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Oracle Big Data Appliance OverviewUNIXBusinessApplication

Oracle Big Data Appliance is #15 ranked solution in top Data Warehouse tools. PeerSpot users give Oracle Big Data Appliance an average rating of 8 out of 10. Oracle Big Data Appliance is most commonly compared to Oracle Exadata: Oracle Big Data Appliance vs Oracle Exadata. The top industry researching this solution are professionals from a computer software company, accounting for 39% of all views.
What is Oracle Big Data Appliance?

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

Buyer's Guide

Download the Data Warehouse Buyer's Guide including reviews and more. Updated: January 2022

Oracle Big Data Appliance Customers

Caixa Bank

Oracle Big Data Appliance Video

Oracle Big Data Appliance Reviews

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PankajKumar4
Associate Vice President at a financial services firm with 10,001+ employees
Real User
Top 10
Good performance, comprehensive, and easy to deploy
Pros and Cons
  • "This is a comprehensive solution that is easy to deploy."
  • "The product should be simplified for the average user."

What is our primary use case?

I am a consultant and I provide services that include this solution.

One of my customer's use cases was regulatory work, specifically with a Medicare application. The solution was designed for regulatory reporting and claim management.

What is most valuable?

The most valuable feature is that it can be used in conjunction with Spark memory processing. We are migrating from a mainframe and the Spark in-memory processing time is good. Our processing time has gone to 20 minutes from what used to be two or three hours on the mainframe.

This is a comprehensive solution that is easy to deploy.

What needs improvement?

The product should be simplified for the average user.

For how long have I used the solution?

I have been working with different firms using the Oracle Big Data Appliance for more than three years.

What do I think about the stability of the solution?

We have not had any issues with stability.

What do I think about the scalability of the solution?

Scalability has not been a problem for us.

How are customer service and technical support?

We have not been in contact with technical support.

Which solution did I use previously and why did I switch?

I have worked with similar solutions and the main difference between them is the analytics.

How was the initial setup?

This solution is very easy to deploy.

What about the implementation team?

We have an in-house team for deployment and maintenance.

What other advice do I have?

The features that I have needed to this point have all been available and this is a product that I recommend.

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Implementer