Qlik Compose vs Rivery comparison

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Qlik Compose

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Executive SummaryUpdated on Dec 19, 2024

Qlik Compose and Rivery compete in the data integration space. Rivery has the upper hand with superior features and adaptability, offering a better investment.

Features: Qlik Compose has robust automation and data handling capabilities, simplifies ETL processes, and ensures a seamless data pipeline. Rivery offers extensive pre-built connectors, the ability to orchestrate complex workflows, and a comprehensive toolset for complex integrations, enhancing user control and flexibility.

Ease of Deployment and Customer Service: Qlik Compose offers streamlined deployment with efficient customer service. Rivery provides a flexible cloud-based deployment model, adapting to various business needs, with proactive, responsive customer service for efficient issue resolution.

Pricing and ROI: Qlik Compose presents competitive pricing with straightforward costs, promising ROI for cost-efficient businesses. Rivery is costlier but offers significant ROI through its scalable features and capabilities, justifying the higher investment and promising better long-term returns.

To learn more, read our detailed Qlik Compose vs. Rivery Report (Updated: August 2026).

Qlik Compose vs. Rivery

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Qlik Compose

Ranking in Data Integration

52nd

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Rivery

Ranking in Data Integration

26th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Migration Tools (2nd), Cloud Migration (12th), Cloud Data Integration (16th)

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Qlik Compose is 0.8%, down from 1.1% compared to the previous year. The mindshare of Rivery is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Rivery	0.7%
Qlik Compose	0.8%
Other	98.5%

Data Integration

Featured Reviews

Susheel A

Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees

Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal

It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it. When it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

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Anup Dhungel

CDL at Ycotek

Training has boosted custom ETL scripting and now debugging complex incremental loads needs work

The best feature Rivery offers is the ability to build custom or user-defined functions. You can even develop Python scripts to perform transformations on your data frames. This flexibility allows you to implement custom requirements, making Rivery more versatile than relying solely on in-built functions. Regarding features such as the interface, scheduling, or connectors, I found that as of 2022 when I last used it, the monitoring was good, although the debugging process for custom scripts was somewhat challenging. If we encountered issues with custom-built scripts, debugging was difficult since it used to send standard errors rather than specific ones. From what I recall, monitoring worked well, and we could connect to multiple relational and other sources, which was advantageous. A few of my colleagues and I were able to earn certifications on Rivery, which motivated us, even though we could not pursue or implement Rivery project for clients. The learning experience was very valuable as we had around seven or eight resources participating in those trainings, and they were all excited to learn about this new tool for us at the time.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Qlik Compose is good enough. It is user-friendly and intuitive."

"I have found it to be a very good, stable, and strong product."

"It is a scalable solution."

"It's a stable solution."

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."

"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."

More Qlik Compose pros

"The process of using Rivery has worked very smoothly for me, and I found the tool very easy to use, allowing me to gain a lot of insights."

"Anyone looking into using Rivery should know it is a great product."

"This solution has many data sources; they connect to many, many APIs in the market and new ones are being added all the time."

"The solution's most valuable features are that it is quick to connect and simple to use."

"Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast."

"The main benefit Rivery brought to my organization was the time we were able to save on development, and by using all these automation features provided by Rivery together with integration to Snowflake, we were able to solve problems."

"Rivery has positively impacted my organization by enabling us to create a stable pipeline, and we can expand the variety of the data sources as we go very easily, with no worries, and with a lot of confidence in the fact that it can be done."

"Rivery has positively impacted my organization by helping me streamline my data ingestion and transformation processes, especially in combination with Snowflake."

Cons

"There could be more customization options."

"I don't think Qlik can be used in a high-volume scenario. It didn't work for us."

"I'd like to have access to more developer training materials."

"Qlik's ETL and data transformation could be better."

"I believe that visual data flow management and the transformation function should be improved."

"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."

"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

More Qlik Compose cons

"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."

"My experience with pricing, setup cost, and licensing was unfortunately not so good in my recent data project."

"I think lineage and an impact analysis or logic dependency are lacking."

"Rivery can be improved by generally investing a bit more depth into the product, mainly in orchestration and specific features comparable to mature products."

"I think Rivery could be improved by having more analytical features inside."

"The key challenges I recall were related to the incremental merging logic, which was not functioning properly."

"As an end user of Rivery, I would like to see it be less commercial for users."

Pricing and Cost Advice

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"The price of the solution is expensive."

"I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Comms Service Provider

10%

Construction Company

10%

Manufacturing Company

Construction Company

17%

Comms Service Provider

15%

Manufacturing Company

13%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

What is your experience regarding pricing and costs for Rivery?

I do not know about the experience with pricing, setup cost, and licensing as it was not part of my job.

What needs improvement with Rivery?

I think Rivery could be improved by having more analytical features inside. I do not know if in the latest updates there are some AI tools to use or something related to that. Sometimes I wish for ...

What is your primary use case for Rivery?

My main use case for Rivery involves collecting data from different sources, and with Rivery, I am able to put them together and load the data directly in Snowflake.

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Product Reports

Qlik Compose

Download Qlik Compose product report

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Also Known As

Compose, Attunity Compose

No data available

Overview

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

Rivery enhances automation with its built-in pipelines, seamless Snowflake integration, and flexible data management capabilities. It supports extensive connectivity and user-defined functions, aiding efficient data flow management.

Rivery provides a robust platform for automating data ingestion and transformation workflows, integrating effortlessly into data warehouses like Snowflake. Its user-friendly interface and extensive API connectivity simplify data extraction and flow, accommodating diverse needs with custom scripting and user-defined functions. Despite its strengths, improvements are desired in lineage, impact analysis, and advanced visualization, along with better orchestration and logging capabilities. Users also seek price adjustments for smaller organizations and integration with modern AI technologies to elevate analytical capabilities.

What features does Rivery offer?

Extensive Connectivity: Supports connecting to multiple data sources including social media and databases.
Automation: Built-in pipelines simplify data flow management and transformation.
Flexibility: Custom scripting allows tailored data processing.
Snowflake Integration: Seamless integration saves time and resources.
API Connectivity: Easy connection to various APIs enhances data sourcing.

What benefits and ROI should users consider?

Time Efficiency: Automates data workflows, reducing manual tasks.
Cost Monitoring: Effective tracking of expenses related to data processes.
Responsiveness: Support team ensures quick resolution of issues.
User-Friendliness: Intuitive interface facilitates ease of use.

In industries such as retail and finance, Rivery is crucial for managing ETL processes. Retail organizations use it for integrating data from sales channels and customer databases, driving targeted marketing strategies. Finance companies rely on its robust pipelines and Snowflake integration to streamline complex financial data transformations and enhance reporting accuracy.

Sample Customers

Poly-Wood

Information Not Available

Qlik Compose vs. Rivery