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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 (8th), 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 (10th), Data Visualization (7th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.5%, up 5.1% compared to last year.
Oracle Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 2.6% mindshare, up 2.5% 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.
Enrique Pacheco Salinas - PeerSpot reviewer
Advanced analytics facilitate strategy development but demand specialized expertise and better support
Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks. However, skilled personnel are needed to operate it effectively due to its complexity. In addition, the brand name carries significant value as many large companies and banks are familiar with Oracle.

Quotes from Members

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

Pros

"The initial setup is pretty easy."
"Databricks is a robust solution for big data processing, offering flexibility and powerful features."
"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."
"Automation with Databricks is very easy when using the API."
"The solution is an impressive tool for data migration and integration."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"It is a cost-effective solution."
"Databricks has a Unified Catalog that assists with secured access and governance."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"It has the best feature for data augmentation."
"A valuable feature is the speed of the solution."
"The product is easily customized."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The technical support is excellent, and they respond quickly."
"The solution is user-friendly."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
 

Cons

"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"I would like more integration with SQL for using data in different workspaces."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"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."
"CI/CD needs additional leverage and support."
"It is less scalable than Snowflake."
"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."
"The price of the solution could be lower."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"When you implement the product on a small scale, it doesn't generate any ROI."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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."
 

Pricing and Cost Advice

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"Databricks' cost could be improved."
"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."
"There are different versions."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"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."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"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."
"The tool's pricing is not unreasonable or non-competitive."
"It is an expensive platform."
"We pay on a monthly basis and it is $10 per user each month."
"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."
"I would rate it a five out of five in terms of the value received for the price charge."
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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
 

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.
865,295 professionals have used our research since 2012.