Try our new research platform with insights from 80,000+ expert users

Databricks vs Oracle Analytics Cloud 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
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), Streaming Analytics (1st)
Oracle Analytics Cloud
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
BI (Business Intelligence) Tools (9th), Data Visualization (6th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.3%, up 5.6% compared to last year.
Oracle Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.9% mindshare, down 2.4% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks8.3%
Snowflake17.7%
Dremio9.4%
Other64.6%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Oracle Analytics Cloud1.9%
Microsoft Power BI14.5%
Tableau Enterprise11.0%
Other72.6%
BI (Business Intelligence) Tools
 

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.
Vaclav-Biba - PeerSpot reviewer
Enhanced analytics through metadata-driven reporting with enterprise-level visualizations enables competitive advantage
In my opinion, what can be better in Oracle Analytics Cloud these days is primarily about pricing. I am from the Czech Republic, which is our main market. The situation here in the Czech Republic is that Power BI rules the world. There are two main reasons for this. First, speaking about the Czech Republic specifically, and second, the Power BI pricing model appears cheaper compared to Oracle Analytics Cloud. The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment.

Quotes from Members

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

Pros

"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Databricks serves as a single platform that can handle numerous end-to-end machine learning tasks."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The main features of the solution are efficiency."
"The solution offers a free community version."
"The solution is very easy to use."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"The solution is user-friendly."
"It has the best feature for data augmentation."
"The ability to quickly search for and access relevant data is crucial."
"The advanced calculations by the tool are highly effective"
"The solution can scale."
 

Cons

"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"Doesn't provide a lot of credits or trial options."
"Can be improved by including drag-and-drop features."
"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."
"I would like it if Databricks made it easier to set up a project."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"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."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"The solution could be more flexible."
"Its FAW feature has limitations in terms of usage."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."
"The interfaces could be improved and some in-memory operations could be built in."
"When you implement the product on a small scale, it doesn't generate any ROI."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
 

Pricing and Cost Advice

"It is an expensive tool. The licensing model is a pay-as-you-go one."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"We only pay for the Azure compute behind the solution."
"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."
"I would rate Databricks' pricing seven out of ten."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"I rate the price of Databricks as eight out of ten."
"It is an expensive platform."
"The tool's pricing is not unreasonable or non-competitive."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"A highly cost-effective solution"
"I would rate it a five out of five in terms of the value received for the price charge."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
867,349 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Government
11%
Computer Software Company
11%
Manufacturing Company
9%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise11
 

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...
Which Oracle product is better - OBIEE or Analytics Cloud?
Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...
What do you like most about Oracle Analytics Cloud?
The ability to quickly search for and access relevant data is crucial.
What is your experience regarding pricing and costs for Oracle Analytics Cloud?
The pricing of Oracle Analytics Cloud is quite expensive, fitting for a premium tool. However, the cost raises expectations for partner support that are not met, especially for smaller companies wh...
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Sejong Hospital
Find out what your peers are saying about Databricks vs. Oracle Analytics Cloud and other solutions. Updated: February 2023.
867,349 professionals have used our research since 2012.