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BigQuery vs Oracle Autonomous Data Warehouse comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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
Ranking in Cloud Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
43
Ranking in other categories
No ranking in other categories
Oracle Autonomous Data Ware...
Ranking in Cloud Data Warehouse
12th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of BigQuery is 8.0%, up from 7.3% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.7%, up from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
BigQuery8.0%
Oracle Autonomous Data Warehouse5.7%
Other86.3%
Cloud Data Warehouse
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
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.
Kwajah Mohiuddin - PeerSpot reviewer
Global Head of Architecture at a financial services firm with 1,001-5,000 employees
Provides self-repair features, but the setup is complex
We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

Quotes from Members

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

Pros

"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"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."
"The integrated data storage features are good."
"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."
"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."
"BigQuery has a very nice interface that you can easily learn if you know SQL."
"The initial setup is simple."
"The solution integrates well with Power BI."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The solution is used for analytics and it works for our data security needs."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"The performance and scalability are awesome."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The product has self-repair features."
 

Cons

"Some of the queries are complex and difficult to understand."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"When I execute a query, the dashboard doesn't always present the output seamlessly."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"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."
"The processing capability can be an area of improvement."
"The price could be better. Compared to competing solutions, BigQuery is expensive. It's only suitable for enterprise customers, not small and medium-sized businesses, as they cannot afford this kind of solution. In the next release, it would be better if they improved their AI bot. Although machine learning and artificial intelligence are doing wonders, there is still a lot of room to enhance them."
"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."
"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."
"We are not satisfied with the technical support. Their understanding is lacking."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"Ease of connectivity could be improved."
"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."
 

Pricing and Cost Advice

"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"The pricing is good and there are no additional costs involved."
"Its cost structure operates on a pay-as-you-go model."
"The platform is inexpensive."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"The product’s pricing could be more flexible for end users."
"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 solution is expensive."
"The solution's cost is reasonable."
"The cost is perfect with Oracle Universal credit."
"ROI is high."
"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."
"You pay as you go, and you don't pay for services that you don't use."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"The price depends on the configuration we choose."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
14%
Computer Software Company
10%
Media Company
7%
Manufacturing Company
10%
Media Company
8%
Computer Software Company
8%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise9
Large Enterprise20
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise11
 

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?
With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency. I cannot have e...
What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
What is your primary use case for Oracle Autonomous Data Warehouse?
We are using Oracle Autonomous Data Warehouse for analytics in my company.
 

Overview

 

Sample Customers

Information Not Available
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Find out what your peers are saying about BigQuery vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.