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Oracle Big Data Appliance vs Snowflake Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Data Warehouse (19th)
Snowflake Analytics
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
40
Ranking in other categories
Web Analytics (1st), Cloud Data Warehouse (9th)
 

Featured Reviews

Mohammed Hamad - PeerSpot reviewer
Provides clean, centralized data
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.
Paresh_Nayak - PeerSpot reviewer
Enables data-driven decision-making with robust features and effective scalability
The internal design engine and the columnar database are particularly valuable. These features reduce input and output memory, which is crucial in handling large data sets. The solution fulfills the business requirement for scaling and analytics. Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"The most valuable feature of Snowflake Analytics is its performance."
"It can run complex workloads with varied compute."
"Time Travel and Snowpipe are good features."
"The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes."
"Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate."
"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."
"The performance has been good."
"The platform not only provides ease of use but also stands out for its speedy execution, conveying a sense of robustness and reliability that I find appealing."
 

Cons

"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."
"The solution's high price can be an area of concern that needs improvement."
"There are issues while loading data from Snowflake Analytics to the Power BI reporting."
"The UI could be more user-friendly."
"I don't see many drawbacks with Snowflake Analytics, but it's not as mature as other tools. It is evolving and needs to integrate various features, like data loading and analytics, better. These components are not fully connected, so the tool should become a more integrated application."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks."
"The technical support is not very good."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
 

Pricing and Cost Advice

"Oracle's prices are too high compared to others in the market."
"The cost of Snowflake Analytics is low, any small organization can use it."
"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."
"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."
"The product's pricing is subjective."
"When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."
"I have been using free trial version."
"Snowflake Analytics is not an expensive solution, and its pricing is average."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
15%
Government
10%
Real Estate/Law Firm
7%
Computer Software Company
17%
Retailer
11%
Financial Services Firm
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
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What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
What needs improvement with Snowflake Analytics?
The advantages of Snowflake Analytics outweigh the disadvantages. However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it wo...
 

Overview

 

Sample Customers

Caixa Bank
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Oracle Big Data Appliance vs. Snowflake Analytics and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.