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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

"The initial setup process is easy."
"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"The interface is what I find particularly valuable."
"BigQuery excels at structuring data, performing predictions, and conducting insightful analyses and it leverages machine learning and artificial intelligence capabilities, powered by Google's Duarte AI."
"The product’s most valuable feature is its ability to manage the database on the cloud."
"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 this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"It is a very stable tool...It is an extremely scalable tool."
"Self-patching and runs machine-learning across its logs all the time"
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"A very good integration feature that restricts access to unauthorized people."
"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."
 

Cons

"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"It would be beneficial if BigQuery could be made more affordable."
"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."
"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."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"The processing capability can be an area of improvement."
"With other columnar databases like Snowflake, you can actually increase your VM size or increase your machine size, and you can buy more memory and it will start working faster, but that's not available in BigQuery. You have to actually open a ticket and then follow it up with Google support."
"Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process."
"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."
"The solution lacks visibility options."
"Oracle Autonomous Data Warehouse is not available as an on-premises solution."
"The initial setup was pretty complex. It was not easy."
"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."
"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."
"We are not satisfied with the technical support. Their understanding is lacking."
 

Pricing and Cost Advice

"BigQuery pricing can increase quickly. It's a high-priced solution."
"Its cost structure operates on a pay-as-you-go model."
"BigQuery is inexpensive."
"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."
"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"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 price is a bit high but the technology is worth it."
"You pay as you go, and you don't pay for services that you don't use."
"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."
"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."
"The price depends on the configuration we choose."
"ROI is high."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"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."
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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.
881,733 professionals have used our research since 2012.