We performed a comparison between Aster Data Map Reduce and Oracle Autonomous Data Warehouse based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse."The most valuable feature is the ease of uploading data from multiple sources."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"It's stable and reliable."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"A very good integration feature that restricts access to unauthorized people."
"The analytics have been very good. We've found them to be quite useful."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"The product is easy to use."
"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."
"It is a stable and scalable solution."
"The solution integrates well with Power BI."
"There are some ways that the handling of unstructured data could be improved."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"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."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"The installation process is complex. Oracle can make the installation process better."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"They should make the solution more user-friendly."
"I would like to see an on-premise solution in the future."
"A lot of the tools that were previously there have now been taken away."
"Ease of connectivity could be improved."
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Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Aster Data Map Reduce is rated 7.4, while Oracle Autonomous Data Warehouse is rated 8.6. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". Aster Data Map Reduce is most compared with , whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Amazon Redshift.
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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.
