Talend Data Fabric vs Teradata comparison

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Talend Data Fabric

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Talend Data Fabric compete in data management and analytics. Teradata has an edge in analytics performance, while Talend excels in data integration and transformation.

Features: Teradata is well-known for its high-performance analytics, scalability, and linear performance across large datasets. It supports parallel processing and offers a robust workload management system. Talend Data Fabric provides comprehensive data integration, supports diverse data sources, and includes user-friendly graphical interfaces for ease of use.

Room for Improvement: Teradata could improve with better integration capabilities and user interface enhancements to reduce complexity. It's often seen as requiring skilled IT personnel for optimal use. Talend Data Fabric could benefit from enhanced analytics capabilities, more scalable performance, and reduced reliance on external tools for advanced analytics tasks.

Ease of Deployment and Customer Service: Teradata offers a structured deployment model ideal for large enterprises with skilled IT teams and comes with reputed customer support. Talend Data Fabric provides an intuitive deployment process, making it accessible to organizations with varying IT resources, supported by reliable customer service.

Pricing and ROI: Teradata involves a substantial initial cost, justified by its advanced analytics capabilities and eventual high ROI. Talend Data Fabric presents a budget-friendly option, particularly for firms prioritizing integration and transformation, with ROI reflected in its flexible, efficient data processes.

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

Talend Data Fabric 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

Talend Data Fabric

Ranking in Data Integration

28th

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

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 Talend Data Fabric is 0.9%, down from 1.4% 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%
Talend Data Fabric	0.9%
Other	98.3%

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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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.

Read full review

Quotes from Members

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

Pros

"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."

"The initial setup is very easy."

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

"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."

"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."

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

"The product is reliable."

"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."

"I like writing preformance queries for preprocessing on AWS Cloud."

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

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

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

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

More Teradata pros

Cons

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

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

"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."

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

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

"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."

"I'm not sure about the unstructured data management capabilities. It could be improved."

"I would like to see more integration with many different types of data."

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

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

"The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput."

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

"The current operational approach needs improvement."

"Teradata has a few AI models, but in data science, we need more flexibility."

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"

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

"It comes at a notably high cost for what it offers."

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"The price of Teradata could be less expensive."

"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 price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

"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."

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

17%

Computer Software Company

10%

Educational Organization

Manufacturing 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	4
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	49

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 40% of the time

Azure Data Factory vs Talend Data Fabric

Compared 18% 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 10% of the time

Talend Data Management Platform vs Talend Data Fabric

Compared 8% of the time

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Oracle Exadata vs Teradata

Compared 11% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

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

More Teradata Competitors

Product Reports

Data Integration

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Also Known As

No data available

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

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 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

Information Not Available

Netflix

Talend Data Fabric vs. Teradata