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BigQuery vs Oracle Exadata 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
5.8
BigQuery provides 27% better query performance and 17% cost reduction, offering seamless integration and efficient data management with training.
Sentiment score
6.3
Oracle Exadata offers early break-even, reduced costs, increased performance, and significant savings despite complex licensing challenges.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
7.2
Google's support is rated 8/10 for responsiveness, but challenges exist in accessibility, integration, and documentation resources.
Sentiment score
6.5
Oracle Exadata support praised for expertise, but critiques focus on delays and process efficiency improvement needs.
I have been self-taught and I have been able to handle all my problems alone.
rating the customer support at ten points out of ten
I would rate their customer service pretty good on a scale of one to 10, as they gave me access to the platform on a grant.
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
 

Scalability Issues

Sentiment score
7.8
BigQuery excels in scalability and resource management, supporting large data with seamless auto-scaling despite some processing limitations.
Sentiment score
7.5
Oracle Exadata offers efficient scalability with flexible configurations, easy expansion, and high costs; ensure compatible hardware generations.
It is a 10 out of 10 in terms of scalability.
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
Within a site, scalability is excellent.
 

Stability Issues

Sentiment score
8.3
BigQuery is a stable, efficient cloud analytics tool, with minor scalability challenges and reliable Google support for large-scale data handling.
Sentiment score
7.8
Oracle Exadata is praised for reliability and stability, with improved models offering redundancy and high availability, minimizing downtime.
Once installed, Exadata is very stable.
 

Room For Improvement

BigQuery struggles with special character restrictions, high costs, complex optimization, and lacks user-friendly integration and performance flexibility.
Oracle Exadata needs cost management, simplified patching, improved support, better customization, enhanced security, and third-party integration.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
In general, if I know SQL and start playing around, it will start making sense.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
 

Setup Cost

BigQuery provides flexible pricing with pay-as-you-go models, $300 credits, and competitive costs requiring mindful usage to control expenses.
Oracle Exadata's high costs are justified by its performance and reliability, offering value through reduced operational expenses.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
 

Valuable Features

BigQuery excels in scalability, speed, and usability with serverless architecture, SQL support, and cost-effective data processing capabilities.
Oracle Exadata enhances performance, handles large databases efficiently, and simplifies management with advanced features and intelligent storage capabilities.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
42
Ranking in other categories
Cloud Data Warehouse (3rd)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
129
Ranking in other categories
Data Warehouse (2nd)
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
Arun Kumarasamy - PeerSpot reviewer
A highly scalable solution that has the best technology and is designed for huge database workloads
It's an entire hardware box where the software and the hardware combination can fasten our queries for the database. The tool has an intelligent cell server where the data is processed at the storage layer rather than the server layer. The tool supports our big data analytics and data warehousing needs. It is the best solution for OLTP and data warehousing. Oracle has the best database technology in the world. Exadata is the best hardware machine designed for huge database workloads along with OLTP.
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
11%
Retailer
7%
Financial Services Firm
31%
Computer Software Company
10%
Government
6%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise9
Large Enterprise20
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise13
Large Enterprise86
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...
What do you like most about Oracle Exadata?
It is the best solution for OLTP and data warehousing.
What is your experience regarding pricing and costs for Oracle Exadata?
The cost of Oracle Exadata is substantial, particularly in terms of maintenance costs and licensing. This pricing strategy has led to strained relationships with IT companies including HP and Cisco...
What needs improvement with Oracle Exadata?
Patching Oracle Exadata can be challenging due to its numerous components including network, blade, CPU, storage, and VMs. The system's complexity extends beyond simple maintenance tasks. The perfo...
 

Overview

 

Sample Customers

Information Not Available
PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Find out what your peers are saying about BigQuery vs. Oracle Exadata and other solutions. Updated: September 2025.
872,098 professionals have used our research since 2012.