We performed a comparison between Azure Data Factory and Oracle Autonomous Data Warehouse 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."What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"Data Factory's best features are simplicity and flexibility."
"The security of the agent that is installed on-premises is very good."
"I am one hundred percent happy with the stability."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The solution has a good interface and the integration with GitHub is very useful."
"The solution can scale very easily."
"The solution is okay."
"It is a stable and scalable solution."
"The product is easy to use."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"The performance and scalability are awesome."
"Self-patching and runs machine-learning across its logs all the time"
"It is a very stable tool...It is an extremely scalable tool."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"There is no built-in pipeline exit activity when encountering an error."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Lacks in-built streaming data processing."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"The initial setup is not very straightforward."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Ease of connectivity could be improved."
"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."
"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 Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
"The installation process is complex. Oracle can make the installation process better."
"They should make the solution more user-friendly."
"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."
"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."
More Oracle Autonomous Data Warehouse Pricing and Cost Advice →
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Azure Data Factory is rated 8.0, while Oracle Autonomous Data Warehouse is rated 8.6. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". 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". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Apache Hadoop. See our Azure Data Factory vs. Oracle Autonomous Data Warehouse 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.
