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...

Comparison Buyer's Guide

Download the report

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: December 2025).

Buyer's Guide

Databricks vs. Oracle Autonomous Data Warehouse

December 2025

Download the complete report

Helped 881,707 peers since 2012

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.

Read full review

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…

Read full review

Quotes from Members

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

Pros

"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."

"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."

"The solution is very simple and stable."

"Databricks is a truly essential platform for data engineering needs, and I recommend it to anyone looking to advance in the data engineering field."

"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."

"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."

"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."

"Easy to use and requires minimal coding and customizations."

More Databricks pros

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

"It is a stable and scalable solution."

"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."

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

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

"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."

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

More Oracle Autonomous Data Warehouse pros

Cons

"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."

"I would love an integration in my desktop IDE. For now, I have to code on their webpage."

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

"The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms."

"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."

"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."

"The Databricks cluster can be improved."

"The connectivity with various BI tools could be improved, specifically the performance and real time integration."

More Databricks cons

"A lot of the tools that were previously there have now been taken away."

"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."

"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."

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

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

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

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

"The setup is complex."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."

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

"Price-wise, I would rate Databricks a three out of five."

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."

"Databricks' cost could be improved."

"The product pricing is moderate."

"The solution requires a subscription."

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

More Databricks 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."

"The solution's cost is reasonable."

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

"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."

"The price depends on the configuration we choose."

"The cost is perfect with Oracle Universal credit."

More Oracle Autonomous Data Warehouse pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

881,707 professionals have used our research since 2012.

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 ...

See all answers

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...

See all answers

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 5% 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 16% 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 6% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Buyer's Guide

Databricks

January 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

December 2025

Free Report: Databricks vs. Oracle Autonomous Data Warehouse

Find out what your peers are saying about Databricks vs. Oracle Autonomous Data Warehouse and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,707 professionals have used our research since 2012.

See our Databricks vs. Oracle Autonomous Data Warehouse report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.