Oracle Big Data Appliance vs Treasure Data comparison

Why PeerSpot?

Oracle and Treasure Data are both solutions in the Data Warehouse category. Oracle is ranked #13 with an average rating of 8.0, while Treasure Data is ranked #22. Oracle holds a 2.7% mindshare in Data Warehouse, compared to Treasure Data’s 2.0% mindshare. Additionally, 75% of Oracle users are willing to recommend the solution, compared to 100% of Treasure Data users who would recommend it.

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

1,724 Views
1,362 Comparison Views

75% willing to recommend

Treasure Data

Read 1 Treasure Data review

2,365 Views
875 Comparison Views

100% willing to recommend

Oracle Big Data Appliance

Treasure Data

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Oracle Big Data Appliance and Treasure Data based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse.

To learn more, read our detailed Data Warehouse Report (Updated: August 2026).

Buyer's Guide

Data Warehouse

August 2026

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Helped 913,076 peers since 2012

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 Appliance

Ranking in Data Warehouse

13th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Treasure Data

Ranking in Data Warehouse

22nd

Average Rating

9.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Customer Data Platforms (CDP) (9th), AI Customer Experience Personalization (65th)

Mindshare comparison

As of September 2026, in the Data Warehouse category, the mindshare of Oracle Big Data Appliance is 2.7%, up from 1.5% compared to the previous year. The mindshare of Treasure Data is 2.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Oracle Big Data Appliance	2.7%
Treasure Data	2.0%
Other	95.3%

Data Warehouse

Featured Reviews

reviewer1031826

Analytics Lead at a tech vendor with 10,001+ employees

Platinum partnership leverages advanced storage and fosters seamless data integration

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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DEEPAK SINGH THAKUR

Software Engineer at Indegene

Users can effortlessly create tables and manage data, even without utilizing the graphical interface

The initial setup is difficult due to the lack of detailed documentation. While the documentation provides a high-level overview, it lacks the specific instructions needed for setup. We relied on assistance from the Treasure Data team, including their support team, to navigate the process. Additionally, various policies to consider further complicate the setup, which ultimately requires time. We handle a large volume of data, and ensuring everything runs smoothly is crucial. Previously, it would take three to four months for one deployment due to the need to create workflows, conduct functional and comprehensive testing to ensure everything works seamlessly, and then proceed with delivery.

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

13%

Outsourcing Company

10%

Comms Service Provider

10%

Manufacturing Company

21%

Comms Service Provider

12%

Construction Company

11%

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	7

No data available

Questions from the Community

What needs improvement with Oracle Big Data Appliance?

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What is your primary use case for Oracle Big Data Appliance?

The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...

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Comparisons

SAP BW4HANA vs Oracle Big Data Appliance

Compared 12% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 8% of the time

Oracle Exadata vs Oracle Big Data Appliance

Compared 8% of the time

IBM Integrated Analytics System vs Oracle Big Data Appliance

Compared 7% of the time

Snowflake vs Oracle Big Data Appliance

Compared 4% of the time

More Oracle Big Data Appliance Competitors

Teradata vs Treasure Data

Compared 13% of the time

Hightouch vs Treasure Data

Compared 12% of the time

Amperity vs Treasure Data

Compared 10% of the time

Snowflake vs Treasure Data

Compared 7% of the time

mParticle vs Treasure Data

Compared 6% of the time

More Treasure Data Competitors

Product Reports

Buyer's Guide

Data Warehouse

August 2026

Download Oracle Big Data Appliance product report

Buyer's Guide

Customer Data Platforms (CDP)

August 2026

Download Treasure Data product report

Overview

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.

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

Treasure Data offers a powerful data management platform primarily used for customer data integration and behavior analytics. It excels in creating unified views of customer data from multiple sources, enabling tailored marketing and optimized targeted advertising through robust segmentation and predictive analytics. With a user-friendly interface and real-time analytics, it enhances organizational efficiency, supports large-scale data processing, and aids in making quick, informed decisions.

Treasure Data

Sample Customers

Caixa Bank

Pioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium

Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse. Updated: August 2026.

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We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.