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Apache Hadoop vs Oracle Exadata vs Teradata comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.4
Apache Hadoop offers cost-effective storage and processing, benefiting some with analytics and optimizing data applications for resource savings.
Sentiment score
6.0
Oracle Exadata offers significant ROI in 12-18 months, with cost savings, performance gains, but challenges in ROI calculation.
Sentiment score
6.9
Teradata significantly boosts speed, efficiency, and ROI, with studies showing a 427% average ROI over three years.
The investment is good, which is why people choose this hardware.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Senior product analyst at a financial services firm with 10,001+ employees
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
Engineers at a consultancy with 11-50 employees
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
Interim and Fractional CIO and CTO at a consultancy with 11-50 employees
 

Customer Service

Sentiment score
6.1
Customer service for Apache Hadoop varies, with differing satisfaction levels and reliance on external resources and forums for support.
Sentiment score
6.6
Oracle Exadata support is generally positive, but response consistency varies, with mixed reactions to Platinum services.
Sentiment score
7.1
Teradata's support is praised for professionalism and responsiveness, but feedback on speed is mixed; training resources enhance service.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
Financial Advisor at a financial services firm with 10,001+ employees
If I were to rate their support from one to ten, I would say between nine to ten.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
CISO at a tech services company with 11-50 employees
The customer support for Teradata has been great.
Interim and Fractional CIO and CTO at a consultancy with 11-50 employees
They are responsive and knowledgeable, and the documentation is very helpful.
Engineers at a consultancy with 11-50 employees
Customer support is very good, rated eight out of ten under our essential agreement.
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
7.4
Apache Hadoop is valued for its scalability, supporting large data and users effectively, especially in cloud environments.
Sentiment score
7.5
Oracle Exadata provides highly rated scalability, enabling easy expansion and efficient resource addition for varying organizational demands.
Sentiment score
7.5
Teradata offers scalable cloud and on-premise solutions with strong adaptability, overcoming hardware limitations and cost challenges efficiently.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
Financial Advisor at a financial services firm with 10,001+ employees
Within a site, scalability is excellent.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
Senior product analyst at a financial services firm with 10,001+ employees
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
Engineers at a consultancy with 11-50 employees
This expansion can occur without incurring downtime or taking systems offline.
Principal Consultant & Director at Quensulting
 

Stability Issues

Sentiment score
7.1
Apache Hadoop is stable and reliable in multi-node clusters, performing well with minimal instability during high-load operations.
Sentiment score
7.8
Oracle Exadata is stable and reliable, with improved updates, despite occasional bugs and initial firmware issues.
Sentiment score
8.3
Teradata's robust architecture ensures exceptional stability and reliability, with minimal downtime and high user ratings despite some integration challenges.
Continuous management in the way of upgrades and technical management is necessary to ensure that it remains effective.
Financial Advisor at a financial services firm with 10,001+ employees
Once installed, Exadata is very stable.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
Engineers at a consultancy with 11-50 employees
I find the stability to be almost a ten out of ten.
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees
The workload management and software maturity provide a reliable system.
Principal Consultant & Director at Quensulting
 

Room For Improvement

Apache Hadoop needs user-friendly enhancements, better integration, improved security, streamlined setup, and modernized features and support.
Oracle Exadata users face high costs and complexity, seeking better performance, support, and integration with cloud technologies.
Teradata requires improvements in transaction processing, scalability, UI, cost-effectiveness, analytics features, integration capabilities, and security measures.
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it.
Financial Advisor at a financial services firm with 10,001+ employees
I cannot create an extended rack cluster with one node on one site and another node on a different site.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
Senior Oracle DBA at a financial services firm with 11-50 employees
I believe that there is still room for improvement in Oracle Exadata, as they are putting AI features on those databases, which is making the database more user-friendly.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Data Engineer at Tredence Inc.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
Interim and Fractional CIO and CTO at a consultancy with 11-50 employees
 

Setup Cost

Enterprise Apache Hadoop pricing varies greatly, influenced by distribution choice, deployment type, and specific usage requirements.
Oracle Exadata offers high performance but is costly, suitable for large enterprises with potential cost-saving strategies available.
Teradata offers high-value analytics with flexible pricing, excelling in performance and ROI, ideal for large enterprises and data-intensive sectors.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
Senior Oracle DBA at a financial services firm with 11-50 employees
I find its pricing reasonable and cost-effective for large organizations, but for smaller organizations, it may not be that useful.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Principal Consultant & Director at Quensulting
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
Engineers at a consultancy with 11-50 employees
 

Valuable Features

Apache Hadoop offers scalable, cost-effective data processing, supporting diverse environments with fault tolerance, integration, and analytics tools like Hive.
Oracle Exadata offers fast response, high performance, scalability, and efficient data warehousing through advanced features and seamless hardware-software integration.
Teradata excels in parallel processing, scalability, and performance, offering robust data management, security, and integration for efficient data warehousing.
If you don't do the upgrades, the platform ages out, and that's what happened to the Hadoop content.
Financial Advisor at a financial services firm with 10,001+ employees
I assess Apache Hadoop's fault tolerance during hardware failures positively since we have hardware failover, which works without problems.
Principle Network and Database Engr at Parsons Corporation
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
The most valuable features of Oracle Exadata are its high availability and cluster environment.
Senior Oracle DBA at a financial services firm with 11-50 employees
If a customer cannot tune their applications, this will help them to run the database and run the application without any tuning itself.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Interim and Fractional CIO and CTO at a consultancy with 11-50 employees
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
Engineers at a consultancy with 11-50 employees
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
Senior Data Engineer at a media company with 1,001-5,000 employees
 

Mindshare comparison

As of April 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.7%, down from 4.3% compared to the previous year. The mindshare of Oracle Exadata is 8.1%, down from 16.7% compared to the previous year. The mindshare of Teradata is 9.0%, down from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Oracle Exadata8.1%
Teradata9.0%
Apache Hadoop3.7%
Other79.2%
Data Warehouse
 

Featured Reviews

NR
Financial Advisor at a financial services firm with 10,001+ employees
Reliable performance maintained but requires ongoing management and support
Hadoop was used for years, but there were problems since the people who originally set it up left the firm. The group that owned it later didn't have the technical resources to properly maintain it. Although there was nothing wrong with Hadoop itself, issues arose without proper management and upgrades.
Prabir Kumar Kundu - PeerSpot reviewer
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
Has consistently delivered high performance and aligned security while evolving with AI-driven improvements
When discussing Oracle Exadata, the main thing is the specialized database appliance, the flash cache, and the engineered machine on the database for the database itself. Overall, all the features are useful and meaningful for any database like Oracle to run the Oracle database. Regarding Smart Scan technology, it is for better performance. If a customer cannot tune their applications, this will help them to run the database and run the application without any tuning itself. Oracle Exadata's advanced compression techniques have affected my customer's data storage efficiency positively, with the feature being great, but as of now, our customer is not using that. I find its security measures align with my customer's organization, as security is aligned as per the customer's requirement. It has helped optimize performance and cost.
David Durand Velásquez - PeerSpot reviewer
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.
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
5%
Government
5%
University
5%
Financial Services Firm
24%
Computer Software Company
6%
Government
6%
Manufacturing Company
6%
Financial Services Firm
19%
Manufacturing Company
8%
Computer Software Company
6%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise8
Large Enterprise21
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise14
Large Enterprise86
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise52
 

Questions from the Community

What do you like most about Apache Hadoop?
It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can ...
What is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be fr...
What needs improvement with Apache Hadoop?
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later ...
What is your experience regarding pricing and costs for Oracle Exadata?
I find its pricing reasonable and cost-effective for large organizations, but for smaller organizations, it may not b...
What needs improvement with Oracle Exadata?
I believe that there is still room for improvement in Oracle Exadata, as they are putting AI features on those databa...
What is your primary use case for Oracle Exadata?
I deal most with Oracle database. I have been working with Oracle Database Appliance for more than 25 years, and if y...
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 d...
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 ...
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 ...
 

Also Known As

No data available
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

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Netflix
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2026.
885,728 professionals have used our research since 2012.