FME vs Teradata comparison

Read 83 Teradata reviews

11,786 Views
1,532 Comparison Views

88% willing to recommend

FME

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 4, 2026

Teradata and FME are key players in data management and integration. Teradata leads in scalability and analytics, making it ideal for data warehousing, while FME's flexibility in data transformation and system integration makes it a versatile choice.

Features: Teradata is known for its robust data warehousing, supporting large-scale analytics efficiently. Its ability to handle high volumes of data through parallel processing is a significant asset. Teradata's security features and ability to integrate seamlessly with various platforms further enhance its value. FME's strength lies in its graphical user interface, easy process optimization, and extensive support for multiple data formats. The platform excels in spatial data handling and integration with external systems like Python.

Room for Improvement: Teradata could enhance user-friendliness as it requires specialized expertise for optimal use. Its traditional pricing model might not suit smaller organizations. Additionally, improving its cloud integration could widen its market appeal. FME might benefit from more advanced automation features and stronger support for real-time data processing. Also, expanding its analytics capabilities could position it better in competitive landscapes.

Ease of Deployment and Customer Service: Teradata offers a comprehensive deployment model with substantial support, making it suitable for large enterprises. FME's deployment process is straightforward with minimal overhead, supported by a strong customer service team, which makes it appealing for rapid implementations.

Pricing and ROI: Teradata presents a competitive pricing model offering good ROI for large enterprises due to its data handling capabilities. FME provides flexibility in pricing and delivers significant ROI for organizations focused on data transformation and integration. The contrast in pricing reflects different target customer needs, with Teradata focusing on large-scale analytics and FME on versatility across diverse environments.

To learn more, read our detailed FME vs. Teradata Report (Updated: March 2026).

FME vs. Teradata

Download the complete report

Helped 885,311 peers since 2012

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

FME

Ranking in Data Integration

30th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Integration

13th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (16th), Relational Databases Tools (5th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (5th)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of FME is 1.2%, down from 1.7% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Teradata	0.9%
FME	1.2%
Other	97.9%

Data Integration

Featured Reviews

Gert Booysen

Software Solutions Leader at GE Vernova

Extensive format support and reliable integration enhance data management while new pricing model requires reassessment

I haven't had any input or requirements from any customers that are not currently covered, so I don't have any additional needs that were identified or raised to me. Regarding pricing, with the model changes that they've implemented a while back, it actually made it more expensive to use, especially on the server side. They changed the licensing model, and that made customers think it is overpriced. Some customers were actually looking at alternatives. Pricing with the model changes was perceived negatively. I work primarily with enterprise customers, Vodacom, Eskom, so it's tier-one customers. For small customers, this solution is a bit too expensive. They don't really use it and just do direct integration on smaller implementations. This is basically used by tier-one customers. FME is still able to save time and money for clients. It's still a good investment. Regarding similar products to FME, GE developed a product called Data Fabric. That is a real-time operational integration platform, Data Fabric Network Connect, which is a GE Grid OS product. It is actually more expensive than FME, but the purpose is different as it's operational. The vendor in this case is GE, and it's a company that we bought that used to be called Greenbird. In current use scenarios, FME is still leading compared to Data Fabric. The GE product has a different application.

Read full review

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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 most valuable feature of FME is the graphical user interface."

"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."

"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."

"It has standard plug-ins available for different data sources."

"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."

"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."

"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."

"FME's features that I have found most valuable are that it has a very friendly user interface, you don't need to use a lot of code, it has a lot of connectors and few forms, and it has a strong facial aspect that can do a lot of facial analysis."

More FME pros

"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."

"Teradata is great as far as scalability once you have the product."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

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

"The most valuable feature is the ease of uploading data from multiple sources."

"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."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time."

More Teradata pros

Cons

"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."

"We are looking at the possibility of using Glue instead of FME, using the native AWS product."

"FME is a great tool, but I don't know if we can scale it up since the prices are high and we would need to convince the decision makers to provide more budget."

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

"FME's price needs improvement for the African market."

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house."

"Improvements could be made to mapping presentations."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

"The current operational approach needs improvement."

"Teradata is a bit late for the cloud."

"An area that needs improvement is the cloud-based version of the solution because it's designed for on-prem and then transferred to the cloud version."

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

"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."

"I would like more security and speed."

"They should add more connectors to different platforms."

More Teradata cons

Pricing and Cost Advice

"FME Server used to cost £10,000; now it can cost over £100,000."

"We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."

"The product's price is reasonable."

"The initial cost may seem high, but the TCO is low."

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

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

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"The cost is significantly high."

"Teradata is currently making improvements in this area."

"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."

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

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

885,311 professionals have used our research since 2012.

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

Government

31%

Energy/Utilities Company

13%

Construction Company

Comms Service Provider

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

What needs improvement with FME?

What is your primary use case for FME?

The use cases for FME are mainly integration to the GE Smallworld product. GE Smallworld is a GE product, and we are using it to integrate with other third-party products into GE Smallworld and ADM...

What advice do you have for others considering FME?

The overall rating for FME is eight out of ten, and I prefer the feedback to be anonymous. My job title is Senior Solutions Architect.

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,...

Azure Data Factory vs FME

Comparisons

Compared 11% of the time

SSIS vs FME

Compared 9% of the time

MuleSoft Anypoint Platform vs FME

Compared 5% of the time

Alteryx Designer vs FME

Compared 5% of the time

Qlik Talend Cloud vs FME

Compared 5% of the time

More FME Competitors

Snowflake vs Teradata

Compared 5% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 4% of the time

Oracle Exadata vs Teradata

Compared 4% of the time

IBM Db2 Database vs Teradata

Compared 3% of the time

More Teradata Competitors

Product Reports

FME

Download FME product report

Download Teradata product report

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

FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

Safe Software

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

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System

Netflix

FME vs. Teradata