We performed a comparison between Oracle Autonomous Data Warehouse and Snowflake 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."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 reason we use it."
"The performance and scalability are awesome."
"It is a very stable tool...It is an extremely scalable tool."
"Self-patching and runs machine-learning across its logs all the time"
"The analytics have been very good. We've found them to be quite useful."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The solution integrates well with Power BI."
"It is a stable and scalable solution."
"Its performance is most valuable. As compared to SQL Server, we are able to see a significant improvement in performance with Snowflake."
"The most valuable feature is the clone copy."
"The solution is stable."
"For us, the virtual warehousing is likely the most valuable aspect."
"The ETL and data ingestion capabilities are better in this solution as compared to SQL Server. SQL Server doesn't do much data ingestion, but Snowflake can do it quite conveniently."
"Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."
"The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem."
"Everything is automatic, and I don't have to do any maintenance."
"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."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"I would like to see an on-premise solution in the future."
"The installation process is complex. Oracle can make the installation process better."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"The solution lacks visibility options."
"The initial setup was pretty complex. It was not easy."
"Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market."
"They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in."
"Pricing is an issue for many customers."
"There are a lot of features that they need to come up with. A lot of functions are missing in Snowflake, so we have to find a workaround for those. For example, OUTER APPLY is a basic function in SQL Server, but it is not there in Snowflake. So, you have to write complex code for it."
"There are some challenges with loading unstructured data and integrating some message queues or brokers. In one project, we had a problem connecting to one of the message queues and we had to take a different route altogether on Microsoft Azure."
"Its transaction application needs improvement."
"Snowflake could improve migration. It should be made easier. It would be beneficial if it could offer some OLTP features. One of our customers was using Oracle for both data warehousing and OLTP workloads, and they were able to migrate their data warehousing workloads to Snowflake without major issues. However, for some of their OLTP requirements, such as needing a response time of fewer than 10 milliseconds for certain queries, Snowflake is currently unable to provide that."
"We would like to have an on-premises deployment option that has the same features, including scalability."
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Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 92 reviews. Oracle Autonomous Data Warehouse is rated 8.6, while Snowflake 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 writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Microsoft Azure Synapse Analytics, BigQuery, Amazon Redshift and Teradata, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and Amazon EMR. See our Oracle Autonomous Data Warehouse vs. Snowflake report.
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