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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 offers a comprehensive platform integrating ZFS technology and supporting Spark, designed to boost performance with Hadoop distributions, ensuring data security and accessibility across multiple languages.

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Oracle Big Data Appliance is the #15 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 45% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 24% of all views.
Buyer's Guide
Data Warehouse
May 2026
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Helped 893,221 peers since 2012

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Oracle Big Data Appliance mindshare

As of May 2026, the mindshare of Oracle Big Data Appliance in the Data Warehouse category stands at 2.5%, up from 1.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Oracle Big Data Appliance2.5%
Snowflake9.3%
Teradata8.8%
Other79.4%
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.
  • "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."
  • "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."

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

Top industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
14%
Government
9%
Comms Service Provider
9%
Outsourcing Company
7%
Retailer
5%
Construction Company
5%
Marketing Services Firm
3%
Educational Organization
3%
Media Company
3%
Pharma/Biotech Company
3%
Computer Software Company
3%
Performing Arts
2%
Transportation Company
2%
Recreational Facilities/Services Company
2%
Logistics Company
2%
Healthcare Company
2%
Hospitality Company
2%

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Learn more about Oracle Big Data Appliance

Oracle Big Data Appliance presents an adaptable solution facilitating data consolidation with robust storage technology, crucial for central data repositories. Its Spark in-memory processing significantly reduces time through seamless integration with Hadoop distributions like Hortonworks and Cloudera. Role-based security enhances organizational data access, while multi-language support meets diverse processing requirements. Although challenges exist in AI capabilities and visualization tool efficiency, the platform remains valuable for entity-wide deployment.

What key features does Oracle Big Data Appliance offer?
  • Drag-and-Drop Interface: Enables non-technical users to build reports effortlessly.
  • ZFS Technology: Provides cost-effective storage solutions.
  • Spark on YARN Support: Enhances Hadoop performance with faster processing.
  • Security Roles: Ensures data access alignment with user privileges.
  • Multi-Language Support: Assists in handling diverse language processing needs.
What benefits should users look for when evaluating Oracle Big Data Appliance?
  • Centralized Data Management: Avoids the need for additional data warehouses.
  • Regulatory Reporting Facilitation: Eases compliance processes in sectors like Medicare.
  • Role-Based Reporting: Empowers end-users to create reports based on specific needs.
  • Consultation Integrations: Supports seamless data management when coupled with external services.

Oracle Big Data Appliance is predominantly used in healthcare and financial services, where data consolidation and regulatory compliance are crucial. Entities leverage Oracle's storage capabilities to maintain centralized repositories, expediting regulatory reporting and claim management processes, particularly benefiting sectors like Medicare. Consulting services frequently integrate Oracle platforms to enhance data management efficiency, especially for organizations utilizing Oracle applications.

Oracle Big Data Appliance customers

Caixa Bank

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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+ employees4.0I find Big Data Appliance excellent for a single source of truth and real-time insights. However, I believe it needs more Oracle AI/ML innovation rather than relying on Cloudera, and its cost is high.
Associate Vice President at a financial services firm with 10,001+ employees4.0As a consultant, I find this comprehensive, easy-to-deploy solution stable and scalable. Spark memory processing significantly improved our times for regulatory work. I rate it 8/10, but it needs simplification for average users.
Systems Analyst at a tech services company with 51-200 employees4.0I rate Oracle OBI EE an 8/10. I value how end-users easily build reports without database knowledge and automatic security. However, repository deployment is harder in 12c, and I'd like easier dashboard embedding options.
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.