Oracle Java DB vs Teradata comparison

Read 83 Teradata reviews

10,773 Views
2,586 Comparison Views

88% willing to recommend

Oracle Java DB

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 4, 2026

Teradata and Oracle Java DB are competitors in the database solutions domain, with Teradata offering an advanced suite for large-scale data analytics and Oracle Java DB excelling in streamlined integration for Java applications. Teradata's robust data management features give it an advantage in handling complex analytical tasks.

Features: Teradata provides scalability, complex data processing capabilities, and robust data management features. It is ideal for large enterprises needing powerful data insights. Oracle Java DB offers seamless integration with Java applications, easy-to-use interfaces, and lightweight architecture, making it suitable for environments prioritizing simplicity.

Room for Improvement: Teradata could benefit from reduced upfront costs and simplified deployment processes. Enhancing user-friendly features and minimizing the need for expert involvement could improve its accessibility. Oracle Java DB can enhance its analytical capabilities, expand support options, and improve performance for extensive data processing.

Ease of Deployment and Customer Service: Teradata has intricate deployment but compensates with comprehensive support options, whereas Oracle Java DB offers simpler deployment and quicker setup, though its support services are less comprehensive.

Pricing and ROI: Teradata typically incurs higher initial costs but offers significant ROI for data analytics-intensive businesses. Oracle Java DB is cost-effective with lower setup expenses, providing good ROI for budget-conscious projects prioritizing Java application integration.

To learn more, read our detailed Oracle Java DB vs. Teradata Report (Updated: December 2025).

Oracle Java DB vs. Teradata

December 2025

Download the complete report

Helped 881,114 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

Oracle Java DB

Ranking in Relational Databases Tools

21st

Average Rating

8.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

6th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (15th), Data Integration (15th), 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 Relational Databases Tools category, the mindshare of Oracle Java DB is 1.2%, up from 0.7% compared to the previous year. The mindshare of Teradata is 4.0%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Teradata	4.0%
Oracle Java DB	1.2%
Other	94.8%

Relational Databases Tools

Featured Reviews

Anil-Sinha

Senior Consultant at a tech vendor with 10,001+ employees

Able to process all the reporting and processing in the database itself

We have been upgrading and moving to new environments. I was involved in the solution's initial setup. Some things in the setup are very smooth sailing. However, some setups become complicated because what they set up doesn't meet your needs. So, some tweaking is necessary in certain instances. Having a good understanding of the tool really helps. Oracle Java DB is easy to deploy if it's a new setup. Migrating from an old environment to a new environment takes time because you need the old functionality. A first-time deployment of the application is easy. We just did a default setup and started using it. When we have to migrate, there is too much baggage behind that application, especially from the security point of view.

Read full review

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 solution is stable."

"The valuable features include connecting to the database and retrieving data."

"The additional value of having Java inside the Oracle database is all the security that is applied to an Oracle database will be enforced on Java's stored procedures as well."

"Able to write queries more efficiently and the management of data has become better and easier."

"The most valuable feature is automation."

"There have been no issues in relation to stability. We've never really had do to any recoveries. It is very stable."

"It's very clever."

"The database is quite robust in terms of performance from the SQL side."

More Oracle Java DB pros

"I like writing preformance queries for preprocessing on AWS Cloud."

"Cuts time to process huge amounts of data with efficient analytical queries."

"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

"We really enjoy the FastLoad, TPump, and MultiLoad features."

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"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."

"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."

"It's stable and reliable."

More Teradata pros

Cons

"The biggest lesson that I have learned from using Oracle products is vendor lock-in."

"In terms of improvement, I'd like an automation tool that is lower priced. The core prices are very high."

"The solution should continue to keep updating and improving the Java language."

"The tool might be integrated, but we see performance issues because of overhead."

"Needs improvement in consistency issues with respect to timeframes."

"The solution could be more user-friendly."

"Oracle can improve by providing more connection string variations and relay servers on the path to the database."

"It'll be better if Oracle Java supports open source technologies, like Node.js."

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

"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."

"GUI of administrative tools is really outdated."

"The increasing volumes of data demand more and more performance."

"Teradata is a bit late for the cloud."

"There are some ways that the handling of unstructured data could be improved."

"When backups are performed, it locks the database, preventing user access, which is a concern."

"It could use some more advanced analytics relating to structured and semi-structured data."

More Teradata cons

Pricing and Cost Advice

"Oracle Java DB is a pricey solution."

"The product's pricing is very friendly, with no extra costs after the licensing fees."

"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."

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

"Teradata is currently making improvements in this area."

"The price of Teradata could be less expensive."

"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."

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

"It's a very expensive product."

"Teradata used to be expensive, but they have been lowering their prices."

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.

See recommendations

881,114 professionals have used our research since 2012.

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

24%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	6

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

Questions from the Community

What needs improvement with Oracle Java DB?

Oracle can improve by providing more connection string variations and relay servers on the path to the database. Various ways of connecting would enhance functionality.

What is your primary use case for Oracle Java DB?

I have experience connecting to a database with Java by using Java code and interrogating the database.

What advice do you have for others considering Oracle Java DB?

It's important to consider several settings and connection strings, as well as firewall rules when connecting to the database. I would rate the overall solution nine out of ten.

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 Database vs Oracle Java DB

Comparisons

MySQL vs Oracle Java DB

Compared 27% of the time

Compared 18% of the time

Apache Derby vs Oracle Java DB

Compared 11% of the time

IBM Db2 Database vs Oracle Java DB

Compared 10% of the time

IBM solidDB vs Oracle Java DB

Compared 9% of the time

More Oracle Java DB Competitors

Oracle Exadata vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 5% of the time

IBM Db2 Database vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Relational Databases Tools

January 2026

Download Oracle Java DB product report

Download Teradata product report

January 2026

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

Java DB is a relational database management system (RDBMS). Data is stored and queried via SQL or JDBC. Like other RDBMSs, Java DB can also be accessed through a persistence layer such as JPA, Hibernate, or JDO. Java objects can be stored in the columns of Java DB tables.

Oracle

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

Université Nice Sophia Antipolis

Netflix