BigQuery vs Oracle Big Data Appliance comparison

Google and Oracle are both solutions in the Cloud Data Warehouse category. Additionally, 100% of Google users are willing to recommend the solution, compared to 71% of Oracle users who would recommend it.

BigQuery

Read 40 BigQuery reviews

3,303 Views
2,698 Comparison Views

100% willing to recommend

Oracle Big Data Appliance

Read 5 Oracle Big Data Appliance reviews

381 Views
251 Comparison Views

71% willing to recommend

BigQuery

Oracle Big Data Appliance

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Executive Summary

We performed a comparison between BigQuery and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed BigQuery vs. Oracle Big Data Appliance Report (Updated: April 2025).

Buyer's Guide

BigQuery vs. Oracle Big Data Appliance

April 2025

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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

7.3

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (4th)

Oracle Big Data Appliance

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Data Warehouse (19th)

Featured Reviews

VikashKumar1

Tech lead at Ford Motor Company

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.

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Mohammed Hamad

AI & Data Engineering Lead at a tech services company with 10,001+ employees

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.

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Quotes from Members

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

Pros

"It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."

"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."

"The product's most valuable features include its scalability and the ability to handle complex queries on large datasets."

"Even non-coders can review the data in BigQuery."

"It has a well-structured suite of complimentary tools for data integration and so forth."

"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."

"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."

"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."

More BigQuery pros

"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."

"This is a comprehensive solution that is easy to deploy."

"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

Cons

"BigQuery should integrate with other tools, such as Cloud Logging and Local Studio, to enhance its capabilities further and enable powerful and innovative analyses."

"There are many tools that you have to use with BigQuery that are different services also provided for by Google. They need to all be integrated into BigQuery to make the solution easier to use."

"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."

"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."

"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."

"I noticed recently it's more expensive now."

"The process of migrating from Datastore to BigQuery should be improved."

"They could enhance the platform's user accessibility."

More BigQuery cons

"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

"The product should be simplified for the average user."

"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."

Pricing and Cost Advice

"BigQuery pricing can increase quickly. It's a high-priced solution."

"Its cost structure operates on a pay-as-you-go model."

"One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."

"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."

"BigQuery is inexpensive."

"The product’s pricing could be more flexible for end users."

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."

"The platform is inexpensive."

More BigQuery pricing and cost advice

"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

17%

Financial Services Firm

15%

Manufacturing Company

11%

Retailer

Financial Services Firm

32%

Computer Software Company

15%

Government

11%

University

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.

See all answers

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.

See all answers

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...

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Comparisons

Snowflake vs BigQuery

Compared 21% of the time

Oracle Autonomous Data Warehouse vs BigQuery

Compared 17% of the time

Teradata vs BigQuery

Compared 16% of the time

Vertica vs BigQuery

Compared 14% of the time

Apache Hadoop vs BigQuery

Compared 8% of the time

More BigQuery Competitors

Oracle Exadata vs Oracle Big Data Appliance

Compared 75% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 25% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

BigQuery

April 2025

Download BigQuery product report

Buyer's Guide

Data Warehouse

April 2025

Download Oracle Big Data Appliance product report

Overview

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Google

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

Oracle

Sample Customers

Information Not Available

Caixa Bank

Buyer's Guide

BigQuery vs. Oracle Big Data Appliance

April 2025

Free Report: BigQuery vs. Oracle Big Data Appliance

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