PlanetScale vs Teradata comparison

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PlanetScale

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Executive SummaryUpdated on Apr 20, 2025

Teradata and PlanetScale offer diverse solutions in the database management industry. Teradata is favored for data analytics, while PlanetScale stands out with its scalability and modern development compatibility.

Features: Teradata offers integrated data warehousing, advanced analytics, and massively parallel processing, catering to comprehensive data management. PlanetScale boasts cloud-native architecture, strong scalability, and flexibility, appealing to dynamic and distributed applications. Its alignment with modern development practices makes it attractive to agile teams.

Room for Improvement: Teradata could refine its compatibility with agile development and enhance cloud cost management. PlanetScale may improve its feature set for advanced data analytics and offer deeper data warehousing capabilities. Strengthening their data security features would also benefit both platforms.

Ease of Deployment and Customer Service: Teradata provides a detailed deployment process and reliable customer service, suitable for established infrastructures. PlanetScale emphasizes a rapid setup model focusing on administration intuitiveness, catering to teams prioritizing speed. Its customer service is praised for efficiency and timeliness.

Pricing and ROI: Teradata involves higher setup costs but offers substantial ROI through its feature-rich enterprise solutions. PlanetScale's pay-as-you-grow model is cost-effective for startups, providing positive ROI by enabling scalable growth. Its pricing is accessible for businesses prioritizing flexibility.

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

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PlanetScale vs. Teradata

June 2025

Helped 859,129 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

PlanetScale

Ranking in Relational Databases Tools

16th

Average Rating

8.2

Reviews Sentiment

8.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

8th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (20th), Data Integration (15th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of June 2025, in the Relational Databases Tools category, the mindshare of PlanetScale is 0.2%, up from 0.0% compared to the previous year. The mindshare of Teradata is 5.4%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Neeraj Sameer Allu

Founder at Tuft

Manages databases in serverless environments and easy to get started with

The main thing I didn't like about PlanetScale was that we couldn't run analytical queries on it. They bill based on the number of rows read, so even a simple count query could easily use up our allocated resources. Apart from that, I actually loved it. It's based on MySQL, so it doesn't have foreign key constraints or cascades. We have to delete manually or use an ORM. As it's based on MySQL, we can use log posters for complex queries, but it only supports MySQL. I feel like Postgres is more useful for custom or complex queries.

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RajeshKumar25

Principal Consultant & Director at Quensulting

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…

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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 branching feature is also good for developer experience."

"I did not face any downtime when using the product."

"The solution is beginner-friendly. Like any new platform, it can be a bit confusing at first. But after spending about an hour with it, you can get a clear idea of what everything is for. It's not very confusing; I think they've improved it recently."

"The database is accessible 24/7, ensuring my project runs smoothly without interruptions."

"I like the solution's developer experience. When you deploy changes to the database in the portal, you can use different deployment strategies and see how things work. You can put changes into different branches, like deployment and staging. This is built into the product, allowing you to navigate changes through different branches."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

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

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"The flexibility in design is very good."

More Teradata pros

Cons

"I used PlanetScale for hobby projects, so my perspective differs from someone using it commercially. Unfortunately, they've removed the free tier in recent months and pivoted to a business-to-business model. This is sad for hobby developers like me because it's a great product, but I understand they have costs to cover."

"The main thing I didn't like about PlanetScale was that we couldn't run analytical queries on it."

"I am not sure, but I think recently, the tool removed the free version."

"We encountered some initial issues during the product deployment, which required me to search for solutions on forums."

"When I tried to integrate the solution with Firebase for authentication, I faced some interruptions. Also, when using it with Next.js and NextAuth.js for Google and social logins, I had some troubles."

"The user interface needs to be improved."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

"GUI of administrative tools is really outdated."

"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."

"Teradata is somewhat late in adopting cloud technology."

"The cloud is the new challenge and the new opportunity."

More Teradata cons

Pricing and Cost Advice

"The solution is expensive for beginners. That's why I wasn't motivated to use it more. But they were already providing many features for free for beginners, which was great."

"Last time, when I wanted to use the tool in a project, I could see it was only paid, so I didn't use the service."

"I am currently using the product's free version, which has been sufficient for my portfolio project."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

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

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

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

"Teradata is not cheap, but you get what you pay for."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

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…

Read full review

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What is your experience regarding pricing and costs for PlanetScale?

I am currently using the product's free version, which has been sufficient for my portfolio project. The paid version ranges from $39 to $1,000, depending on the features and scale required.

What needs improvement with PlanetScale?

I would like PlanetScale to have a feature where the database can be accessed in the cloud with a link, allowing for a more user-friendly interface compared to the terminal. This would make it easi...

What is your primary use case for PlanetScale?

I have used PlanetScale as it is an advanced version of MySQL. It functions as a platform where MySQL is live, similar to AWS. I use PlanetScale to store data in a live environment where queries ca...

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,...

Oracle Exadata vs Teradata

Comparisons

No data available

Compared 13% of the time

SQL Server vs Teradata

Compared 10% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 6% of the time

MySQL vs Teradata

Compared 6% of the time

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Product Reports

Relational Databases Tools

June 2025

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May 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

PlanetScale offers seamless database management with features tailored for modern development environments, enabling enhanced project operations through efficient integration and ease of use.

PlanetScale is designed to support modern developer workflows through features like automated connection pooling and constant availability, making it ideal for serverless applications. Its integration with tools like GitHub and Prisma enhances the developer experience, allowing fast setup and effortless database interactions. However, users note challenges with analytical queries due to row-based billing and the absence of foreign key constraints. Integration with platforms such as Firebase and Next.js presents additional hurdles. Recent changes, such as the removal of the free tier, have impacted adoption by hobby developers, highlighting a need for more accessible pricing plans.

What are the most important features of PlanetScale?

Automated Connection Pooling: Optimizes database connections for serverless environments.
Constant Availability: Ensures uninterrupted operations and workflow efficiency.
Developer-Friendly: Integrates seamlessly with GitHub and Prisma for enhanced project management.
Quick Setup: Simplifies setup processes in corporate environments, allowing immediate use.

What benefits should users consider when evaluating PlanetScale?

Uninterrupted Project Operations: Facilitates constant availability for high-performance applications.
Enhanced Developer Experience: Offers intuitive integrations and project management capabilities.
Ease of Integration: Works well with popular tools like Prisma and MySQL for efficient workflows.

PlanetScale finds significant use in hosting databases for portfolios, company websites, and academic projects. Its compatibility with Prisma facilitates seamless MySQL database management online. Users leverage its capabilities for analytical queries and manage data environments effectively. Teams value the platform for specialized tasks such as URL shortening and social media automation, which are crucial in rapidly evolving digital industries.

PlanetScale

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