Oracle Big Data Appliance vs Snowflake Analytics comparison

Oracle and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Additionally, 75% of Oracle users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

544 Views
441 Comparison Views

75% willing to recommend

Snowflake Analytics

Read 43 Snowflake Analytics reviews

959 Views
345 Comparison Views

100% willing to recommend

Oracle Big Data Appliance

Snowflake Analytics

Comparison Buyer's Guide

Download the report

Executive Summary

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

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Oracle Big Data Appliance vs. Snowflake Analytics Report (Updated: December 2025).

Buyer's Guide

Oracle Big Data Appliance vs. Snowflake Analytics

December 2025

Download the complete report

Helped 881,114 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

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (14th)

Snowflake Analytics

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Web Analytics (2nd), Cloud Data Warehouse (10th)

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.

Read full review

Garima Goel

Associate Principal Engineer at Nagarro

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.

Read full review

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."

"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

"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 feature of Oracle Big Data Appliance, from a price perspective for the storage, is because they have technology called the ZFS technology; it offers huge storage with a decent price."

"It's not necessary to use a physical server."

"The computational power of Snowflake is very good."

"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."

"The most valuable features of Snowflake for our data analytics are its time travel capability, allowing easy data recovery, and its automatic optimization of partitioning and clustering."

"Scalability-wise, I rate the solution a ten out of ten."

"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."

"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."

"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."

More Snowflake Analytics pros

Cons

"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

"The product should be simplified for the average user."

"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 technical support is not very good."

"Integration into different Python and Jupyter notebooks needs to be improved."

"The platform could work easier for AI implementation compared to one of its competitors."

"Improvements are needed in importing and exporting large datasets to and from reporting tools."

"The UI could be more user-friendly."

"Snowflake Analytics should probably have more built-in tools for master data management."

"However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better."

"AIML-based SQL prompt and query generation could be an area for enhancement."

More Snowflake Analytics cons

Pricing and Cost Advice

"Oracle's prices are too high compared to others in the market."

"The pricing is on the higher side."

"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."

"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."

"The cost of Snowflake Analytics is low, any small organization can use it."

"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."

"Snowflake Analytics is not an expensive solution, and its pricing is average."

"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."

"Snowflake Analytics is a little more costly than Azure."

More Snowflake Analytics pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

14%

Financial Services Firm

Healthcare Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	12
Large Enterprise	21

Questions from the Community

What needs improvement with Oracle Big Data Appliance?

See all answers

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...

See all answers

What do you like most about Snowflake Analytics?

Its performance speed is very good.

See all answers

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.

See all answers

What needs improvement with Snowflake Analytics?

In my opinion, Snowflake Analytics can be improved by introducing more features, such as additional integration options. I remember using Snowflake Pro, which allows exporting direct data into the ...

See all answers

Comparisons

Oracle Exadata vs Oracle Big Data Appliance

Compared 30% of the time

IBM Integrated Analytics System vs Oracle Big Data Appliance

Compared 19% of the time

Teradata vs Oracle Big Data Appliance

Compared 14% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 13% of the time

SAP Business Warehouse vs Oracle Big Data Appliance

Compared 13% of the time

More Oracle Big Data Appliance Competitors

Amplitude vs Snowflake Analytics

Compared 17% of the time

SAP Business Data Cloud vs Snowflake Analytics

Compared 13% of the time

Teradata vs Snowflake Analytics

Compared 11% of the time

Adobe Analytics vs Snowflake Analytics

Compared 10% of the time

SAP IQ vs Snowflake Analytics

Compared 9% of the time

More Snowflake Analytics Competitors

Product Reports

Buyer's Guide

Data Warehouse

January 2026

Download Oracle Big Data Appliance product report

Buyer's Guide

Snowflake Analytics

January 2026

Download Snowflake Analytics product report

Overview

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

Oracle

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

Snowflake Computing

Sample Customers

Caixa Bank

Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper

Buyer's Guide

Oracle Big Data Appliance vs. Snowflake Analytics

December 2025

Free Report: Oracle Big Data Appliance vs. Snowflake Analytics

Find out what your peers are saying about Oracle Big Data Appliance vs. Snowflake Analytics and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,114 professionals have used our research since 2012.

See our Oracle Big Data Appliance vs. Snowflake Analytics report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud 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.