Qlik Compose vs Teradata comparison

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Qlik Compose

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Qlik Compose are key competitors in the data warehousing domain. Teradata appears to have an advantageous position, especially in large-scale data processing and performance, while Qlik Compose is noted for its intuitive handling of ETL tasks.

Features: Teradata exhibits remarkable scalability and performance due to its massively parallel processing architecture, handling large data volumes with ease. It provides comprehensive security features and compatibility with various analytical tools. Qlik Compose excels in data integration and automation, simplifying ETL processes and data warehouse generation. Its user-friendly design and automation capabilities make it a preferred choice for users looking for effective data warehousing solutions.

Room for Improvement: Teradata could address its high costs and improve the scalability and integration features for cloud environments. Users desire enhanced user-friendliness and big data ecosystem compatibility. Qlik Compose could enhance its ETL monitoring and scheduling functions, improve scalability, facilitate handling complex processes, and provide more thorough documentation to streamline user experience.

Ease of Deployment and Customer Service: Teradata offers extensive deployment options, including on-premises and hybrid cloud solutions, with well-regarded customer service and technical support. Qlik Compose provides flexibility in deployment through on-premises and cloud setups, but its customer service and technical guidance are areas where users identify room for enhancement in comparison to Teradata.

Pricing and ROI: Teradata is identified with premium pricing but is seen as cost-effective with its large-scale data handling capabilities. Despite high initial costs, its performance is valued by users. Qlik Compose, while also costly, presents more attractive pricing models for those seeking strong data integration without Teradata's overhead. Both solutions offer substantial returns on investment, although Teradata's pricing may not be feasible for smaller enterprises.

To learn more, read our detailed Qlik Compose vs. Teradata Report (Updated: September 2025).

Qlik Compose vs. Teradata

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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

38th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Integration

17th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Qlik Compose is 1.0%, up from 1.0% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	0.8%
Qlik Compose	1.0%
Other	98.2%

Data Integration

Featured Reviews

Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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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

"It's a stable solution."

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

"It can scale."

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

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

"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 technical support is very good. I rate the technical support a ten out of ten."

More Qlik Compose pros

"The ease of deployment is useful so clients are up and running quickly in comparison to other products."

"The most valuable feature is the ease of running queries."

"We really enjoy the FastLoad, TPump, and MultiLoad features."

"Improved performance of ETL procedures, reporting."

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

More Teradata pros

Cons

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."

"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."

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

"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."

"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."

"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."

"There could be more customization options."

More Qlik Compose cons

"There are some ways that the handling of unstructured data could be improved."

"The following could be better: licensing, architecture openness, integration with other tools."

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

"Their level of technical support is adequate. It could be better."

"The cost of Teradata Cloud Data Warehouse has room for improvement."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

More Teradata cons

Pricing and Cost Advice

"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."

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

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"Teradata is not cheap, but you get what you pay for."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"Teradata's licensing is on the expensive side."

"The price of Teradata could be less expensive."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Government

10%

Manufacturing Company

Insurance Company

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

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	26
Midsize Enterprise	12
Large Enterprise	49

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 do you like most about Qlik Compose?

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

What is your experience regarding pricing and costs for Qlik Compose?

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

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

Qlik Replicate vs Qlik Compose

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Compared 11% of the time

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Compared 7% of the time

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Compared 7% of the time

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Qlik Compose

Download Qlik Compose product report

Download Teradata product report

Also Known As

Compose, Attunity Compose

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility.

Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

Qlik

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

Poly-Wood

Netflix

Qlik Compose vs. Teradata