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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
7.0
Number of Reviews
42
Ranking in other categories
No ranking in other categories
Oracle Autonomous Data Ware...
Ranking in Cloud Data Warehouse
11th
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 February 2026, in the Cloud Data Warehouse category, the mindshare of BigQuery is 7.8%, up from 7.3% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.7%, up from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
BigQuery7.8%
Oracle Autonomous Data Warehouse5.7%
Other86.5%
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.
reviewer1297710 - PeerSpot reviewer
IT Administrator at a manufacturing company with 1,001-5,000 employees
Analytics and data security needs are met but optimization requires improvement
We are using Oracle Autonomous Data Warehouse for analytics in my company The solution is used for analytics and it works for our data security needs. We continue to use it with satisfaction. Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not…

Quotes from Members

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

Pros

"BigQuery has a very nice interface that you can easily learn if you know SQL."
"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."
"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."
"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."
"As a cloud solution, it's easy to set up."
"It's similar to a Hadoop cluster, except it's managed by Google."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"BigQuery's querying capabilities are very optimized for large datasets."
"Self-patching and runs machine-learning across its logs all the time"
"The solution is used for analytics and it works for our data security needs."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"The solution is used for analytics and it works for our data security needs."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"The analytics have been very good. We've found them to be quite useful."
 

Cons

"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."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"The solution should reduce its pricing."
"The initial setup could be improved making it easier to deploy."
"It would be better if BigQuery didn't have huge restrictions. For example, when we migrate from on-premises to on-premise, the data which handles all ebook characters can be handled on-premise. But in BigQuery, we have huge restrictions. If we have some symbols, like a hash or other special characters, it won't accept them. Not in all cases, but it won't accept a few special characters, and when we migrate, we get errors. We need to use Regexp or something similar to replace that with another character. This isn't expected from a high-range technology like BigQuery. It has to adapt all products. For instance, if we have a TV Showroom, the TV symbol will be there in the shop name. Teradata and Apache Spark accept this, but BigQuery won't. This is the primary concern that we had. In the next release, it would be better if the query on the external table also had cache. Right now, we are using a GCS bucket, and in the native table, we have cache. For example, if we query the same table, it won't cost because it will try to fetch the records from the cached result. But when we run queries on the external table a number of times, it won't be cached. That's a major drawback of BigQuery. Only the native table has the cache option, and the external table doesn't. If there is an option to have an external table for cache purposes, it'll be a significant advantage for our organization."
"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in."
"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."
"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."
"We are not satisfied with the technical support. Their understanding is lacking."
"A lot of the tools that were previously there have now been taken away."
"Oracle Autonomous Data Warehouse is not available as an on-premises solution."
"The setup is complex."
"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."
"I would like to see an on-premise solution in the future."
"The initial setup was pretty complex. It was not easy."
"They should make the solution more user-friendly."
 

Pricing and Cost Advice

"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."
"BigQuery is inexpensive."
"BigQuery pricing can increase quickly. It's a high-priced solution."
"Its cost structure operates on a pay-as-you-go model."
"The tool has competitive pricing."
"The product’s pricing could be more flexible for end users."
"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"The platform is inexpensive."
"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
"The solution is expensive."
"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."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"The price depends on the configuration we choose."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
13%
Computer Software Company
12%
Media Company
7%
Manufacturing Company
11%
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 Business12
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?
There are areas that could be improved with BigQuery, such as more bolt-on capabilities and the ability to use more bolt-ons for APIs. Having more of a library of connectors would be really benefic...
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: February 2026.
881,707 professionals have used our research since 2012.