Oracle Big Data Appliance Reviews

Name: Oracle Big Data Appliance
Brand: Oracle
Rating: 4.0 (6 reviews)

4.0 out of 5

6 reviews
75% willing to recommend

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.

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Oracle Big Data Appliance is the #13 ranked solution in top Data Warehouse solutions. PeerSpot users give Oracle Big Data Appliance an average rating of 8.0 out of 10. Oracle Big Data Appliance is most commonly compared to Teradata: Oracle Big Data Appliance vs Teradata.

Buyer's Guide

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July 2025

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Featured Oracle Big Data Appliance reviews

Mohammed Hamad

AI & Data Engineering Lead at a tech services company with 10,001+ employees

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. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

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reviewer1031826

Analytics Lead at DXC Technology

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.

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PankajKumar4

Associate Vice President at a financial services firm with 10,001+ employees

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.

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Oracle Big Data Appliance mindshare

As of August 2025, the mindshare of Oracle Big Data Appliance in the Data Warehouse category stands at 1.4%, up from 1.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

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Key learnings from peers

Last updated Aug 3, 2025

Valuable Features

Oracle Big Data Appliance excels with Hadoop distribution support, Spark on YARN for efficient processing, and enhanced language processing in over 80 languages. Users benefit from easy-to-use report-building via a drag-and-drop interface without deep technical knowledge. Security roles ensure data access control. ZFS technology offers large, cost-effective storage. Oracle Big Data SQL allows multi-level user inquiries across transactions. Spark in-memory processing reduces data processing times significantly, appealing for mainframe migrations.

"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."
"This is a comprehensive solution that is easy to deploy."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

Room for Improvement

Oracle Big Data Appliance requires improvements in data visualization and embedding dashboards into applications. Users find it challenging that it's difficult to deploy repositories in version 12c compared to 11g. Simplification for average users is necessary. There is a need for more innovation in AI and machine-learning capabilities without relying on Cloudera. The frequent changes in technology and features create confusion. Additionally, pricing is a concern due to competitive alternatives offering similar solutions at lower costs.

"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."
"The product should be simplified for the average user."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

Pricing

"Oracle's prices are too high compared to others in the market."

Popular Use Cases

Oracle Big Data Appliance is primarily used by organizations to centralize data storage, eliminating the need to transfer data from Oracle database applications to other warehouses. It's utilized for building reports, regulatory reporting, and claim management, offering a single source of truth for data. Clients often rely on it due to its seamless integration with Oracle applications, allowing data consolidation and efficient storage management, frequently chosen by those running Oracle environments.

Service and Support

Customer service receives mixed ratings, with some users rating it as average and others noting good response times. Some users have not needed technical support, relying on internet searches and resources instead. Users note the extensive availability of helpful articles and resources outside Oracle. One user rates technical support highly, giving it a nine out of 10. Oracle Big Data Appliance has a large user base, providing access to various helpful resources and information.

Deployment

Oracle provides organized documentation for initial setup. Oracle Advanced Customer Support, along with infrastructure teams, often participate to simplify the process. Some find the deployment quick and uncomplicated with 11g, while deploying 12c in a production environment might take longer. For others, initial setup appears somewhat complex and requires an expert due to Oracle's maturity and security features, which are prioritized over ease of use.

Scalability

Oracle Big Data Appliance demonstrates strong adaptability for various needs. Users report no challenges in scaling, noting its capacity to handle expanding data volumes effectively. Some have not tested features like Essbase cubes but anticipate enhanced performance with larger datasets. Scalability has been consistent; no encountered issues suggest a robust system capable of meeting demands without difficulty. Users praise its ability to access and utilize more extensive data efficiently.

Stability

Oracle Big Data Appliance is described as stable and reliable by multiple users. Some needed performance tuning to achieve optimal results, with Oracle ACS assistance ensuring stability. Users consistently report no difficulties, emphasizing the system's steadfastness and reliability. While infrastructure considerations are necessary, the appliance maintains satisfactory performance levels.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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