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Databricks vs Oracle Autonomous Data Warehouse comparison

 

Comparison Buyer's Guide

Executive Summary

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
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
88
Ranking in other categories
Data Science Platforms (1st), Streaming Analytics (1st)
Oracle Autonomous Data Ware...
Ranking in Cloud Data Warehouse
10th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of Databricks is 8.4%, up from 3.2% 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

ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
Miodrag Milojevic - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The setup is quite easy."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The main features of the solution are efficiency."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"It can send out large data amounts."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The analytics have been very good. We've found them to be quite useful."
"The solution integrates well with Power BI."
"The solution is used for analytics and it works for our data security needs."
"The product has self-repair features."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"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."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
 

Cons

"Cluster failure is one of the biggest weaknesses I notice in our Databricks."
"Would be helpful to have additional licensing options."
"I have seen better user interfaces, so that is something that can be improved."
"There are no direct connectors — they are very limited."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"There is room for improvement in visualization."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"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."
"They should make the solution more user-friendly."
"The solution lacks visibility options."
"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."
"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."
"Optimization should be better."
"The installation process is complex. Oracle can make the installation process better."
 

Pricing and Cost Advice

"The price of Databricks is reasonable compared to other solutions."
"I would rate the tool’s pricing an eight out of ten."
"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."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."
"The solution is based on a licensing model."
"You pay as you go, and you don't pay for services that you don't use."
"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."
"ROI is high."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"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."
"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."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
Educational Organization
49%
Financial Services Firm
8%
Computer Software Company
7%
Manufacturing Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 ...
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...
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...
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...
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.
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
No data available
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Find out what your peers are saying about Databricks vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.