data catalog
- metadata
- security
- windows
Are you now curious about all the functionalities (100+) of Qlik Catalog? In that case, order the ETL & Data Integration Guide™ 2024 here.
What is Qlik Cloud Data Integration?
Under this heading, we report the (main) characteristics of Qlik Cloud Data Integration, including some of its features and any related products. This product/group of products can be characterized by the following characteristics:
- API
- CDC
- cloud data integration
- data integration
- data integration platform
- data pipelines
- data sources
- ETL
- real-time data
- real time
Do you want to know the intricacies of all properties (100+) of Qlik Cloud Data Integration? Download the ETL & Data Integration Guide™ 2024 here.
What is Qlik Data Exchange?
Under this heading, we provide a description of Qlik Data Exchange, including some of its features and any related products. This product can be best defined by the following properties:
- amazon redshift
- data integration
- data sources
- ETL
- interoperability
- metadata
- salesforce
- SDK
- windows
- XML
Are you now curious about all elements (100+) of Qlik Data Exchange? Then order the ETL & Data Integration Guide™ 2024 here.
What is Qlik DataTransfer?
In this paragraph, we describe Qlik DataTransfer, including some of its features and any related products. This product can be best characterized by the following functionalities:
- API
- cloud platforms
- CSV
- data replication
- data sources
- data transfer
- data warehouse
- ODBC
- windows
Do you want to know the intricacies of all the functions (100+) of Qlik DataTransfer? In that case, order the ETL & Data Integration Guide™ 2024 here.
What is Qlik Lineage Connectors?
In this section, we portray Qlik Lineage Connectors, including some of its features and any related products. This product can be best defined by the following characteristics:
- API
- data integration
- data lineage
- data pipelines
- data sources
- metadata
- microsoft sql server
- SQL
- sql server
- windows
Are you curious about all features (100+) of Qlik Lineage Connectors? Then order the ETL & Data Integration Guide™ 2024 here.
What is Qlik Automation?
Under this heading, we provide a description of Qlik Automation, including some of its features and any related products. This product can be characterized by the following functionalities:
- API
- AWS
- CSV
- data integration
- data marts
- data quality
- data warehouse
- data warehouse automation
- JSON
- scheduling
Are you curious about all elements (100+) of Qlik Automation? Download directly our ETL & Data Integration Guide™ 2024 here.
What is Qlik Salesforce Connector?
In this paragraph, we provide a description of Qlik Salesforce Connector, including some of its features and any related products. Qlik Salesforce Connector can be best defined by the following functionalities:
- API
- authentication
- data integration
- data sources
- metadata
- salesforce
- sandbox
- SOAP
- SOQL
- SSO
Are you curious about all features (100+) of Qlik Salesforce Connector? In that case, open the ETL & Data Integration Guide™ 2024 here.
Three recent innovations of Qlik Data Integration tools and the version history
Recently, we see a stable evolution when it comes to ETL & Data Integration functionality and support for various platforms and data sources. The latest innovations are in the areas of data infrastructure > operating system > UNIX > UNIX server, data integration > data integration patterns, and data connectivity > FTPS.
We investigated Qlik’s most recent releases of its complete ETL & Data Integration proposition. Below you can see the structure of the various releases of the various ETL & Data Integration products of Qlik:
- Attunity: 6.5 5.0 4.0 4 3.0
- Qlik Catalog: May 2023 February 2023 November 2022 May 2022 February 2022 November 2021 May 2021 February 2021
- Qlik Compose: May 2022 August 2021 May 2021 25
- Qlik Data Integration: February 2024 May 2021
- Qlik DataTransfer: November 2022 August 2022 April 2022
- Qlik Replicate: May 2024 May 2023 November 2022 November 2021 May 2021 2023.11 2022.11
- Qlik Salesforce Connector: December 2022 13.1 13.0
Behind each product, we notate the version numbers, the most recent updates are listed first.
Can you easily determine the licensing costs of Qlik Replicate, Attunity, and Qlik Compose?
In many cases, it can be difficult to determine the licensing costs of Qlik ETL & Data Integration because it depends on the country, the number of users (or the number of CPUs in the case of server software), the connectors to data sources, and at what point in the year you request a quote. If you do this a few weeks before the end of Qlik’s fiscal quarter, you may be in for a decent discount. In addition, we recommend to run the software in the cloud. Often you only pay for what you consume in resources. The purchase cost of Qlik Replicate, Attunity, and Qlik Compose may not be the largest amounts, but maintenance and support can certainly put quite a strain on your annual budget.
What makes Qlik ETL & Data Integration worth considering
In our study, we see that Qlik in the field of ETL & Data Integration software has several specific features which may be the deciding factor in purchasing. This makes Qlik Data Integration more or less unique: one-way data synchronization, two-way data synchronization, incremental ETL, MDG, and sql replication.
The advantages and disadvantages of Qlik Data Integration
Figure 35: Tag cloud with the strength-weakness analysis of Qlik ETL & Data Integration
In the following paragraphs, we name all the pros and cons of Qlik ETL & Data Integration, Qlik Replicate, Attunity, and Qlik Compose, et cetera. They are not cemented in place, i.e.: Qlik can currently work on creating features that meet specific customer needs (such as support for GIT, big data security, EAI, self-service integration, and data quality framework). Or a certain feature is not (yet) (well) documented.
Share your experience
Leave a review about Qlik ETL & Data Integration here. Your opinion may then start to count in an even more informed review of the results of Qlik Data Integration.
1. Qlik Data Connectivity
Qlik has an excellent score in our study on the subject ‘Data Connectivity’, given that they score 97% on this, relative to other vendors. We considered the following factors: microsoft sql server and amazon redshift. In total, we examined 50 criteria within this section. Would you like to go into more depth with the subject ‘Data Connectivity’? Then download here our ETL & Data Integration Guide.
2. Qlik Data Integration
Qlik has an excellent rating in our study on the subject ‘Data Integration’, given that they score 96% on this, compared to other vendors. We looked at the following criteria, among others: ETL, data flow, data integration platform, cloud data integration, agile data integration, data lakehouses, and cloud-native data integration. In doing so, we investigated the following five products: Qlik Data Integration, Attunity, Qlik Data Exchange, Qlik Compose, and Qlik Catalog. In total, we examined 167 features within this discipline. Would you like to become more proficient in the subject ‘Data Integration’? Then download here our ETL & Data Integration Guide. Or learn more about the following topics:
3. Qlik Data Management
Qlik has an excellent score in our study on the subject ‘Data Management’ with a score of 92%, compared to other vendors. We used the following selection criteria: OLAP, scheduling, real time, data pipelines, source table, data loader task, and visual data preparation. In doing so, we analyzed the following two products: Attunity and Qlik Catalog. In total, we examined 71 aspects in this category. Would you like to delve further into the subject ‘Data Management’? Then download here our ETL & Data Integration Guide.
4. Qlik Data Infrastructure
Qlik has an excellent score in our 100% vendor-independent ETL & Data Integration survey on the subject ‘Data Infrastructure’. The company scores 87% on this topic, compared to other vendors. We considered the following factors: data virtualization, interoperability, cloud platforms, serverless data integration service, and serverless big data integration. In total, we examined 87 selection criteria within this main theme. Are you planning to specialize further in the subject ‘Data Infrastructure’? Then download here our ETL & Data Integration Study. Or learn more about the following topics:
5. Qlik Metadata Management
Qlik has an excellent score in our 100% vendor-independent ETL & Data Integration survey on the section ‘Metadata Management’, given that they score 85% on this, relative to other vendors. The following criteria were used: data catalog, data lineage, enterprise data catalog, business glossary, and impact analysis. In total, we examined 7 aspects in this category. Are you planning to specialize further in the subject ‘Metadata Management’? Then download here our ETL & Data Integration Guide 2024.
6. Qlik Data Replication
The company has a good rating in our current ETL & Data Integration survey of the theme ‘Data Replication’. The score amounts to 76%, relative to other vendors. The following criteria were used: database replication, sql replication, transactional replication, replication model, file replication, salesforce data replication, and manual replication. In doing so, we studied the following two products: Qlik Data Integration and Qlik Replicate. In total, we examined 32 criteria within this section. Would you like to learn more about the subject ‘Data Replication’? Then download here our ETL & Data Integration Guide.
7. Qlik Data Governance
Qlik has a good score in our independent ETL & Data Integration survey on the subject ‘Data Governance’. The score amounts to 73%, compared to other vendors. We used the following selection criteria: data protection and data privacy. In total, we examined 15 criteria in this category. Would you like to delve further into the subject ‘Data Governance’? Then download here our ETL & Data Integration Guide 2024.
8. Qlik Self-service Integration
Qlik has a good performance in our 100% vendor-independent ETL & Data Integration survey of the theme ‘Self-service Integration’. The company scores 60% on this topic, relative to other vendors. We used the following selection criteria: self-service data preparation, self-service data integration, self-service data warehouse, self-service data management, self-service data quality, self-service data profiling, and self-service data cleansing. In total, we examined 8 selection criteria within this main theme. Would you like to go into more depth with the subject ‘Self-service Integration’? Then download here our ETL & Data Integration Study.
9. Qlik Data Quality Management
Qlik has a good score in our independent ETL & Data Integration survey of the theme ‘Data Quality Management’. The company scores 51% on this topic, relative to other vendors. We looked at the following criteria, among others: data quality, data profiling, business rules, data cleansing, data quality rules, financial data quality, and data quality issues. In total, we examined 28 features within this discipline. Are you excited about the subject ‘Data Quality Management’? Then download here our ETL & Data Integration Guide.
10. Qlik Master Data Management
The company has a moderate rating in our independent ETL & Data Integration survey on the subject ‘Master Data Management’ with a score of 33%, relative to other vendors. The following criteria were used: location data, master data quality, master data replication, employee master data, master data quality management, master location data, and master data quality rules. In total, we examined 16 criteria within this section. Are you excited about the subject ‘Master Data Management’? Then download here our ETL & Data Integration Guide 2024. Or learn more about the following topics:
Want to know more? Then take a look at our ETL & Data Integration Guide™ 2024 here
The footprint of Qlik ETL & Data Integration in different sectors
In our vendor-neutral ETL study, we also found out which industries a supplier is doing business in. These are the industries where Qlik is most frequently used: airlines, energy, food, governments, higher education, public sector, real estate, and retail.
Qlik software is most used by…
The ETL & Data Integration software from Qlik is most often mentioned in combination with the following functions/roles: data engineers, data stewards, information steward, and mapping designer.
Hire an experienced Qlik consultant
Courses and training Qlik ETL & Data Integration
We facilitate various courses in the area of ETL & Data Integration but can also provide specific Qlik training, for instance as in-company. For example, you can think about the following software: Qlik Replicate, Attunity, and Qlik Compose. Of course, we color such a training with the ideas of the intelligent, data-driven organization.
In conclusion: Qlik Data Integration scores eminent
Qlik has a compact product portfolio with which it scores eminent in our ETL & Data Integration survey. Qlik ETL & Data Integration innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in many different sectors, and growing high in the field of data connectivity.
About Passionned Group
Passionned Group concentrates on 100% independent ETL & Data Integration consulting and the implementation of ETL & Data Integration solutions. Our dedicated and passionate consultants help governments, institutions and commercial organizations to advance as smart, data-driven businesses.
