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Talend Open Studio vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

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 Open Studio
Ranking in Data Integration
5th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
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
76
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 Talend Open Studio is 4.7%, down from 5.1% 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

Costin Marzea - PeerSpot reviewer
Allows you to develop your own components and can be used as an OEM
Sometimes, scalability is part of planning. It depends on what you mean by scalability. People talk a lot about it, but scalability is not always about system functionality. Sometimes, it may be planning the job you're doing. If you want to split it into several jobs or servers, you don't actually have to have it built in as a functionality. You can create a job using a loop, which runs and controls several jobs in a loop that may be controlled. Scaling should not always be part of the infrastructure based on whether the engine can scale or not. I think it's your plan or project that should scale and split, and you can define these parameters. These parameters include how many servers you want to run or how many executions you want to do on different parts of the data. It's not always an issue of the engine running. Sometimes, your database should be configured to support partitioning. The product may scale very well without partitioning, but if the basic response is very slow, you didn't solve the problem. You should solve the problems at a higher level, not just at the execution level. They should be solved at the database level and communication level, and you should have firewalls. We are trying to add to the open source the ability to generate code for containers and Kubernetes that exist in the subscription version. Once you do this, Kubernetes will take care of the scaling, so there is no problem.
RajeshKumar25 - PeerSpot reviewer
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…

Quotes from Members

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

Pros

"You can use Talend SDK to develop your own components and add them to the product."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"The initial setup of the product was very easy."
"There are many architectures: hybrid, cloud, and on-prem."
"Talend Open Studio is easy to create jobs. We use the basic functionality and it is very good."
"Talend is significantly easier to use."
"The standout feature for me is the user-friendly nature of the components."
"It has got so many connectors. It is intuitive and easy to use."
"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."
"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."
"Cuts time to process huge amounts of data with efficient analytical queries."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"It's stable and reliable."
"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."
 

Cons

"Talent consumes a lot of resources on my PC."
"The solution should offer better integration with other products."
"The pricing could be lower. They should work to make it more affordable."
"It gets the job done but it's a bit slow."
"Having additional training materials, such as a video tutorial, would be an improvement."
"The stability of the solution could improve when running jobs. There can be errors when running projects but in the end, it works well and the errors do not impact the result."
"In terms of features, it has all the features that I need. However, it consumes a lot of resources. It is using a lot of RAM, and they need to fix the issue related to resource consumption. It currently requires more than 24 gigabytes of RAM, which is a big amount of RAM."
"The solution should integrate with a version control system in the subscription versions to make it easy to work with and manage the version control."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"The current operational approach needs improvement."
"I would like more security and speed."
"The setup is not straightforward."
"Limited interest and success in some areas make us hesitate about upgrading."
"Needs compatibility with more Big Data platforms."
"Teradata has a few AI models, but in data science, we need more flexibility."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
 

Pricing and Cost Advice

"The cost, particularly in Africa, is quite high."
"For Talend Open Studio, there is a need to make yearly payments towards the licensing cost. Talend Open Studio is a bit expensive, in my opinion."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
"Right now, because we're using the open-source version, there's no cost."
"Talend Open Studio costs about 11,000 a year."
"It is an open-source tool which means it is a free solution."
"It is an open-source product."
"Pricing and licensing are fairly straightforward. It is reasonably priced and managed."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"The cost of running Teradata is quite high, but you get a good return on investment."
"I am using the free version of Teradata."
"The cost is significantly high."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"It comes at a notably high cost for what it offers."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"Teradata is a very expensive solution."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Talend Open Studio compare with AWS Glue?
We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...
What do you like most about Talend Open Studio?
It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The...
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,...
 

Also Known As

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

Overview

 

Sample Customers

Almerys, BF&M, Findus
Netflix
Find out what your peers are saying about Talend Open Studio vs. Teradata and other solutions. Updated: June 2025.
858,649 professionals have used our research since 2012.