Own Data Platform vs Teradata comparison

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88% willing to recommend

Own Data Platform

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Executive SummaryUpdated on Jan 4, 2026

Teradata and Own Data Platform are competing data management solutions for large-scale enterprise needs. Own Data Platform seems superior due to its advanced features, which users find worth the pricing.

Features: Teradata offers robust data analytics capabilities, scalability options, and is beneficial for handling complex data queries. Own Data Platform provides innovative data integration and processing capabilities, supports diverse data formats effectively, and is rated for more innovative features.

Ease of Deployment and Customer Service: Teradata provides a well-established deployment model backed by comprehensive support. Own Data Platform offers flexible deployment models, including on-premises and cloud-based options, with responsive customer service, making it adaptable to modern needs.

Pricing and ROI: Teradata's setup costs involve substantial initial investments, but it provides good ROI for extensive data needs. Own Data Platform may have higher upfront costs but offers compelling ROI through efficient operations, feature richness, and long-term value.

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

Own Data Platform vs. Teradata

December 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

39th

Average Rating

9.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database Security (6th), SaaS Backup (12th), Application Testing Services (2nd)

Teradata

Ranking in Backup and Recovery

15th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Data Integration (15th), Relational Databases Tools (6th), Data Warehouse (3rd), BI (Business Intelligence) Tools (8th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (3rd)

Mindshare comparison

As of January 2026, in the Backup and Recovery category, the mindshare of Own Data Platform is 0.6%, up from 0.4% compared to the previous year. The mindshare of Teradata is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Backup and Recovery Market Share Distribution
Product	Market Share (%)
Teradata	0.5%
Own Data Platform	0.6%
Other	98.9%

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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David Durand Velásquez

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.

Read full review

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."

"Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time."

"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

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

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"The ease of deployment is useful so clients are up and running quickly in comparison to other products."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

More Teradata pros

Cons

"The anonymization feature can be improved."

"Teradata is a bit late for the cloud."

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

"Needs compatibility with more Big Data platforms."

"Their level of technical support is adequate. It could be better."

"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."

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

"I think the UI is not there yet. It could be improved by being more user-friendly."

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

More Teradata cons

Pricing and Cost Advice

Information not available

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

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"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's licensing is on the expensive side."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

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

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

Financial Services Firm

11%

Manufacturing Company

11%

Healthcare Company

10%

Insurance Company

Financial Services Firm

24%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

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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Product Reports

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Backup and Recovery

January 2026

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January 2026

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, Teradata Vantage Enterprise (DIY)

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 powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

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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