Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and mixed workloads run faster. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency.
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Verified User
Engineer in Information Technology (10,001+ employees employees)
Use Cases and Deployment Scope
One of the motivations for using Oracle Exadata is its availability on AWS as a cloud service. Oracle Exadata service is available on AWS as the Oracle Database@AWS service. Because we are already using Oracle RAC in the On-premises Data Center, we wanted similar multi-node Oracle RAC availability in AWS/Azure. We have been using the Oracle database features extensively in
our products. With growing customers, data, and transaction volumes, we are seeing Exadata as a workload beast that provides the best Oracle database performance optimization. Because Oracle Exadata comes with a large number of machines and storage, database consolidation has been another reason to choose it.
Pros
Engineered system, well optimized for running Oracle database.
High Availability and Scalability.
Database Performance.
Huge size of Hardware like CPU, RAM and storage.
Cons
Exadata comes as an appliance so doesn’t support much customization.
I couldn’t install the latest python version on this machine.
Better Oracle support.
Return on Investment
Provides Oracle RAC capability running in the Public cloud like AWS, Azure.
Best-in-class appliance to run the Oracle workload, which provides performance, scalability, and high availability.
However, Exadata is expensive very service, it takes several years to get ROI.
One should be careful about moving to Exadata, as most use cases can be solved with Oracle RAC.
Usability
Alternatives Considered
Oracle Autonomous Transaction Processing, Oracle Cloud Infrastructure and Oracle Database
Other Software Used
Amazon Aurora, Amazon CloudWatch, Amazon Elastic Kubernetes Service (EKS), Amazon Relational Database Service (RDS), PostgreSQL, Percona Distribution for PostgreSQL
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Senior Database Administrator in Information Technology at Pharma Product Development (5001-10,000 employees employees)
Use Cases and Deployment Scope
We used Oracle Exadata to consolidate our enterprise databases on single platform . It provides low latency , excellent performance for any kind of applications. Both OLTP and OLAP application databases were hosted . It provides high redundancy and very good fault tolerance
Pros
Low latency 10X performance
Various compression features
Flexible configuration based on needs
Smart Scan , Flash storage , Storage indexing
Cons
Too expensive
Integration with third party
Return on Investment
Pretty expensive
Best to consolidate all our databases in one machine
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Retiree (10,001+ employees employees)
Use Cases and Deployment Scope
Various database servers for Healthcare applications. Use cases span from typical transactional systems to data warehouse and analytics. Important criteria: database performance, data safety, 24x7 non-stop operations, High Availability. These are critical for real-time applications serving customers in healthcare industry.
Pros
High speed of SQL operations due to a unique design of Exadata with offloading of SQL processing to storage cells
Built-in High Availability of a DB server due to it's base architecture of a multi-node Oracle Real Application Cluster
High overall sever performance due to its use of a proprietary "Smart Cache" feature utilizing a high speed flash memory
Excellent scalability of a DB server by adding cluster nodes as well as expanding it into a network of serially connected clusters
Cons
The process of patching and upgrade of Exadata server components could be improved with a goal to minimize the overall effort, make it fully automated and transparent.
Improved guidelines and possibly more sophisticated tools for sizing of new Exadata servers for migration from old legacy hardware.
Return on Investment
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Marketing Automation Specialist in Marketing at Swinerton (1001-5000 employees employees)
Use Cases and Deployment Scope
Currently, I use Oracle Database Exadata Cloud Service to run an extensive range of enterprise workloads with automation which reduces operational costs and time. Oracle Database Exadata Cloud Service is used across the entire organization, but not in all business units.
Pros
Oracle Database Exadata Cloud Service provides elasticity and scalability.
Consolidation of thousands databases in one unified solution.
It involves less time to run analytics workloads.
Cons
Lack of enough documentation and whitepapers for features.
Return on Investment
Scalability allows us to make rapid decisions by unlocking and connecting insights to business context.
Improving performance through indexing.
Reduce the cost of creating a large data warehouse by compressing uncompressed databases.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Vice President, Chief Architect, Development Manager and Software Engineer in Information Technology at WySTAR Global Retirement Solutions, a Wells Fargo Company (10,001+ employees employees)
Pros
High Speed Computing
History Tables
Cons
Implementation of temporary tables
SQL Developer attempt to convert T-SQL to PL-SQL could be better
Return on Investment
Standardization of hardware
Standardization of software
Alternatives Considered
IBM Db2 Big SQL, SAP HANA and Microsoft SQL Server
Other Software Used
SAP PowerDesigner, Microsoft SQL Server, MongoDB Atlas
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