Oracle Exadata vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

• First, get the database on Oracle. If you are in an Oracle stack, it would be much better to use the Oracle products. If you are driving a Ferrari, you wouldn’t put a Mercedes engine in it. If you are writing a query, you cannot rely on other brands. Since I'm an architect, when I look for a product, I look for performance.
• The installation is easy because it comes out-of-the-box and you just start using it.
• Previous to Oracle Exadata, we were using a normal Oracle RAC service. We were just waiting for this product to come out.
• I'm currently writing a data warehouse on Exadata. Before this solution, we were aiming for this to be completed by 8 a.m., when our ETLs would finish. With the help of Exadata's special features, this was reduced to 3 a.m. This solution allows us to bring more data within the same time period. It provides us with more subject areas that provide more reports to our users. Our ETL times reduced to 65%, then to 50%.

Incentivized

If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.

Incentivized

• Customize-able for specific functionality optimized for combination of online transaction or analytical processing.
• Ability to serve mix workloads with resource management feature enables prioritizing allocation for certain workload.
• Scale-able on-premise with compatibility for cloud deployment offers flexible solution for organization considering to transition from on-premise solution.

Incentivized

• Apache MADlib provides popular machine learning functionality.
• Allows you to query terabytes of data databases.
• Interoperability for AWS S3 is effortless.

Incentivized

• Patching can often become quite involved and convoluted. It should be more transparent and straightforward.
• Storage metrics can be difficult and time consuming to obtain.
• Basic administrative functions can be hard to repair when discovered.
• Vendor support can take a while to obtain. Generally several attempts are necessary to reach the right area of vendor expertise.

Incentivized

• Running on Azure is a little more difficult.
• Synchronization with Kafka may be a little easier.

Incentivized

Excellent machine for your database needs . Don’t have to think twice if you have the budget to own it

Incentivized

They were very helpful. We needed support for initial implementation.

Incentivized

A unique architecture of Oracle Exadata machine which consists of several components: compute, storage cells with offloaded SQL processing within the cell, smart cache. In addition it is an Oracle RAC server with high speed interconnect between its built-in nodes.

Incentivized

• Single support from a single vendor with both machine and database from Oracle, which is costing us less.
• With Exadata, we need less technical manpower and less technical support. A business transaction with the integrated and centralized database helps us focus on other business needs.
• We don't need to buy additional licenses and Hardware for the next 3 to 5 years.

Incentivized

• There was a noticeable reduction in system reliability.
• Saw a reduction in unsuccessful analytics operations.

Incentivized