Oracle Big Data Appliance vs Snowflake Analytics comparison

Oracle Big Data Appliance vs. Snowflake Analytics

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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

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (13th)

Snowflake Analytics

Average Rating

8.4

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Web Analytics (1st), Cloud Data Warehouse (9th)

Featured Reviews

Mohammed Hamad

AI & Data Engineering Lead at a tech services company with 10,001+ employees

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.

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Paresh_Nayak

Solutions Architect at a financial services firm with 5,001-10,000 employees

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.

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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

"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."

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

"The most important feature is the warehouse functionality."

"Snowflake Analytics' most valuable feature is its inbuilt infrastructure for executing queries, which I don't have to manage based on my data volume as it's taken care of by Snowflake."

"It's a scalable solution because you can analyze a huge amount of data in the solution."

"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."

"It helps with business intelligence by providing analytics that can be reported."

"The performance has been good."

"The solution auto-scales and it provides concurrency."

"The most valuable feature of Snowflake Analytics is its performance."

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."

"Snowflake's Snowpark is an area of concern where improvements are required."

"The UI could be more user-friendly."

"If you have a lot of computations, it becomes very costly."

"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 tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."

"One area that could benefit from enhancement is the user interface for more visual ESM features."

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

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

More Snowflake Analytics cons

Pricing and Cost Advice

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

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

"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the 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."

"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."

"The solution's pricing is affordable."

"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."

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

"The product's pricing is subjective."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

15%

Financial Services Firm

10%

Retailer

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What needs improvement with Oracle Big Data Appliance?

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 th...

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...

What do you like most about Snowflake Analytics?

Its performance speed is very good.

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...

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Product Reports

Data Warehouse

Download Oracle Big Data Appliance product report

Snowflake Analytics

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

Oracle Big Data Appliance vs. Snowflake Analytics