No more typing reviews! Try our Samantha, our new voice AI agent.

Dataloader.io vs Teradata comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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

Dataloader.io
Ranking in Data Integration
50th
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Data Integration
21st
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (6th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Dataloader.io is 0.7%, up from 0.3% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Teradata1.2%
Dataloader.io0.7%
Other98.1%
Data Integration
 

Featured Reviews

reviewer2542599 - PeerSpot reviewer
Lead Database Administrator at a insurance company with 201-500 employees
Integrating external keys seamlessly while has transaction constraints
I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM. It provides automation for scheduling data loads, and we use the server's functionality for this. Additionally, DataLoader is cost-effective since it is free. As long as I have stable network access, uploading and downloading data is straightforward.
David Durand Velásquez - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"DataLoader is cost-effective since it is free."
"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."
"he product’s most valuable feature is ease of access."
"Performance-wise, Teradata beats everything."
"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 is the core of our fundamental real-time reporting and operational planning and has saved us over eight figures in the operational run costs, improved data quality and consistency as well as reduced our overall infrastructure support requirements."
"I've never had any issues with scalability."
"Teradata has allowed us to provide an online BI solution that no other player was able to do."
"Teradata's pretty fast."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"Teradata is a great, industry-leading data warehousing product that has MPP architecture."
 

Cons

"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."
"The Query Response time needs improving."
"I choose 8 out of 10 for Teradata because there is always the scope for improvement."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."
"​Their level of technical support is adequate. It could be better.​"
"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."
"GUI of administrative tools is really outdated."
 

Pricing and Cost Advice

"The product is inexpensive and economical."
"Teradata used to be expensive, but they have been lowering their prices."
"The initial cost may seem high, but the TCO is low."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"The price of Teradata could be less expensive."
"The cost of running Teradata is quite high, but you get a good return on investment."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
915,341 professionals have used our research since 2012.
 

Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Construction Company
20%
Comms Service Provider
20%
Manufacturing Company
7%
Insurance Company
7%
Financial Services Firm
16%
Outsourcing Company
10%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

What is your experience regarding pricing and costs for Dataloader.io?
Dataloader.io is cost-effective, particularly since it is free.
What needs improvement with Dataloader.io?
DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.
What advice do you have for others considering Dataloader.io?
For small to mid-range businesses, DataLoader is perfectly fine, offering everything needed for uploading. On a scale of one to ten, I would rate DataLoader a seven or eight depending on specific n...
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,...
 

Comparisons

 

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

 

Sample Customers

UCSF, Box, CareFusion, Unilever, Hershey's
Netflix
Find out what your peers are saying about Dataloader.io vs. Teradata and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.