BigQuery vs Oracle Autonomous Data Warehouse comparison

Google and Oracle are both solutions in the Cloud Data Warehouse category. Google is ranked #3 with an average rating of 8.5, while Oracle is ranked #14 with an average rating of 7.7. Google holds a 7.3% mindshare in CDW, compared to Oracle’s 4.7% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 95% of Oracle users who would recommend it.

BigQuery

Read 43 BigQuery reviews

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3,437 Comparison Views

100% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

2,864 Views
2,119 Comparison Views

95% 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: June 2026).

Buyer's Guide

BigQuery vs. Oracle Autonomous Data Warehouse

June 2026

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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

3rd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

14th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Cloud Data Warehouse category, the mindshare of BigQuery is 7.3%, up from 6.6% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.7%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
BigQuery	7.3%
Oracle Autonomous Data Warehouse	4.7%
Other	88.0%

Cloud Data Warehouse

Featured Reviews

Mikah Sellers

Principal at Sgt Suds

Has supported detailed policy and education analysis with low-code data exploration

I do not use AWS as my main cloud provider within the company and am not currently using it with AWS. My company did not buy it through the AWS Marketplace as I'm the founder of the company. I do not use BigQuery's integration with Google Analytics for custom behavior analysis. I have not utilized the geospatial analysis capabilities with BigQuery as I'm doing mostly human capital work, so geospatial wouldn't make sense. I would rate their service on a scale of one to 10 for Google as ten. I would rate BigQuery as nine out of 10. My experience with the pricing for BigQuery was through a grant from Google. Their pricing is fairly priced and pretty comparable to Microsoft's offering. I haven't had direct experience, but I did look at the pricing of the Microsoft offering and it's pretty similar. I do not deal with Google AI tools such as Vertex.

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Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

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…

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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

"Even non-coders can review the data in BigQuery."

"When integrating their system into the cloud-based solutions, we were able to increase their efficiency and overall productivity twice compared with their on-premises option."

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

"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."

"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."

"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."

"This solution is highly scalable."

"The scalability is excellent, as it can handle large datasets and scale up pretty easily as the data volume grows while remaining very reliable with no bugs, glitches, crashes, or freezes."

More BigQuery pros

"I highly recommend it for companies who want to test their application functionality, dev, or test DBs for cost optimization."

"The product has self-repair features."

"One advantage is that if you already have an Oracle Database, it easily integrates with that."

"The integration feature is very good because you can automate protection security automatically, restricting the access of unauthorized people."

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

"The solution is used for analytics and it works for our data security needs."

"The solution integrates well with Power BI."

"The performance and scalability are awesome."

More Oracle Autonomous Data Warehouse pros

Cons

"BigQuery now only allows us to run queries. It doesn't provide us with any insights."

"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."

"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."

"It would be better if BigQuery didn't have huge restrictions. For example, when we migrate from on-premises to on-premise, the data which handles all ebook characters can be handled on-premise, but in BigQuery, we have huge restrictions."

"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."

"With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency."

"It can be slower and more problematic compared to other platforms such as Snowflake."

"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."

More BigQuery cons

"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."

"Oracle should increase visibility options because what's available now is limited."

"We are not satisfied with the technical support. Their understanding is lacking."

"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."

"One of the major problem is creating custom 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."

"I would like to see an on-premise solution in the future."

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

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

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

"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 pricing appears to be competitive for the intended usage scenarios we have in mind."

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

"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."

"The tool has competitive pricing."

"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."

"Price-wise, I think that is very reasonable."

More BigQuery pricing and cost advice

"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."

"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."

"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."

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

"The solution is expensive."

"The cost is perfect with Oracle Universal credit."

"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 solution's cost is reasonable."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Outsourcing Company

Manufacturing Company

Media Company

Manufacturing Company

10%

Financial Services Firm

Media Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	10
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	11

Questions from the Community

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 ...

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What needs improvement with BigQuery?

With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency. I cannot have e...

See all answers

What is your primary use case for BigQuery?

We are mostly dealing with Google solutions such as BigQuery, NoSQL, SQL analytical database, secrets manager, and most of the serverless infrastructure as well, databases. I run SQL queries on Big...

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

What is your primary use case for Oracle Autonomous Data Warehouse?

We are using Oracle Autonomous Data Warehouse for analytics in my company.

See all answers

Comparisons

Snowflake vs BigQuery

Compared 10% of the time

Teradata vs BigQuery

Compared 9% of the time

Snowflake Analytics vs BigQuery

Compared 6% of the time

OpenText Analytics Database (Vertica) vs BigQuery

Compared 6% of the time

Dremio vs BigQuery

Compared 5% of the time

More BigQuery Competitors

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Databricks vs Oracle Autonomous Data Warehouse

Compared 9% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 9% of the time

Amazon Redshift vs Oracle Autonomous Data Warehouse

Compared 6% of the time

Snowflake Analytics vs Oracle Autonomous Data Warehouse

Compared 5% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

BigQuery

June 2026

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Buyer's Guide

Oracle Autonomous Data Warehouse

June 2026

Download Oracle Autonomous Data Warehouse product report

Also Known As

No data available

Overview

BigQuery is a powerful cloud-based data warehouse offering advanced SQL querying, seamless Google integration, and scalable handling of large datasets. Its serverless architecture and built-in AI capabilities facilitate efficient data processing and insights extraction.

BigQuery provides an efficient data analysis platform with low-latency performance and cost-effective on-demand pricing. Leveraging Google's cloud infrastructure for data storage, it offers robust security and high availability. While it excels in SQL support and caching features, it can improve on user accessibility, integration with diverse tools, and machine learning feature expansion. Making it more accessible for smaller entities through improved cost management and local data compliance is essential. Enhancements in query speed and intuitive interfaces can further optimize performance.

What features are offered by BigQuery?

User-friendly interface: Simplifies data interaction, making complex processes more manageable.
Serverless architecture: Eliminates the need for infrastructure management, improving scalability and efficiency.
Advanced SQL querying: Enables complex data retrieval and manipulation with ease.
Machine learning integration: Facilitates AI-driven insights directly from the platform.
Cost-effective pricing: On-demand pricing helps manage expenses by paying only for used resources.
Seamless Google integration: Works well with familiar Google services for a cohesive experience.
High availability and robust security: Ensures data is secure and accessible when needed.

What benefits should be considered when evaluating BigQuery?

Efficient data processing: Quickly handles large datasets, supporting fast data-driven decision-making.
Scalable infrastructure: Grows capacity alongside business needs without manual infrastructure adjustments.
Enhanced data analysis: SQL support and caching features improve analysis precision and speed.
AI and machine learning capabilities: Enable advanced data insights and predictive analytics.
Integration with existing tools: Ensures smooth workflow transitions with services such as Google Analytics and Tableau.

In industries like healthcare, finance, and marketing, BigQuery is extensively used for data storage, generating reports, and supporting ETL processes. Educational institutions leverage it for analytics, aligning seamlessly with Google Cloud for serverless infrastructure efficiencies.

Google

Oracle Autonomous Data Warehouse is a cloud-based service offering advanced data management capabilities, including automated administration and high performance for analytics tasks. It is ideal for enterprises prioritizing security, easy maintenance, and dynamic scale.

Oracle Autonomous Data Warehouse stands out by offering self-managing capabilities that minimize administrative overhead, allowing organizations to focus on data-driven decision-making. With features such as transparent data encryption, seamless cloud integration, and automated query tuning, it ensures secure and efficient data operations. Its architecture separates compute and storage, enhancing scalability and performance. Despite its setup complexity and higher cost than some competitors, it offers deep integration with Oracle Database, ensuring reliable performance and fast data exchange.

What features define Oracle Autonomous Data Warehouse?

Self-Patching: Automatically updates to ensure security and performance.
Auto-Scaling: Dynamically adjusts resources to meet workload demands.
Query Tuning: Optimizes queries for better performance without user intervention.
Seamless Cloud Integration: Easily connects with Oracle and other cloud applications.
Transparent Data Encryption: Provides secure data handling to meet compliance needs.
Smart Scan: Efficiently processes queries to reduce data retrieval times.

What benefits can be expected from Oracle Autonomous Data Warehouse?

Cost-Effectiveness: Reduces operational costs through automation and serverless operations.
High Security: Ensures data protection with encryption and isolated resources.
Performance Enhancement: High-speed data processing and query response times.
Easy Maintenance: Minimal administrative tasks due to automation.
Scalability: Effortlessly scales resources to accommodate growth.

Oracle Autonomous Data Warehouse is widely used in finance, banking, transport, and manufacturing, supporting data analytics in financial systems, procurement, and student management. It facilitates large-scale transaction processing, offering centralized reporting and dynamic resource allocation, which is crucial for enhancing performance across industries.

Oracle

Sample Customers

Information Not Available

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

Buyer's Guide

BigQuery vs. Oracle Autonomous Data Warehouse

June 2026

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