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Databricks vs Oracle Big Data Appliance 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
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Oracle Big Data Appliance
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
Data Warehouse (15th)
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
reviewer1031826 - PeerSpot reviewer
Analytics Lead at a tech vendor with 10,001+ employees
Platinum partnership leverages advanced storage and fosters seamless data integration
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less than even one-fourth or one-fifth of the Oracle price. For my side, the last time I worked with Oracle was in '21, '22. The price is a challenge that they have to look after. From the storage and data management perspective, I cannot recall anything that they have to improve, but they have to improve the visualization part significantly because they offer Oracle BI, which is an extremely not-matured application.

Quotes from Members

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

Pros

"The most significant benefit Databricks has brought to my company is the Unity Catalog."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Databricks tech support has been great every time I've dealt with them, and their team is highly knowledgeable."
"Databricks' capability to process data in parallel enhances data processing speed."
"We recommend Databricks, especially with the Azure cloud frameworks."
"Scalability is one of the main features of Databricks."
"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."
"The processing capacity is tremendous in the database."
"Big Data responds to my needs."
"The most valuable feature is that it can be used in conjunction with Spark memory processing, and our processing time has gone to 20 minutes from what used to be two or three hours on the mainframe."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"We could work on large unstructured datasets from different parts of the world on Facebook and Twitter to get better insights."
"This is a comprehensive solution that is easy to deploy."
"The best feature of Oracle Big Data Appliance, from a price perspective for the storage, is because they have technology called the ZFS technology; it offers huge storage with a decent price."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
 

Cons

"I would like it if Databricks adopted an interface more like R Studio."
"The initial setup is difficult."
"As a data engineer, I see cluster failure in our Databricks user databases as a major issue."
"The solution is not exactly stable. We've faced a few bugs which have really affected it, especially when it comes to connecting with Spark."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"Performance could be improved."
"The biggest problem associated with the product is that it is quite pricey."
"In my view, the fundamental approach of implementing Databricks is still very code heavy, more than you find in Azure Data Factory and other technologies like Informatica or SQL Server Integration Service."
"Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition; we have so many technologies that have come to the market for less than even one-fourth or one-fifth of the Oracle price."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"We need to display the results on our website. I think there is another product that joins with it to give you the possibility."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The product should be simplified for the average user."
"We had to pursue several performance tuning measures to bring up the system to scale."
 

Pricing and Cost Advice

"The solution is based on a licensing model."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"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 pricing depends on the usage itself."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"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 licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"The price is okay. It's competitive."
"Oracle's prices are too high compared to others in the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
6%
Healthcare Company
6%
Financial Services Firm
20%
Manufacturing Company
13%
Comms Service Provider
9%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise59
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise7
 

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 needs improvement with Oracle Big Data Appliance?
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less th...
What is your primary use case for Oracle Big Data Appliance?
The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...
 

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
Caixa Bank
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