Qlik Compose vs Teradata comparison

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Qlik Compose

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Qlik Compose are competitors in the data warehousing market. Teradata appears to have an edge with its focus on analytics and performance capabilities.

Features: Teradata is recognized for its robust parallel processing, scalability, and comprehensive analytics tools, making it adept at managing extensive data volumes. It efficiently handles complex queries and offers flexibility in deployment across different environments. Qlik Compose is distinguished by its strong data transformation and integration features, with particular ease of use in data modeling and code generation, attracting users interested in swift database setups.

Room for Improvement: Teradata could enhance its cloud integration and pricing structure to better compete with cloud-native solutions. It also needs to modernize its architecture to support unstructured data. Qlik Compose should improve its ETL capabilities and monitoring functions, alongside enhancing scalability and making user interface adjustments for non-technical users.

Ease of Deployment and Customer Service: Teradata offers flexible deployment options, ranging from on-premises to public cloud, albeit with potential complexity. Its technical support receives positive feedback, though response times can be inconsistent. Qlik Compose provides user-friendly deployment, appreciated for its intuitive nature, but there's an opportunity to bolster technical support responsiveness.

Pricing and ROI: Teradata is acknowledged for its high pricing, justifying this with substantial performance and user satisfaction. Qlik Compose's pricing reflects its user-friendly transformation capabilities, though users indicate room for cost-efficiency improvements. Both solutions promise strong ROI, with users affirming that the investment enhances efficiencies and analytical effectiveness.

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

Qlik Compose vs. Teradata

June 2025

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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

32nd

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

15th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (20th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of Qlik Compose is 1.1%, up from 0.9% compared to the previous year. The mindshare of Teradata is 1.1%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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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RajeshKumar25

Principal Consultant & Director at Quensulting

Harnessing advanced parallelism for top performance while embracing cloud trends

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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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 is a scalable solution."

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

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

"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."

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

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

"One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."

"It's a stable solution."

More Qlik Compose pros

"It's very mature from a technology perspective."

"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."

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

"Designing the database is easy."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"The ability to handle machine data parallel processing is the most valuable feature of Teradata."

More Teradata pros

Cons

"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."

"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."

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

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

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

"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."

"There could be more customization options."

"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."

More Qlik Compose cons

"Data synchronization to the DR site."

"Teradata can improve the way it handles big data and unstructured data."

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

"I think the UI is not there yet. It could be improved by being more user-friendly."

"The scalability could be better. The on-premises solution is always more complicated to scale."

"It could be a bit more user-friendly."

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

"It could use some more advanced analytics relating to structured and semi-structured data."

More Teradata cons

Pricing and Cost Advice

"The price of the solution is expensive."

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

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

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

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

"The cost of running Teradata is quite high, but you get a good return on investment."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

"The solution requires a license."

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

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%

Manufacturing Company

Government

Computer Software Company

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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,...

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Product Reports

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Qlik Compose

June 2025

Download Teradata product report

May 2025

Also Known As

Compose, Attunity Compose

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

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 scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Poly-Wood

Netflix