BigQuery vs Oracle Autonomous Data Warehouse comparison

Google and Oracle are both solutions in the Cloud Data Warehouse category. Google is ranked #4 with an average rating of 8.3, while Oracle is ranked #10 with an average rating of 8.1. Google holds a 7.0% mindshare in CDW, compared to Oracle’s 4.6% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 94% of Oracle users who would recommend it.

BigQuery

Read 40 BigQuery reviews

3,303 Views
2,698 Comparison Views

100% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

2,145 Views
1,408 Comparison Views

94% willing to recommend

BigQuery

Oracle Autonomous Data Ware...

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Executive SummaryUpdated on Dec 18, 2024

Oracle Autonomous Data Warehouse and BigQuery are competitors in the data warehousing industry. BigQuery seems to have the upper hand due to its extensive analytics capabilities and straightforward usage despite its complex pricing model, while Oracle excels in support and integration capabilities.

Features: Oracle Autonomous Data Warehouse offers automated tuning, easy scalability, and comprehensive data management. Meanwhile, BigQuery stands out with real-time analytics, seamless integration with external tools, and high scalability.

Room for Improvement: Oracle could improve in areas like pricing complexity, integration with non-Oracle environments, and enhancing self-service features for non-technical users. BigQuery might need enhancements in user interface intuitiveness, simplifying complex query management, and offering more in-depth customer support for new users.

Ease of Deployment and Customer Service: Oracle provides a streamlined deployment experience and strong customer support, ensuring quick setup and integration. BigQuery offers a flexible serverless model, beneficial for cloud-native environments, though it may pose challenges for users unfamiliar with Google Cloud.

Pricing and ROI: Oracle has a complex cost setup but promises solid ROI due to its extensive features and support. BigQuery's pricing appears straightforward but gets complex with higher data usage. However, it offers high ROI through its powerful analytics capabilities and scalable cost model, catering to different organizational needs.

To learn more, read our detailed BigQuery vs. Oracle Autonomous Data Warehouse Report (Updated: March 2025).

Buyer's Guide

BigQuery vs. Oracle Autonomous Data Warehouse

March 2025

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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

7.3

Number of Reviews

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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 7.0%, down from 8.0% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.6%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

VikashKumar1

Tech lead at Ford Motor Company

Easy to maintain and provides high availability

Since I used BigQuery over the GCP cloud environment, I'm not sure whether we can go through internal IDEAs like IntelliJ or DBeaver that we use to connect with databases. Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process. Sometimes, we face some issues, bugs, and defects. We must first connect with a VPN to check data issues while working from home. Then, it allows you to connect to the cloud. After logging into the cloud, it searches for the service we are looking for, and then we go to BigQuery. This is a long process. After that, we analyze the issues in a table. Instead, it would be very helpful if it could provide a tool that we can install on our MacBook or Windows system. Once we open this tool, we can connect directly to the BigQuery server and easily perform tasks.

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Miodrag Milojevic

Senior Data Archirect at Yettel

A tool for data warehousing that offers scalability, stability, and ease of setup

The initial setup of Oracle Autonomous Data Warehouse is easy and basic, especially if one doesn't use the tricks to get Oracle Exadata for use. One doesn't need to know or be involved in technical stuff to do the setup since, at the least, knowledge might be required when working with some external connections, but it is easy because everything can be done within a couple of clicks. The solution is deployed on the cloud. For deployment, you don't need any technical guidance since you can sit, find it on the web, and prepare an Oracle Autonomous Data Warehouse platform by yourself for free for a limited time. The people needed for the deployment and maintenance depend on the implementation one wants. If you do a simple implementation, you don't need anybody for maintenance since everything is on the cloud. You only have to schedule your backup or see if Oracle can schedule a backup, and you don't take care of the backup. For some more sophisticated or technical implementations, you will need staff for some data warehouse except for some parts of the maintenance like backup, patches, or upgrades since these are a few things you take care of in the background, and you only seek help with the maintenance part, if needed.

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Quotes from Members

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

Pros

"The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements."

"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."

"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."

"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."

"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."

"It has a well-structured suite of complimentary tools for data integration and so forth."

"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."

"We like the machine learning features and the high-performance database engine."

More BigQuery pros

"The product is easy to use."

"The product has self-repair features."

"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."

"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."

"It is a stable and scalable solution."

"Self-patching and runs machine-learning across its logs all the time"

"The performance and scalability are awesome."

"The analytics have been very good. We've found them to be quite useful."

More Oracle Autonomous Data Warehouse pros

Cons

"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."

"Some of the queries are complex and difficult to understand."

"We would like to be able to calibrate the solution to run on top of a raw file."

"When I execute a query, the dashboard doesn't always present the output seamlessly."

"They could enhance the platform's user accessibility."

"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 primary hurdle in this migration lies in the initial phase of moving substantial volumes of data to cloud-based platforms."

"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."

More BigQuery cons

"The installation process is complex. Oracle can make the installation process better."

"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."

"Optimization should be better."

"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."

"The setup is complex."

"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."

"Ease of connectivity could be improved."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The product’s pricing could be more flexible for end users."

"The solution's pricing is cheaper compared to other solutions."

"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."

"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 solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."

"The pricing is good and there are no additional costs involved."

"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

More BigQuery pricing and cost advice

"The solution is 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."

"You pay as you go, and you don't pay for services that you don't use."

"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 solution's cost is reasonable."

"The price depends on the configuration we choose."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

15%

Manufacturing Company

11%

Retailer

Educational Organization

48%

Financial Services Firm

Computer Software Company

Manufacturing Company

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.

See all answers

What is your experience regarding pricing and costs for BigQuery?

The price is perceived as expensive, rated at eight out of ten in terms of costliness. Still, it offers significant cost savings.

See all answers

What needs improvement with BigQuery?

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. In general, if I know SQL and start playing around, it will star...

See all answers

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...

See all answers

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.

See all answers

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.

See all answers

Comparisons

Snowflake vs BigQuery

Compared 26% of the time

Teradata vs BigQuery

Compared 16% of the time

Vertica vs BigQuery

Compared 15% of the time

Oracle Exadata vs BigQuery

Compared 7% of the time

Apache Hadoop vs BigQuery

Compared 7% of the time

More BigQuery Competitors

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 22% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 21% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Amazon Redshift vs Oracle Autonomous Data Warehouse

Compared 4% of the time

Apache Hadoop vs Oracle Autonomous Data Warehouse

Compared 3% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

BigQuery

March 2025

Download BigQuery product report

Buyer's Guide

Oracle Autonomous Data Warehouse

March 2025

Download Oracle Autonomous Data Warehouse product report

Overview

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Google

Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.

Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

Oracle

Sample Customers

Information Not Available

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank

Buyer's Guide

BigQuery vs. Oracle Autonomous Data Warehouse

March 2025

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