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Oracle Exadata 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:
 

ROI

Sentiment score
6.3
Oracle Exadata offers early break-even, reduced costs, increased performance, and significant savings despite complex licensing challenges.
Sentiment score
5.7
Snowflake Analytics offers potential 40-50% performance benefits and cost savings, though financial returns vary based on user needs.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
6.5
Oracle Exadata support praised for expertise, but critiques focus on delays and process efficiency improvement needs.
Sentiment score
7.2
Snowflake Analytics receives praise for responsive support, though some suggest improvements in complex issue resolution and occasional delay handling.
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
The Snowflake Analytics documentation is excellent.
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
 

Scalability Issues

Sentiment score
7.5
Oracle Exadata offers efficient scalability with flexible configurations, easy expansion, and high costs; ensure compatible hardware generations.
Sentiment score
7.8
Snowflake Analytics efficiently manages large data volumes with dynamic cloud scaling, offering superior scalability and cost efficiency versus competitors.
Within a site, scalability is excellent.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
It supports both horizontal and vertical scaling effectively.
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
 

Stability Issues

Sentiment score
7.8
Oracle Exadata is praised for reliability and stability, with improved models offering redundancy and high availability, minimizing downtime.
Sentiment score
8.4
Snowflake Analytics is highly rated for its stable and reliable performance, ensuring minimal disruptions and high availability.
Once installed, Exadata is very stable.
Snowflake Analytics has been stable and reliable in my experience.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
They connected with us to resolve the issue.
 

Room For Improvement

Oracle Exadata needs cost management, simplified patching, improved support, better customization, enhanced security, and third-party integration.
Snowflake Analytics requires enhancements in ML, cloud, legacy integration, cost transparency, user experience, and performance with large datasets.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
AIML-based SQL prompt and query generation could be an area for enhancement.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
 

Setup Cost

Oracle Exadata's high costs are justified by its performance and reliability, offering value through reduced operational expenses.
Snowflake Analytics offers flexible usage-based pricing impacting cost, with views varying on expense and competitive pay-as-you-go benefits.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
Snowflake Analytics is quite economical.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
 

Valuable Features

Oracle Exadata enhances performance, handles large databases efficiently, and simplifies management with advanced features and intelligent storage capabilities.
Snowflake Analytics provides efficient, secure, and scalable data management, supporting seamless integration and cost-effective analytics with advanced features.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems.
 

Categories and Ranking

Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
129
Ranking in other categories
Data Warehouse (2nd)
Snowflake Analytics
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
42
Ranking in other categories
Web Analytics (2nd), Cloud Data Warehouse (10th)
 

Featured Reviews

Ahmed-Yehia - PeerSpot reviewer
Exceptional database performance with high availability and good reliability
The major use of Exadata is for running databases, big databases, and also for backing them up. It provides high availability and high performance specifically for databases, and not for applications, just Oracle databases High availability and high performance are very valuable aspects of the…
Garima Goel - PeerSpot reviewer
Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features
There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Computer Software Company
10%
Government
6%
Manufacturing Company
5%
Computer Software Company
16%
Retailer
9%
Financial Services Firm
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise13
Large Enterprise86
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise12
Large Enterprise21
 

Questions from the Community

What do you like most about Oracle Exadata?
It is the best solution for OLTP and data warehousing.
What is your experience regarding pricing and costs for Oracle Exadata?
The cost of Oracle Exadata is substantial, particularly in terms of maintenance costs and licensing. This pricing strategy has led to strained relationships with IT companies including HP and Cisco...
What needs improvement with Oracle Exadata?
Patching Oracle Exadata can be challenging due to its numerous components including network, blade, CPU, storage, and VMs. The system's complexity extends beyond simple maintenance tasks. The perfo...
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?
There are some minor issues encountered with Snowflake Analytics, such as problems when working with identity or row number generating different results or issues with referential integrity, which ...
 

Overview

 

Sample Customers

PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Oracle Exadata vs. Snowflake Analytics and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.