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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
88
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
Oracle Analytics Cloud
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
26
Ranking in other categories
BI (Business Intelligence) Tools (8th), 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 8.4%, up 3.2% compared to last year.
Oracle Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 2.3% mindshare, down 2.8% since last year.
Cloud Data Warehouse
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.
Hafiz Abdul Mannan - PeerSpot reviewer
Empowers your entire organization to ask any question of any data—across any environment, on any device
The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions.

Quotes from Members

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

Pros

"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The processing capacity is tremendous in the database."
"The solution is very simple and stable."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster."
"The integration with Python and the notebooks really helps."
"It's very simple to use Databricks Apache Spark."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"The best feature may be data flow, which is used to prepare and clean data."
"The most valuable features of the solution are dashboarding and data 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."
"It has the best feature for data augmentation."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"This is a stable and scalable solution."
"The advanced calculations by the tool are highly effective"
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
 

Cons

"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."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"A lot of people are required to manage this solution."
"I would like more integration with SQL for using data in different workspaces."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"In the next release, I would like to see more optimization features."
"Pricing is one of the things that could be improved."
"The integration and query capabilities can be improved."
"The price of the solution could be lower."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"The interfaces could be improved and some in-memory operations could be built in."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"The scalability has room for improvement."
 

Pricing and Cost Advice

"The price of Databricks is reasonable compared to other solutions."
"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 depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The cost is around $600,000 for 50 users."
"The solution is based on a licensing model."
"We only pay for the Azure compute behind the solution."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"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"
"We pay on a monthly basis and it is $10 per user each month."
"It is an expensive platform."
"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."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"The tool's pricing is not unreasonable or non-competitive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Educational Organization
36%
Computer Software Company
9%
Financial Services Firm
8%
Government
8%
 

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...
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.
847,646 professionals have used our research since 2012.