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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 January 2026, in the Cloud Data Warehouse category, the mindshare of BigQuery is 7.7%, up from 7.5% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 5.8%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
BigQuery7.7%
Oracle Autonomous Data Warehouse5.8%
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

"The integrated data storage features are good."
"The initial setup is straightforward."
"The product’s most valuable feature is its ability to manage the database on the cloud."
"It's straightforward to set up."
"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."
"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."
"Even non-coders can review the data in BigQuery."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"A very good integration feature that restricts access to unauthorized people."
"The analytics have been very good. We've found them to be quite useful."
"The solution is used for analytics and it works for our data security needs."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"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 reason we use it."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
 

Cons

"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."
"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."
"They could enhance the platform's user accessibility."
"The primary hurdle in this migration lies in the initial phase of moving substantial volumes of data to cloud-based platforms."
"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."
"Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process."
"I noticed recently it's more expensive now."
"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."
"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."
"The installation process is complex. Oracle can make the installation process better."
"They should make the solution more user-friendly."
"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."
"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."
"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."
 

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."
"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."
"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."
"Its cost structure operates on a pay-as-you-go model."
"BigQuery is inexpensive."
"The pricing is good and there are no additional costs involved."
"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."
"The solution's cost is reasonable."
"The solution is expensive."
"The price depends on the configuration we choose."
"The cost is perfect with Oracle Universal credit."
"ROI is high."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
13%
Retailer
7%
Manufacturing Company
10%
Computer Software Company
8%
Media 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: December 2025.
881,082 professionals have used our research since 2012.