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Oracle Exadata

Score10 out of 10

200 Reviews and Ratings

Top Performing Features

+6%

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Cat avg: 9.4

+12%

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Cat avg: 8.9

+6%

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Cat avg: 9.4

+16%

High-Volume Data Processing

The product's ability to efficiently process large amounts of data.

Cat avg: 8.6

Worst Performing Features

+2%

Administrative Automation

The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

Cat avg: 6.9

+9%

Data Warehouse Management

The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

Cat avg: 9.2

+52%

Self-Optimization

The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

Cat avg: 6.6

Oracle Exadata Features from Reviews

Access Control and Security

Access control means being able to determine who has access to which data.

10+12%
  • Multi-User Support (named login)

    Named model access means that users have access based on name and password.

    Category average: 9.4

  • Multiple Access Permission Levels (Create, Read, Delete)

    Multiple access permission levels means that different levels of users have different rights.

    Category average: 8.9

  • Single Sign-On (SSO)

    Allows users to use one set of login credentials to access multiple applications

    Category average: 9.4

Data Warehouse

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

9.3+17%
  • High-Volume Data Processing

    The product's ability to efficiently process large amounts of data.

    Category average: 8.6

  • Data Warehouse Management

    The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

    Category average: 9.2

  • Administrative Automation

    The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

    Category average: 6.9

  • Self-Optimization

    The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

    Category average: 6.6