Oracle Exadata vs. Teradata Vantage

• 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

Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.

• 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

• ETL (Extract - Transfor - Load)
• NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
• Teradata GeoSpacial feature
• Bulk reading and writing in huge tables
• MPP capacity already mature
• Temporal Capacity more mature that other solutions
• TASM

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

• Teradata can improve by supporting more native AWS cloud features. Currently if a node goes down the EC2 instance must be restarted. It isn't something that happens frequently but more tight integration with cloud providers like AWS and Azure will allow Teradata to offer truly dynamic scaling.
• Some Teradata features are oversold before they are ready for prime-time. Teradata is not unique in this but if something is sold as an integrated product stack it should really be integrated not something that requires an extensive development cycle to be integrated at a customer's expense. If something is supported it should've really be tested and QAed thoroughly before a customer touches it.

Incentivized

Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.

Incentivized

I am comparing Exadata with the Oracle RAC database experience. In addition to Oracle RAC features, Exadata provides automatic performance optimization through Smart Scan and storage indexes. Deep integration with the Oracle ecosystem and tight coupling with Oracle Enterprise Manager
for monitoring and management. Some downsides of Exadata are: a steep learning curve, concepts like cell offloading, IORM, and flash cache behavior aren’t intuitive initially. Operating
Exadata requires specialized DBA skills.

Incentivized

Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.

We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.

Incentivized

I couldn’t find all the options listed here, so I’m
summarizing the ones we considered during our evaluation before selecting
Oracle Exadata Service on AWS:


Continuing
to use the Oracle RAC on‑premise database
Running
Oracle Database on AWS EC2
Using
Oracle Database through the AWS RDS service


Since we wanted to retain Oracle RAC capabilities while
achieving high performance and maintaining our presence in the AWS public
cloud, we selected the Oracle Database @AWS Exadata service.

Incentivized

Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years

Incentivized

• One of the central critical systems was migrated from a large 4-node Oracle RAC running on legacy hardware. This application was experiencing severe performance issues literally causing loss of service for numerous customers. Once it was migrated to a 2-node Exadata server, its average performance improved almost by a level of magnitude, therefore eliminating any signs of application slowness.
• Numerous application databases were migrated to Exadata servers which reduced the overall cost of hardware due to Exadata's price structure.

Incentivized

• Teradata is been absolutely phenomenal for our project because we feed huge chunks of data to it and get back the desired results in no time which earlier used to take hours to process and then also sometimes timeout.
• We don't have to do any manual intervention for resource or task allocation, it is all taken care by Teradata internally and all the AMP's are given equal amount of work and have their own resources to complete them with no sharing with another.

Incentivized