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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
10th
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 July 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 6.5%, down from 8.4% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.0%, up from 4.2% 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

"As a cloud solution, it's easy to set up."
"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."
"The product's most valuable features include its scalability and the ability to handle complex queries on large datasets."
"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."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"The solution is used for analytics and it works for our data security needs."
"The product has self-repair features."
"The product is easy to use."
"The solution integrates well with Power BI."
"Self-patching and runs machine-learning across its logs all the time"
"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."
 

Cons

"The product could benefit from improvements in user-friendliness, particularly in terms of the user interface."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"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."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"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."
"They could enhance the platform's user accessibility."
"We'd like to see more local data residency."
"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 solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"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."
"Ease of connectivity could be improved."
"The installation process is complex. Oracle can make the installation process better."
"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."
"Oracle Autonomous Data Warehouse is not available as an on-premises solution."
"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."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
 

Pricing and Cost Advice

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"The solution's pricing is cheaper compared to other solutions."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"The price is a bit high but the technology is worth it."
"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."
"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 pricing can increase quickly. It's a high-priced solution."
"The solution's cost is reasonable."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"You pay as you go, and you don't pay for services that you don't use."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"The cost is perfect with Oracle Universal credit."
"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."
"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."
"The price depends on the configuration we choose."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
16%
Manufacturing Company
11%
Retailer
8%
Educational Organization
18%
Financial Services Firm
12%
Computer Software Company
9%
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: June 2025.
860,711 professionals have used our research since 2012.