Own Data Platform vs Teradata comparison

Read 76 Teradata reviews

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86 Comparison Views

87% willing to recommend

Own Data Platform

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Own Data Platform are competing in the data management and analytics category. Teradata is favored for its strong analytical capabilities, while Own Data Platform stands out for its customization and integration options.

Features: Teradata offers scalable analytics which enable advanced data modeling and analysis. It is also known for robust data warehousing capabilities for large-scale data handling. Teradata provides a range of standardized offerings. Own Data Platform provides an adaptable architecture for seamless integration. Its customizable solutions cater to specific industry needs, offering greater flexibility. It allows unique tailored solutions for diverse applications.

Ease of Deployment and Customer Service: Teradata offers traditional deployment models with comprehensive support services ensuring reliable operation. Own Data Platform provides cloud-based deployment which enhances flexibility and scalability. Teradata has established customer service protocols for user assistance. Own Data Platform offers dedicated support to handle unique customer requirements efficiently.

Pricing and ROI: Teradata has high setup costs but delivers significant ROI through its robust analytical power in large implementations. Own Data Platform offers competitive pricing with flexible models, making it cost-effective especially for smaller organizations. Teradata's larger upfront cost is balanced by long-term insights potential, whereas Own Data Platform's lower initial investment yields quicker returns in various scenarios.

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

Own Data Platform vs. Teradata

June 2025

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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

Own Data Platform

Ranking in Backup and Recovery

35th

Average Rating

9.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database Security (9th), SaaS Backup (11th), Application Testing Services (7th)

Teradata

Ranking in Backup and Recovery

20th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Data Integration (15th), 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 Backup and Recovery category, the mindshare of Own Data Platform is 0.3%, up from 0.3% compared to the previous year. The mindshare of Teradata is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Backup and Recovery

Featured Reviews

Divaker Singh

Salesforce Consultant at Girikon LLCGirikon

Efficient data management with robust restore feature and room for improved anonymization

We manage the customizing and seeding parts for our customers, using Own Data Platform to provide backup and recovery services. We work with exhibition companies that regularly expand their operations Own Data Platform provides a comprehensive backup and recovery solution, allowing us to manage…

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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 most valuable feature for our customers is the restore functionality."

"It is a solid database a lot of different tools to move data."

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

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

"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."

"Auto-partitioning and indexing, and resource allocation on the fly are key features."

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

"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."

"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."

More Teradata pros

Cons

"The anonymization feature can be improved."

"Teradata's UI could be improved."

"I would like to see an improved Knowledge Base on the web."

"The initial setup was complex as we had to rewrite a lot of the code."

"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."

"Limited interest and success in some areas make us hesitate about upgrading."

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

"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."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

More Teradata cons

Pricing and Cost Advice

Information not available

"It comes at a notably high cost for what it offers."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

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

"The solution requires a license."

"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."

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

"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."

"I am using the free version of Teradata."

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

Manufacturing Company

10%

Financial Services Firm

10%

Healthcare Company

10%

Computer Software Company

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 Own Data Platform?

The pricing is somewhat high, rated at an eight out of ten. However, the value provided justifies the cost compared to other tools.

What needs improvement with Own Data Platform?

The anonymization feature can be improved. It’s currently not straightforward and often requires a technical person to operate, which can be challenging for non-technical users.

What is your primary use case for Own Data Platform?

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,...

Salesforce Backup and Restore vs Own Data Platform

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Compared 6% of the time

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Compared 6% of the time

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Product Reports

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Backup and Recovery

June 2025

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May 2025

Also Known As

Own Data Archiving, Own Data Security, Own Data Seeding

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

Overview

OwnBackup offers administrators and developers peace of mind around SaaS data loss and corruption recovery. Our platform provides a comprehensive solution to backup, compare, recover, and manage large, complex SaaS-based data sets. With OwnBackup Sandbox Seeding, Development and QA teams can shorten cycles by configuring and replicating relevant test data sets to sandboxes, on demand, with just a few clicks.

Own

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

Workiva, HR Owen, Tommy Bakama, Kanshoo, NTN, Athena Health, Interlochen Center for the Arts, Arizona State University, Pauley Financial

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