Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it.
I used Informatice and ODI. While Informatica provides more functionality, it is a very expensive tool. Oracle Data Warehouse gives lots of same functionality at a fraction of a cost (or free with enterprise Oracle db license)
Reason to select Oracle Data Warehouse are mentioned below: 1. If some of your old process are already setup using Oracle Data Warehouse 2. High user community, which make solving doubt using internet very easy
Since our core was Oracle ERP Cloud, we were looking for a cloud data warehouse solution from Oracle. Autonomous Data Warehouse perfectly fit that need and has already provided us with the results. Our CSM and the readily available support helps us to resolve issues and find …
In my personal opinion, Amazon Redshift is much better than Oracle Data Warehouse in two main ways. First, it's in the Cloud which eliminates the need to purchase and maintain dedicated hardware. Second, the pricing models for Redshift are far more flexible and affordable. …
Patching with Oracle Autonomous Warehouse is a breeze. With Teradata patching is a pain. Also Oracle Autonomous Warehouse is more cheaper than Teradata warehouse. Flexibility is another major factor for anyone considering Oracle Autonomous Warehouse. Extract Transform and Load …
Oracle is, in my opinion, the top dog in this space. I feel like the other vendors are playing catch-up to where Oracle is right now. It is also likely the most expensive option out there.
Our organization adopted Oracle almost 20 years ago and there were a few options at that time. Oracle was the leading database tech company at that time and it was a safe choice to us. And they have been evolved and always ahead of new technologies, high performance, and …
Hadoop still being a naive field, we have very few expertise with great knowledge in Hadoop. Oracle Data Warehouse does not support unstructured data, where as Hadoop does. There are a lot of functionalities which Oracle Data Warehouse provides, which makes us us not to go for H…
Oracle DWH is a pure warehousing tool and does not try to include outside features into itself, unlike a few other warehousing platforms. This makes Oracle DWH much simpler to set up and ready to use.
On the other hand, most other warehousing platforms can provide slightly …
Oracle data warehouse has the capability of running both the Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) databases on the same platform. This capabilities cannot be handled by other datawarehouse like TeraData. This capability helps Oracle to …
Oracle Data Warehouse became immediate selection whenever we were implementing BI solutions with Dimension Modeling and Oracle based Transactional Systems, compared to other places where we used Teradata and Netezza with 3NF model structure for BI solutions. For other various …
Oracle is a lot cheaper than traditional data warehouse appliance solutions, even if you get an expensive DBA who knows what he/she is doing. It definitely takes a lot more work to ensure it scales as your data size grows. While it won't scale past the terabyte sized data sets, …