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Oracle Big Data Cloud Service vs Spot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 8, 2025

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

Oracle Big Data Cloud Service
Ranking in Cloud Analytics
2nd
Average Rating
7.6
Reviews Sentiment
6.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Spot
Ranking in Cloud Analytics
5th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
Cloud Management (32nd), Server Virtualization Software (14th), Cloud Operations Analytics (3rd), Compute Service (11th), Containers as a Service (CaaS) (7th), Cloud Cost Management (9th)
 

Mindshare comparison

As of June 2025, in the Cloud Analytics category, the mindshare of Oracle Big Data Cloud Service is 10.9%, up from 2.0% compared to the previous year. The mindshare of Spot is 17.3%, up from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Analytics
 

Featured Reviews

reviewer813444 - PeerSpot reviewer
Easy to set up with good data integration and data virtualization
We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers. There needs to be better integrations with other solutions and there need to be more tools (including virtualization tools) and utilities between this solution and Hadoop. For example, Oracle has a product called Big Data SQL and it built a bridge between Hadoop and Oracle's database to make things easier for developers. The solution needs to be more stable.
Manpreet_Singh - PeerSpot reviewer
Used to manage Kubernetes infrastructure, but it doesn't have support from OCI
Spot Ocean is deployed on the cloud in our organization. I would recommend the solution to other users. You need to have an experience with Kubernetes, or else this product is of no use. It is not difficult to learn to use Spot Ocean. Overall, I rate the solution a seven out of ten.

Quotes from Members

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

Pros

"The solution's most valuable aspect is the fact that it is open source."
"The solution's most valuable aspects are its data integration and data virtualization."
"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."
"The solution offers both block access and file access, making it a nice solution for customers."
 

Cons

"We've had some issues with stability."
"The solution needs to improve the functionality of the auto-deduplication."
"The solution doesn't have support from OCI, and it should start working to onboard OCI."
"There are no particular areas for improvement I can identify."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
22%
Computer Software Company
15%
Financial Services Firm
9%
Real Estate/Law Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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Earn 20 points
What do you like most about Spot Ocean?
The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.
What needs improvement with Spot Ocean?
There are no particular areas for improvement I can identify.
What is your primary use case for Spot Ocean?
Spot by NetApp is primarily used for backup and also for Fiservware.
 

Also Known As

No data available
Spot Ocean, Spot Elastigroup, Spot Eco
 

Overview

 

Sample Customers

GE Digital, Wiggle, RecVue
Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster
Find out what your peers are saying about Oracle Big Data Cloud Service vs. Spot and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.