We performed a comparison between Oracle Autonomous Data Warehouse 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.
"A very good integration feature that restricts access to unauthorized people."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"It is a stable and scalable solution."
"It is a very stable tool...It is an extremely scalable tool."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"The performance and scalability are awesome."
"The product is easy to use."
"The solution auto-scales and it provides concurrency."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning."
"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."
"The most valuable feature of Snowflake Analytics is its performance."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"One of the valuable features is the solution’s time travel capability. The solution is highly stable. The solution is highly scalable. The initial setup is straightforward, and the deployment process is quick and efficient. I recommend the solution. Overall, I rate it a perfect ten."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"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."
"I would like to see an on-premise solution in the future."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"The solution lacks visibility options."
"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."
"They should make the solution more user-friendly."
"The installation process is complex. Oracle can make the installation process better."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
"The platform's data governance space needs more capability."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The UI could be more user-friendly."
"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."
"Snowflake should include a WHERE clause for building data pipelines."
"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."
More Oracle Autonomous Data Warehouse Pricing and Cost Advice →
Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. Oracle Autonomous Data Warehouse is rated 8.6, while Snowflake Analytics is rated 8.4. The top reviewer of Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Amazon Redshift, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our Oracle Autonomous Data Warehouse 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.
