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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
3rd
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
41
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
7.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 7.0%, down from 8.3% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.0%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

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.
Kwajah Mohiuddin - PeerSpot reviewer
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

"The interface is what I find particularly valuable."
"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."
"We like the machine learning features and the high-performance database engine."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"It's straightforward to set up."
"The feature called calibrating the capacity is valuable."
"The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements."
"The setup is simple."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"The analytics have been very good. We've found them to be quite useful."
"The performance and scalability are awesome."
"It is a very stable tool...It is an extremely scalable tool."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"It is a stable and scalable solution."
"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."
 

Cons

"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."
"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."
"When I execute a query, the dashboard doesn't always present the output seamlessly. Troubleshooting requires opening each pipeline individually, which is time-consuming."
"The process of migrating from Datastore to BigQuery should be improved."
"The product’s performance could be much faster."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"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."
"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."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"Ease of connectivity could be improved."
"I would like to see an on-premise solution in the future."
"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."
"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"A lot of the tools that were previously there have now been taken away."
 

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."
"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."
"Its cost structure operates on a pay-as-you-go model."
"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."
"BigQuery pricing can increase quickly. It's a high-priced solution."
"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 platform is inexpensive."
"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."
"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."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"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."
"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."
"You pay as you go, and you don't pay for services that you don't use."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
15%
Manufacturing Company
11%
Retailer
8%
Computer Software Company
11%
Financial Services Firm
8%
University
7%
Manufacturing Company
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...
What do you like most about Oracle Autonomous Data Warehouse?
With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main...
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.
 

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: July 2025.
865,295 professionals have used our research since 2012.