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Metabase vs Teradata comparison

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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

Metabase
Ranking in BI (Business Intelligence) Tools
27th
Average Rating
7.6
Reviews Sentiment
7.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Teradata
Ranking in BI (Business Intelligence) Tools
13th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (21st), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (6th)
 

Mindshare comparison

As of October 2026, in the BI (Business Intelligence) Tools category, the mindshare of Metabase is 0.9%, down from 1.1% compared to the previous year. The mindshare of Teradata is 1.4%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Teradata1.4%
Metabase0.9%
Other97.7%
BI (Business Intelligence) Tools
 

Featured Reviews

Ibrahim Izz El-Deen - PeerSpot reviewer
Data Engineer at USYTech
Modern analytics tool enhances user interactions with neat visualizations for improved decision-making
One area for improvement could be in offering more advanced features even in the open-source edition or making the paid versions more cost-effective. Data scalability, especially if the data grows, requires manual infrastructure management, which could be improved. Increased customization and visualization options in the open-source edition would be beneficial. Additionally, it might be helpful if more complex queries and stored procedures were supported.
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

"Metabase's key advantage is its modern approach to business intelligence."
"The most valuable feature of the solution is its interface, which is used to query data into Metabase. I think it is very useful and handy for a novice."
"It is easy for a new user to learn the tool."
"I rate the solution’s stability a nine out of ten."
"The product is reliable."
"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."
"We were able to migrate the code from SAS analytical platforms to pure Teradata and got an order of magnitude of performance growth (taking into account that the hardware was similar)."
"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
"IntelliFlex is the Rolls Royce of data warehousing."
"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."
"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."
 

Cons

"The solution could provide more customization."
"One area for improvement could be in offering more advanced features even in the open-source edition or making the paid versions more cost-effective."
"I think there is a need to add a few more advanced visuals in the tool. There are a standard set of visuals in the tool which are available."
"The tool must be made more user-friendly."
"We are using an older version at the moment."
"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."
"My experience with pricing, setup cost, and licensing indicates that while it was not part of my work, I found Teradata to be somewhat costlier when considering other options."
"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."
"The SQL Assistant is very basic. This tool can be improved for usability."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
 

Pricing and Cost Advice

"I would not say it is a cheap tool, but it's viable."
"Using the open-source edition of Metabase on AWS EC2 cost us around $29 per month for the EC2 instance, which was affordable."
"The product is open-sourced."
"The cost of running Teradata is quite high, but you get a good return on investment."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"Teradata used to be expensive, but they have been lowering their prices."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"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."
"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 this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
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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
Comms Service Provider
15%
Financial Services Firm
12%
Computer Software Company
11%
Outsourcing Company
9%
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 Metabase?
Using the open-source edition of Metabase on AWS EC2 cost us around $29 per month for the EC2 instance, which was affordable.
What needs improvement with Metabase?
One area for improvement could be in offering more advanced features even in the open-source edition or making the paid versions more cost-effective. Data scalability, especially if the data grows,...
What is your primary use case for Metabase?
I used Metabase for business intelligence and analytics in my organization. We connected Metabase to AWS Athena, allowing us to query and visualize data stored in S3 buckets.
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

Information Not Available
Netflix
Find out what your peers are saying about Metabase vs. Teradata and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.