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Oracle Autonomous Data Warehouse vs Snowflake Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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 Autonomous Data Ware...
Ranking in Cloud Data Warehouse
10th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
Snowflake Analytics
Ranking in Cloud Data Warehouse
8th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
40
Ranking in other categories
Web Analytics (1st)
 

Mindshare comparison

As of May 2025, in the Cloud Data Warehouse category, the mindshare of Oracle Autonomous Data Warehouse is 4.7%, up from 4.0% compared to the previous year. The mindshare of Snowflake Analytics is 0.5%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Miodrag Milojevic - PeerSpot reviewer
A tool for data warehousing that offers scalability, stability, and ease of setup
The initial setup of Oracle Autonomous Data Warehouse is easy and basic, especially if one doesn't use the tricks to get Oracle Exadata for use. One doesn't need to know or be involved in technical stuff to do the setup since, at the least, knowledge might be required when working with some external connections, but it is easy because everything can be done within a couple of clicks. The solution is deployed on the cloud. For deployment, you don't need any technical guidance since you can sit, find it on the web, and prepare an Oracle Autonomous Data Warehouse platform by yourself for free for a limited time. The people needed for the deployment and maintenance depend on the implementation one wants. If you do a simple implementation, you don't need anybody for maintenance since everything is on the cloud. You only have to schedule your backup or see if Oracle can schedule a backup, and you don't take care of the backup. For some more sophisticated or technical implementations, you will need staff for some data warehouse except for some parts of the maintenance like backup, patches, or upgrades since these are a few things you take care of in the background, and you only seek help with the maintenance part, if needed.
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

"A very good integration feature that restricts access to unauthorized people."
"The performance and scalability are awesome."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"The product is easy to use."
"It is a very stable tool...It is an extremely scalable tool."
"It is a stable and scalable solution."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"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."
"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"Features like the fact that the solution is very fast and available on the cloud are some of the valuable attributes of the solution."
"One advantage is that installation is unnecessary since it's cloud-based. You subscribe to a Snowflake instance, configure it, and start using it. It's very user-friendly and allows you to scale up or down based on usage."
"One of the key advancements in Snowflake Analytics is data sharing."
"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."
"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."
 

Cons

"The installation process is complex. Oracle can make the installation process better."
"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."
"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"Oracle Autonomous Data Warehouse is not available as an on-premises solution."
"We are not satisfied with the technical support. Their understanding is lacking."
"They should make the solution more user-friendly."
"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."
"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."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
"If you have a lot of computations, it becomes very costly."
"The platform could work easier for AI implementation compared to one of its competitors."
"I don't see many drawbacks with Snowflake Analytics, but it's not as mature as other tools. It is evolving and needs to integrate various features, like data loading and analytics, better. These components are not fully connected, so the tool should become a more integrated application."
"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."
"The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging."
"There are issues while loading data from Snowflake Analytics to the Power BI reporting."
 

Pricing and Cost Advice

"The cost is perfect with Oracle Universal credit."
"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."
"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
"You pay as you go, and you don't pay for services that you don't use."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"The price depends on the configuration we choose."
"ROI is high."
"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
"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 price is high and I would rate it an eight out of ten."
"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 tool is quite expensive."
"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."
"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 charges per query, which amounts to a very minor cost, such as $0.015 per query."
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Top Industries

By visitors reading reviews
Educational Organization
42%
Financial Services Firm
8%
Computer Software Company
7%
Manufacturing Company
5%
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

What do you like most about Oracle Autonomous Data Warehouse?
With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main...
What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
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

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Oracle Autonomous Data Warehouse vs. Snowflake Analytics and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.