Databricks vs Oracle Autonomous Data Warehouse comparison

Databricks and Oracle are both solutions in the Cloud Data Warehouse category. Databricks is ranked #9 with an average rating of 8.3, while Oracle is ranked #11 with an average rating of 7.7. Databricks holds a 10.0% mindshare in CDW, compared to Oracle’s 5.7% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 95% of Oracle users who would recommend it.

Databricks

Read 93 Databricks reviews

18,865 Views
2,075 Comparison Views

96% willing to recommend

Oracle Autonomous Data Ware...

Read 19 Oracle Autonomous Data Warehouse reviews

2,219 Views
1,664 Comparison Views

95% willing to recommend

Databricks

Oracle Autonomous Data Ware...

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Executive Summary

We performed a comparison between Databricks and Oracle Autonomous Data Warehouse based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Databricks vs. Oracle Autonomous Data Warehouse Report (Updated: February 2026).

Buyer's Guide

Databricks vs. Oracle Autonomous Data Warehouse

February 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

Databricks

Ranking in Cloud Data Warehouse

9th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)

Oracle Autonomous Data Ware...

Ranking in Cloud Data Warehouse

11th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Cloud Data Warehouse category, the mindshare of Databricks is 10.0%, up from 7.2% 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
Product	Market Share (%)
Databricks	10.0%
Oracle Autonomous Data Warehouse	5.7%
Other	84.3%

Cloud Data Warehouse

Featured Reviews

Satyam Wagh

Consultant at Nice Software Solutions

Unified data workflows have cut ticket processing times and are driving faster business insights

Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.

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reviewer1297710

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…

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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

"I like cloud scalability and data access for any type of user."

"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."

"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."

"There are good features for turning off clusters."

"The setup is quite easy."

"The solution offers a free community version."

"The main features of the solution are efficiency."

"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."

More Databricks pros

"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."

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

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

"A very good integration feature that restricts access to unauthorized people."

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

"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."

"The product is easy to use."

"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."

More Oracle Autonomous Data Warehouse pros

Cons

"Doesn't provide a lot of credits or trial options."

"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."

"It should have more compatible and more advanced visualization and machine learning libraries."

"The solution has some scalability and integration limitations when consolidating legacy systems."

"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."

"The initial setup of Databricks could be complex."

"In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further."

"So far, we're not measuring any return on investment, such as saving time, money, or resources with Databricks."

More Databricks cons

"They should make the solution more user-friendly."

"The setup is complex."

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

"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."

"Ease of connectivity could be improved."

"Oracle Autonomous Data Warehouse is not available as an on-premises solution."

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

"The initial setup was pretty complex. It was not easy."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The solution is based on a licensing model."

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."

"We're charged on what the data throughput is and also what the compute time is."

"The price of Databricks is reasonable compared to other solutions."

"We only pay for the Azure compute behind the solution."

"I would rate Databricks' pricing seven out of ten."

"The price is okay. It's competitive."

More Databricks pricing and cost advice

"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."

"We pay approximately $70,000 per month. The cost includes maintenance and support."

"The solution's cost is reasonable."

"The price depends on the configuration we choose."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Healthcare Company

Manufacturing Company

11%

Media Company

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	56

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

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

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How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

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Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

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

Dataiku vs Databricks

Compared 6% of the time

Microsoft Power BI vs Databricks

Compared 4% of the time

Dremio vs Databricks

Compared 4% of the time

Informatica PowerCenter vs Databricks

Compared 4% of the time

Alteryx vs Databricks

Compared 3% of the time

More Databricks Competitors

BigQuery vs Oracle Autonomous Data Warehouse

Compared 26% of the time

Snowflake vs Oracle Autonomous Data Warehouse

Compared 17% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 9% of the time

Oracle Exadata vs Oracle Autonomous Data Warehouse

Compared 7% of the time

Amazon Redshift vs Oracle Autonomous Data Warehouse

Compared 7% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

Databricks

February 2026

Download Databricks product report

Buyer's Guide

Oracle Autonomous Data Warehouse

January 2026

Download Oracle Autonomous Data Warehouse product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Overview

Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

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

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

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

Buyer's Guide

Databricks vs. Oracle Autonomous Data Warehouse

February 2026

Free Report: Databricks vs. Oracle Autonomous Data Warehouse

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