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BigQuery vs Oracle Big Data Appliance 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:
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
41
Ranking in other categories
Cloud Data Warehouse (3rd)
Oracle Big Data Appliance
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Data Warehouse (19th)
 

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.
Mohammed Hamad - PeerSpot reviewer
Provides clean, centralized data
From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

Quotes from Members

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

Pros

"I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data."
"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."
"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"It's similar to a Hadoop cluster, except it's managed by Google."
"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."
"The query tool is scalable and allows for petabytes of data."
"The initial setup process is easy."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"This is a comprehensive solution that is easy to deploy."
 

Cons

"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."
"I noticed recently it's more expensive now."
"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"We'd like to see more local data residency."
"It would be beneficial if BigQuery could be made more affordable."
"There are some limitations in the query latency compared to what it was three years ago."
"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."
"The initial setup could be improved making it easier to deploy."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"The product should be simplified for the average user."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
 

Pricing and Cost Advice

"I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."
"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
"The pricing is good and there are no additional costs involved."
"The price is a bit high but the technology is worth it."
"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."
"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."
"The tool has competitive pricing."
"Oracle's prices are too high compared to others in the market."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
16%
Manufacturing Company
11%
Retailer
8%
Financial Services Firm
29%
Computer Software Company
16%
Government
10%
Real Estate/Law Firm
7%
 

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?
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...
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Overview

 

Sample Customers

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Caixa Bank
Find out what your peers are saying about BigQuery vs. Oracle Big Data Appliance and other solutions. Updated: June 2025.
857,162 professionals have used our research since 2012.