Talend Data Fabric vs Teradata comparison

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Talend Data Fabric

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Executive SummaryUpdated on Jul 27, 2025

Teradata and Talend Data Fabric are competing products in the data management sector. Teradata generally holds an advantage in pricing and support, offering robust long-term ROI for enterprise needs, whereas Talend Data Fabric is marked by its versatility, appealing to those looking for immediate integration and adaptability.

Features: Teradata boasts robust analytics, efficient complex query handling, and advanced data warehousing integration. Its scalable architecture adapts well to high-data volumes. Talend Data Fabric offers comprehensive data integration, extensive support for various data sources, and user-friendly data processing tools, emphasizing dynamic adaptability.

Room for Improvement: Teradata could enhance user accessibility and simplify integration processes for smaller enterprises. Its high initial costs might be a deterrent for more agile businesses. Talend Data Fabric may benefit from enhanced analytics capabilities, better handling of complex queries, and expanding its integration with premium data warehousing solutions.

Ease of Deployment and Customer Service: Teradata's deployment suits large enterprises with complex needs, supported by robust customer service. It offers structured setup but may lack flexibility for smaller entities. Talend Data Fabric provides streamlined deployment suitable for varied environments, offering scalability for different business sizes and responsive customer support.

Pricing and ROI: Teradata typically involves a higher initial setup cost but delivers a strong ROI through high-end analytics, appealing to larger enterprises. Talend Data Fabric offers a more affordable initial investment with scalable solutions, which enhances ROI through its flexibility and deployment versatility, suiting organizations seeking immediate integration solutions.

To learn more, read our detailed Talend Data Fabric vs. Teradata Report (Updated: July 2025).

Talend Data Fabric vs. Teradata

July 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

Talend Data Fabric

Ranking in Data Integration

26th

Average Rating

8.4

Reviews Sentiment

7.3

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 (6th), 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 August 2025, in the Data Integration category, the mindshare of Talend Data Fabric is 1.1%, down from 1.4% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

KrishnaBaddam

Presales Manager at Artha Solutions

Supports API integrations and enables users to handle data management

Informatica is a well-established product known for its stability. Hardware and configuration can affect its performance, and it's not a lightweight tool that will fail quickly. When purchasing Informatica, you have options based on your needs. A simple data ingestion or integration license is relatively affordable, but the full Data Fabric suite is expensive. The Data Fabric suite includes integration, data quality, API management, big data processing, and real-time capabilities. For those who don't need the entire suite, purchasing individual components, such as data integration or data quality, it is a more cost-effective option. These individual licenses are generally less expensive than the complete Data Fabric suite, offering a more flexible and budget-friendly choice than Informatica's flagship.

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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

"The initial setup is very easy."

"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."

"The Talend data integration has been one of the most valuable features."

"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."

"We've had no issues with the stability so far."

"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."

"The solution scales well on the cloud."

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

"It has a solid set of tools and consulting services."

"Cuts time to process huge amounts of data with efficient analytical queries."

"I've never had any issues with scalability."

"The data processing, clustering, and distributed computing are impressive."

"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."

More Teradata pros

Cons

"I would like to see better integration with other tools."

"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."

"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."

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

"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."

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

"I would like more security and speed."

"Teradata's UI could be improved."

"GUI of administrative tools is really outdated."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

More Teradata cons

Pricing and Cost Advice

"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."

"There are no additional licensing fees when you scale"

"It's a very expensive product."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

"The cost is significantly high."

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

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

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Educational Organization

Insurance Company

Financial Services Firm

26%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Talend Data Fabric?

The initial setup is very easy.

What needs improvement with Talend Data Fabric?

Data governance is still not mature. There is not much documentation available for it, and the maturity of the product does not meet my expectations. Master Data Management has been decommissioned,...

What is your primary use case for Talend Data Fabric?

The main use cases for Talend Data Fabric include setting up a data lake to enable the data platform.

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,...

Talend Open Studio vs Talend Data Fabric

Comparisons

Compared 41% of the time

Azure Data Factory vs Talend Data Fabric

Compared 24% of the time

Talend Data Management Platform vs Talend Data Fabric

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Fabric

Compared 10% of the time

Palantir Foundry vs Talend Data Fabric

Compared 8% of the time

More Talend Data Fabric Competitors

Oracle Exadata vs Teradata

Compared 12% of the time

SQL Server vs Teradata

Compared 8% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Download Talend Data Fabric product report

Data Integration

August 2025

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July 2025

Also Known As

No data available

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

Overview

Talend, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

Talend

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

Information Not Available

Netflix