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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 (8th)
 

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.
KamleshPant - PeerSpot reviewer
Data ecosystem thrives with advanced governance and streaming capabilities
It is a data offering where I can see data lineage, data governance, and data security. Snowflake has a streaming capability to work with real-time streaming data and delta tables. Additionally, task management, job scheduling, and connecting multiple data sources unify my data across internal and external sources. The system ecosystem for analytics is enhanced, and AI capabilities are incorporated.

Quotes from Members

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

Pros

"This is a comprehensive solution that is easy to deploy."
"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 best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"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."
"Time Travel and Snowpipe are good features."
"It's not necessary to use a physical server."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"Features like the fact that the solution is very fast and available on the cloud are some of the valuable attributes of the solution."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"It's cloud-based technology, so users can spin it up a lot faster"
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
 

Cons

"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."
"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."
"Snowflake Analytics should probably have more built-in tools for master data management."
"The solution's high price can be an area of concern that needs improvement."
"If you have a lot of computations, it becomes very costly."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"Improvements are needed in importing and exporting large datasets to and from reporting tools."
"Snowflake should include a WHERE clause for building data pipelines."
"One notable absence in Snowflake's offerings is an on-premises solution."
"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."
"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 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."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."
"Snowflake Analytics is a little more costly than Azure."
"Snowflake Analytics is not an expensive solution, and its pricing is average."
"I have been using free trial version."
"The solution's pricing is affordable."
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Computer Software Company
15%
Government
11%
University
8%
Computer Software Company
20%
Retailer
13%
Financial Services Firm
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake is better and cheaper than Redshift and other cloud warehousing systems. It's economical.
What needs improvement with Snowflake Analytics?
Most features are already available. Perhaps AIML integration might be further needed, or Snowflake is already implementing it. AIML-based SQL prompt and query generation could be an area for enhan...
 

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: April 2025.
850,028 professionals have used our research since 2012.