We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I am very satisfied with the customer service/technical support."
"The most valuable features are the performance and usability."
"The most valuable feature for me is querying."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature of this solution is performance."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The analytics have been very good. We've found them to be quite useful."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"Self-patching and runs machine-learning across its logs all the time"
"The solution integrates well with Power BI."
"The performance and scalability are awesome."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"More tools to help designers should be included."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"The reporting for certain types of data needs to be improved."
"This solution would be improved with an option for in-memory data analysis."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the tool to support different operating systems."
"I would like to see an on-premise solution in the future."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"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."
"Ease of connectivity could be improved."
"The initial setup was pretty complex. It was not easy."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"I think the program is well-priced compared to the other offerings that are out in the market."
"Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
"All the features that we use do not require any additional subscription or yearly fees."
"ROI is high."
"You pay as you go, and you don't pay for services that you don't use."
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.
Microsoft Parallel Data Warehouse is ranked 6th in Data Warehouse with 11 reviews while Oracle Autonomous Data Warehouse is ranked 5th in Cloud Data Warehouse with 6 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Oracle Autonomous Data Warehouse is rated 8.4. The top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, SAP BW4HANA and Teradata, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Microsoft Azure Synapse Analytics, Amazon Redshift, Oracle Exadata and Teradata.
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We monitor all 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.