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.
rating the customer support at ten points out of ten
I have been self-taught and I have been able to handle all my problems alone.
I would rate Oracle support nine or ten out of ten because you can always open a ticket and describe any problems, and the feedback is very quick.
It is a 10 out of 10 in terms of scalability.
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
All enterprise-grade analytics tools allow rapid scaling, making our business more competitive.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
In general, if I know SQL and start playing around, it will start making sense.
There is room for improvement in better integration with third-party tools, such as Power BI or Redshift.
For the cloud version, there could be better storage options or more storage for lower prices.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
Oracle is on the higher end of the pricing spectrum, along with SAP.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
Oracle excels in providing actionable insights and flexible access to data.
The automated provisioning feature helps speed up the database deployment process because you can use one command or option to resize all the disks or increase memory, depending on the occasion.
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
Oracle Database Appliance is the easiest and most affordable way for small or medium-size organizations to run Oracle databases and applications and is an ideal platform for remote and edge computing environments. Customers reduce Oracle Database deployment times and management workloads using a prebuilt integrated system with management automation. As demonstrated in IDC’s business value study (PDF), Oracle Database Appliance lets customers grow revenue and control costs, delivering up to a 498% return on investment (ROI) over five years.
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