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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
8.6
Organizations saved costs and improved performance with BigQuery, achieving significant returns despite an initial learning period.
Sentiment score
6.6
Oracle Exadata offers up to 300% ROI with significant cost savings and efficiencies, despite a learning curve.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
7.1
Google BigQuery support is generally reliable and agile but lacks direct engagement compared to competitors like Teradata.
Sentiment score
6.6
Oracle Exadata customer service is praised for improvements but faces challenges with response times and support system navigation.
rating the customer support at ten points out of ten
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
 

Scalability Issues

Sentiment score
7.9
BigQuery excels in scalability and performance for large operations but may be costly for smaller businesses.
Sentiment score
7.6
Oracle Exadata provides scalable solutions with efficient resource management, though some users face challenges with cross-generation upgrades.
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
8.5
BigQuery is praised for stability, reliability, and performance but has minor glitches with room for improvement in some areas.
Sentiment score
7.8
Oracle Exadata is highly stable and reliable, with minimal downtime and high-availability features praised by users.
Once installed, Exadata is very stable.
 

Room For Improvement

BigQuery's drawbacks include special character restrictions, high pricing, integration issues, and needed improvements in user interface and support.
Oracle Exadata's high cost, licensing complexity, and technical issues reduce appeal, with users seeking better integration and support.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
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.
 

Setup Cost

BigQuery's pricing is flexible, based on usage, with low storage costs, and customizable to enterprise needs within Google Cloud.
High costs reflect Oracle Exadata's performance benefits; enterprises value integrated components and negotiate discounts for large-scale deployments.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
 

Valuable Features

BigQuery provides scalable, fast, cost-effective data analytics with seamless GCP integration and supports complex queries and various data types.
Oracle Exadata enhances performance and efficiency with features like Smart Scan and Flash Cache, offering high availability and scalability.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
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.
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
40
Ranking in other categories
Cloud Data Warehouse (4th)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
127
Ranking in other categories
Data Warehouse (2nd)
 

Featured Reviews

VikashKumar1 - PeerSpot reviewer
Easy to maintain and provides high availability
Since I used BigQuery over the GCP cloud environment, I'm not sure whether we can go through internal IDEAs like IntelliJ or DBeaver that we use to connect with databases. Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process. Sometimes, we face some issues, bugs, and defects. We must first connect with a VPN to check data issues while working from home. Then, it allows you to connect to the cloud. After logging into the cloud, it searches for the service we are looking for, and then we go to BigQuery. This is a long process. After that, we analyze the issues in a table. Instead, it would be very helpful if it could provide a tool that we can install on our MacBook or Windows system. Once we open this tool, we can connect directly to the BigQuery server and easily perform tasks.
Anand_Kumar - PeerSpot reviewer
A solid data warehouse for transactional data that needs to be priced more competitively
Since the product is an appliance, it is very costly. And in the current age, people are cautious about spending this amount of money on any of these types of backend products. Some use cases are in real-time, where all other databases are much faster, but if you talk about the data warehouse, business intelligence, and all other perspectives in the transactional world, Oracle has to reduce the cost. Otherwise, a customer wouldn't want to continue this. If the same thing can be done at half or one-third of the cost, why would people stay with Oracle? Oracle Exadata would not have great value in front of a CFO. Other solutions can guard your data and address security concerns. Security, volumetrics, and so on are also provided by other databases, which are not that costly. Apart from Exadata, Oracle has other tools for business intelligence and other things, which they add on top of Exadata when they're selling a general license. For example, the Vertica database, an HP data warehouse. They have come up with their own analytic engine within the database, which gives an edge for the client to use the data analytics engine as a part of their database. Exadata does not have an analytic engine. Even MySQL has some statistical tools within it. If Exadata integrates analytical tools, it will be good for them.
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Manufacturing Company
12%
Retailer
7%
Financial Services Firm
31%
Computer Software Company
11%
Manufacturing Company
6%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
The price is perceived as expensive, rated at eight out of ten in terms of costliness. Still, it offers significant cost savings.
What needs improvement with BigQuery?
When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming. In general, if I know SQL and start playing around, it will star...
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 pricing of Exadata is high. It is more expensive than usual, making it suitable only for big enterprises or businesses that can afford it.
What needs improvement with Oracle Exadata?
Also considered an advantage, the main drawback is the inability to cluster two Exadata systems across sites. For example, with one node on one site and another node on a different site, I cannot c...
 

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: January 2025.
838,640 professionals have used our research since 2012.