Metabase vs Teradata comparison

Read 76 Teradata reviews

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394 Comparison Views

87% willing to recommend

Metabase

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Metabase are both in the data analytics space. Teradata's strong infrastructure and analytics capabilities make it ideal for complex requirements, whereas Metabase's user-friendliness and affordability provide an advantage for smaller teams.

Features: Teradata offers advanced analytics tools, scalable data warehousing, and robust data management suited for large businesses. Metabase focuses on ease of use, providing an intuitive platform for dashboard creation and insights extraction. Each serves different needs; Teradata is preferred for high-level analytics, while Metabase is better for non-technical users.

Ease of Deployment and Customer Service: Metabase enables quick deployment via its cloud-based or open-source options, attractive for rapid integration. Teradata supports large-scale implementations with extensive customization. Metabase leans on quicker deployment times, whereas Teradata provides comprehensive support for complex setups.

Pricing and ROI: Teradata involves higher setup costs, justifiable through its advanced and scalable features leading to significant long-term ROI. Metabase offers a cost-effective solution, making it suitable for small teams, resulting in quicker ROI, although it might lack some advanced functionalities.

To learn more, read our detailed Metabase vs. Teradata Report (Updated: April 2025).

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Metabase vs. Teradata

April 2025

Helped 847,959 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

Metabase

Ranking in BI (Business Intelligence) Tools

26th

Average Rating

7.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in BI (Business Intelligence) Tools

10th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Metabase is 0.8%, up from 0.1% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

Ibrahim Izz El-Deen

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.

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SurjitChoudhury

Data engineer at Cocos pt

Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities

We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

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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 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."

"Metabase's key advantage is its modern approach to business intelligence."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"It's a pre-configured appliance that requires very little in terms of setting-up."

"The performance is great, we are able to query our data in one operation."

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

More Teradata pros

Cons

"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."

"The tool must be made more user-friendly."

"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 solution could provide more customization."

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

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"Teradata is a bit late for the cloud."

"The SQL Assistant is very basic. This tool can be improved for usability."

"The scalability could be better. The on-premises solution is always more complicated to scale."

"Teradata's UI could be improved."

"The user interface needs to be improved."

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

More Teradata cons

Pricing and Cost Advice

"The product is open-sourced."

"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."

"It's a very expensive product."

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

"Teradata's licensing is on the expensive side."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

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

"The solution requires a license."

"The cost of running Teradata is quite high, but you get a good return on investment."

"Teradata is a very expensive solution."

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…

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Top Industries

By visitors reading reviews

Computer Software Company

28%

Comms Service Provider

18%

Government

Legal Firm

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

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,...

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Compared 7% of the time

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Product Reports

BI (Business Intelligence) Tools

March 2025

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Download Teradata product report

March 2025

Also Known As

No data available

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

Overview

Metabase is a business intelligence tool designed for analyzing data with ease. It's known for its straightforward setup, making data visualization and exploration accessible to teams without coding expertise.

Metabase simplifies the process of deriving insights from data. It allows users to pose questions and instantly view results in the form of tables or charts. Its open-source nature offers flexibility for customization, paired with a clean and intuitive dashboard providing an efficient way to manage and share data insights. Users appreciate its ability to connect with multiple databases, enabling seamless data integration and analysis across platforms.

What are the valuable features?

Ad-hoc Querying: Enables non-technical users to create complex queries visually.
Dashboard Sharing: Facilitates easy sharing of insights through customizable dashboards.
Data Visualization: Supports various chart types for better data interpretation.
Open Source: Offers the flexibility to tailor features to specific business requirements.
Database Connectivity: Connects with numerous data sources to unify data analysis.

What are the benefits and ROI?

Cost Efficiency: Lowers costs by eliminating the need for costly proprietary solutions.
Increased Productivity: Saves time with easy setup and quick data interpretation.
Improved Decision-Making: Access to actionable insights enhances strategic decisions.
Flexibility: Customizable to meet evolving business data analysis needs.

Metabase implementation varies across industries such as tech, e-commerce, and healthcare, allowing firms to leverage analytics for performance optimization. Companies in tech appreciate seamless integration with SQL databases, while e-commerce benefits from sales trend analysis. Healthcare utilizes Metabase for patient data evaluation, aiding in informed healthcare service decisions.

Metabase

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Information Not Available

Netflix