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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 simplicity of development is the most valuable feature."
"It helps integrate data science and machine learning capabilities."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The solution is very easy to use."
"We have the ability to scale, collaborate and do machine learning."
"This is a stable and scalable solution."
"The advanced calculations by the tool are highly effective"
"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."
"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."
"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."
"The solution can scale."
"The most valuable features of the solution are dashboarding and data visualization."
"It has the best feature for data augmentation."
 

Cons

"Databricks has a lack of debuggers, and it would be good to see more components."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"The integration of data could be a bit better."
"I believe that this product could be improved by becoming more user-friendly."
"I have seen better user interfaces, so that is something that can be improved."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"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."
"The product should provide more advanced features in future releases."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."
"This solution could be more adaptable in its application."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"It is expensive."
"When you implement the product on a small scale, it doesn't generate any ROI."
"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."
 

Pricing and Cost Advice

"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"The cost is around $600,000 for 50 users."
"I would rate the tool’s pricing an eight out of ten."
"The pricing depends on the usage itself."
"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."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"Databricks are not costly when compared with other solutions' prices."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."
"We pay on a monthly basis and it is $10 per user each month."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"It is an expensive platform."
"The tool's pricing is not unreasonable or non-competitive."
"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"
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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.
867,676 professionals have used our research since 2012.