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Oracle Big Data Appliance Reviews

Vendor: Oracle
4.0 out of 5
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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.

Get the Data Warehouse Buyer's Guide and find out what your peers are saying about Oracle Big Data Appliance, Teradata, Snowflake and more!
Oracle Big Data Appliance is the #14 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. Oracle Big Data Appliance is popular among the large enterprise segment, accounting for 58% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 20% of all views.
Buyer's Guide
Data Warehouse
February 2026
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Oracle Big Data Appliance mindshare

As of March 2026, the mindshare of Oracle Big Data Appliance in the Data Warehouse category stands at 2.5%, up from 0.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Oracle Big Data Appliance2.5%
Snowflake10.2%
Teradata9.0%
Other78.3%
Data Warehouse
 
 
Key learnings from peers

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.
  • "Big Data responds to my needs."
  • "We could work on large unstructured datasets from different parts of the world on Facebook and Twitter to get better insights."
  • "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."

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.
  • "We need to display the results on our website. I think there is another product that joins with it to give you the possibility."
  • "We had to pursue several performance tuning measures to bring up the system to scale."
  • "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."

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.
Download our Data Warehouse Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
14%
Government
14%
Comms Service Provider
6%
Retailer
6%
Outsourcing Company
6%
Media Company
4%
Educational Organization
4%
Marketing Services Firm
4%
Pharma/Biotech Company
4%
Computer Software Company
4%
Performing Arts
2%
Transportation Company
2%
Recreational Facilities/Services Company
2%
Healthcare Company
2%
University
2%
Logistics Company
2%
Hospitality Company
2%

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Learn more about Oracle Big Data Appliance

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

Oracle Big Data Appliance customers

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Product Categories

Product Categories
Data Warehouse

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Oracle Big Data Appliance Reviews Summary
Author infoRatingReview Summary
Analytics Lead at a tech vendor with 10,001+ employees4.0I've used Oracle Big Data Appliance for 15 years; it's stable, scalable, and offers strong storage features, but it's pricey, complex to set up, and the visualization tools need improvement despite solid support and reliable performance.
AI & Data Engineering Lead at a tech services company with 10,001+ employees4.0No summary available
Associate Vice President at a financial services firm with 10,001+ employees4.0No summary available
Systems Analyst at a tech services company with 51-200 employees4.0No summary available
IT Coordinator at Fundo Nacional de Saude4.5I find this product very stable, reliable, and easy for end-users, even without training. Our long-term Oracle partnership ensures good support and efficient, useful results. My main need is to display results on our website.
Senior Program Manager at a retailer with 1,001-5,000 employees3.5I appreciate its secure multi-language processing, Spark integration, and Hadoop support for sentiment analysis. While deployment and scalability were fine, initial stability required tuning. I suggest improving data visualization, and customer service was decent.