Oracle Big Data Appliance vs Snowflake comparison

Oracle and Snowflake Computing are both solutions in the Data Warehouse category. Oracle is ranked #14 with an average rating of 8.0, while Snowflake Computing is ranked #1 with an average rating of 8.3. Oracle holds a 2.5% mindshare in Data Warehouse, compared to Snowflake Computing’s 10.2% mindshare. Additionally, 75% of Oracle users are willing to recommend the solution, compared to 97% of Snowflake Computing users who would recommend it.

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

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587 Comparison Views

75% willing to recommend

Snowflake

Read 104 Snowflake reviews

9,378 Views
3,751 Comparison Views

97% willing to recommend

Oracle Big Data Appliance

Snowflake

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 1, 2026

Snowflake and Oracle Big Data Appliance are leading data management solutions in the market. Snowflake holds a competitive edge in scalability and cost-efficiency due to its flexible pricing and cloud-native architecture.

Features: Snowflake offers seamless cloud-native data warehousing with scalable compute resources, multi-cloud platform support, and easy data sharing. Oracle Big Data Appliance provides an integrated hardware and software approach for optimized big data processing with advanced security and comprehensive analytics.

Room for Improvement: Snowflake could enhance its multi-cloud integration and data governance features. It may also benefit from improved documentation and advanced on-premise capabilities for hybrid environments. Oracle Big Data Appliance can improve its cloud integration, simplify initial setup procedures, and reduce overall maintenance complexity for users.

Ease of Deployment and Customer Service: Snowflake's quick cloud-based deployment offers a user-friendly experience with high customer service satisfaction due to intuitive setup and responsive support. Oracle Big Data Appliance's deployment is more complex, requiring significant on-premise installation and reflects its intricate architecture but provides dedicated support for enterprise clients.

Pricing and ROI: Snowflake's subscription pricing model is flexible, aligning costs with usage, and often results in a high ROI for growing companies. Oracle Big Data Appliance demands a substantial upfront investment suited for enterprises needing extensive processing power, promising long-term ROI through its robust capabilities.

To learn more, read our detailed Oracle Big Data Appliance vs. Snowflake Report (Updated: March 2026).

Buyer's Guide

Oracle Big Data Appliance vs. Snowflake

March 2026

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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

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake

Ranking in Data Warehouse

1st

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

104

Ranking in other categories

Cloud Data Warehouse (1st), AI Synthetic Data (2nd), Database Management Systems (DBMS) (7th), AI Software Development (9th)

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of Oracle Big Data Appliance is 2.5%, up from 0.9% compared to the previous year. The mindshare of Snowflake is 10.2%, down from 14.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Snowflake	10.2%
Oracle Big Data Appliance	2.5%
Other	87.3%

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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SunilPatil1

Asset Builder at Genpact - Headstrong

Have prioritized security while managing multi-agent data migration and cloud adoption

We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.

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Quotes from Members

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

Pros

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

"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."

"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."

"We could work on large unstructured datasets from different parts of the world on Facebook and Twitter to get better insights."

"This is a comprehensive solution that is easy to deploy."

"In addition to the database, Snowflake also provides ingestion capabilities."

"The reduced infrastructure management is the big difference compared to on-prem warehousing with Snowflake Data Cloud."

"The solution is easy to use."

"It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability."

"We utilize Time Travel with Snowflake because this is a very useful feature; everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things."

"Working with Parquet files is support out of the box and it makes large dataset processing much easier."

"Snowflake is an enormously useful platform. The Snowpipe feature is valuable because it allows us to load terabytes and petabytes of data into the data mart at a very low cost."

"This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere."

More Snowflake pros

Cons

"We had to pursue several performance tuning measures to bring up the system to scale."

"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."

"Snowflake can improve its machine learning and AI capabilities."

"Room for improvement would be writebacks. It doesn't support extensively writing back to the database, and it doesn't support web applications effectively. Ultimately, it's a database call, so if we are building web applications using Snowflake, it isn't that effective because there is some turnaround time from the database."

"There are three things that came to my notice. I am not very sure whether they have already done it. The first one is very specific to the virtual data warehouse. Snowflake might want to offer industry-specific models for the data warehouse. Snowflake is a very strong product with credit. For a typical retail industry, such as the pharma industry, if it can get into the functional space as well, it will be a big shot in their arm. The second thing is related to the migration from other data warehouses to Snowflake. They can make the migration a little bit more seamless and easy. It should be compatible, well-structured, and well-governed. Many enterprises have huge impetus and urgency to move to Snowflake from their existing data warehouse, so, naturally, this is an area that is critical. The third thing is related to the capability of dealing with relational and dimensional structures. It is not that friendly with relational structures. Snowflake is more friendly with the dimensional structure or the data masks, which is characteristic of a Kimball model. It is very difficult to be savvy and friendly with both structures because these structures are different and address different kinds of needs. One is manipulation-heavy, and the other one is read-heavy or analysis-heavy. One is for heavy or frequent changes and amendments, and the other one is for frequent reads. One is flat, and the other one is distributed. There are fundamental differences between these two structures. If I were to consider Snowflake as a silver bullet, it should be equally savvy on both ends, which I don't think is the case. Maybe the product has grown and scaled up from where it was."

"The cost of the solution could be reduced."

"If they could bring in some tools for data integration, it would be really great."

"We would like to see more security including more masking and more encryption at the database level."

"Its transaction application needs improvement."

"To ensure the proper functioning of Snowflake as an MDS, it relies heavily on other partner tools."

More Snowflake cons

Pricing and Cost Advice

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

"The price of Snowflake is very reasonable."

"The tool's pricing is based on the number of queries you want on your database. The cost is small. To get the tool's pricing, you can do the math based on the cost per query, which is $0.002. If you're running your queries frequently, your charges will be higher than running fewer queries."

"It is hard to say because we're usually engaged in the transition as opposed to the long term. Their storage costs are easily within pennies of what AWS S3 would normally cost. Most of the clients I've been working with are in the financial sector, and they're relatively small. I would put them in an SMB connection. The first thing we have to bring up for people is that they're going to build this. They shouldn't store their data in S3. They should pipeline directly into Snowflake and use it on their storage. So, the cost is a big issue because these are small to medium size companies, and that is the biggest thing we had to price point for them."

"The solution is expensive."

"Users have to pay a licensing fee for the solution, which is expensive."

"The product's price range falls between average to a bit expensive range. I think the tool is worth the money if you use it properly."

"We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."

"You need to be aware of the bloating costs. It is easy to use, but if you don't use it wisely, then your monthly bill can bloat a lot. You need to be a bit aware of its consumption cost."

More Snowflake pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

Healthcare Company

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	29
Midsize Enterprise	20
Large Enterprise	58

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 is your experience regarding pricing and costs for Snowflake?

For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...

See all answers

What needs improvement with Snowflake?

Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...

See all answers

What is your primary use case for Snowflake?

Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....

See all answers

Comparisons

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Compared 11% of the time

IBM Integrated Analytics System vs Oracle Big Data Appliance

Compared 10% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 7% of the time

SAP IQ vs Oracle Big Data Appliance

Compared 6% of the time

IBM Netezza Performance Server vs Oracle Big Data Appliance

Compared 5% of the time

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Teradata vs Snowflake

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Snowflake

Compared 6% of the time

Amazon Redshift vs Snowflake

Compared 6% of the time

Azure Data Factory vs Snowflake

Compared 5% of the time

Dremio vs Snowflake

Compared 4% of the time

More Snowflake Competitors

Product Reports

Buyer's Guide

Data Warehouse

February 2026

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Buyer's Guide

Snowflake

February 2026

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Also Known As

No data available

Snowflake Computing, Snowflake Data Cloud

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

Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.

Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.

What are Snowflake's Key Features?

Scalability: Easily adjusts to handle growing data volumes.
Seamless Integration: Works with a wide range of platforms.
Consumption-Based Costs: Pay only for what you use.
Time Travel: Access historical data effortlessly.
Data Sharing: Secure and efficient sharing of datasets.
Time Zone Conversion: Built-in feature for global operations.
Security: Robust measures to protect sensitive information.
Compute and Storage Separation: Independent scaling for optimal performance.

What Benefits Should You Look for?

Cost Efficiency: Optimized pricing models for minimal waste.
Enhanced Performance: Fast queries and processing times.
Flexibility: Handles both structured and semi-structured data.
Analytics Capabilities: Supports advanced data analysis and reporting.

In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.

Snowflake Computing

Sample Customers

Caixa Bank

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops

Buyer's Guide

Oracle Big Data Appliance vs. Snowflake

March 2026

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