FUJITSU Software Enterprise Postgres PostgreSQL-based Relational Database with Enterprise Quality

FUJITSU Enterprise Postgres is an open source-based, high-reliability, cost- effective relational database management system. It enables businesses to lower their database cost of ownership significantly by reducing license and ongoing support costs.

FUJITSU Enterprise Postgres leverages PostgreSQL, a feature-rich open source database management system, used by millions of users globally, enabling integration with a wide range of software, information utilization systems, development tools, and application runtime environments. By further enhancing key features, Fujitsu delivers a flexible solution that achieves high reliability and asset protection that is aligned with your data management strategy.

Open Source Value

Easy and cost-effective migration FUJITSU Enterprise Postgres has been designed to be fully compatible with open source PostgreSQL databases and also offers enhanced compatibility when migrating from existing DBMS systems. The migration process has been significantly streamlined so that budget restraints and business disruption are no longer a concern.

Enhanced system integration The utilization of PostgreSQL technology enables integration with a wide range of software, information utilization systems, development tools, and application runtime environments - meaning that investing in additional software systems is no longer a consideration. In addition, retaining existing software products expedites user uptake.

FUJITSU Enterprise Postgres employs a minimal setup process that performs dynamic hardware resource detection during installation and the software is automatically tuned with the customer’s server configuration.

Enterprise Quality

Smart recovery If a database problem occurs or if data is accidentally deleted, recovery is performed with a single click, avoiding the need for technical intervention.

Redundancy and secure data encryption Redundancy and secure data encryption (PCI-DSS compliant 256-bit encryption) provides high reliability and asset protection that is aligned with your data management strategy.

Data is automatically encrypted and decrypted as it is written and read. Therefore, manual key management and encryption or decryption is not required. This is called Transparent Data Encryption (TDE). With TDE, you can encrypt the application data without having to modify the application.

Data masking Data masking is the obscuring of data in a database. FUJITSU Enterprise Postgres uses masking policies to obscure data returned from queries, making it available for reference without exposing the actual data. Data masking makes it safe to use production data in a test or development environment.

High availability options FUJITSU Enterprise Postgres has the flexibility to be configured to meet all the HA requirements that an organization might have. You can utilize the many open source and third-party products available, maintaining that flexibility to modify storage architecture.

High reliability and performance DB Mirroring Controller: If a database problem is detected, operations are automatically redirected to the standby server, without the need for human intervention.

Vertical Clustered Index (VCI) (*): This feature enables faster analytical query processing by storing a columnar representation of row-oriented data in memory - queries run up to 50 times faster than before depending on the environment.

* VCI is a technology of Fujitsu Laboratories Ltd. This feature is available only in the Advanced Edition of FUJITSU Enterprise Postgres.

Fujitsu support Fujitsu has been developing enterprise databases, including mainframe, for over 35 years. Based on experience and expertise in enterprise systems, Fujitsu provides the enterprise-class support that ensures high-quality, long-term support that meets a wide range of business requirements.

Note: What is PostgreSQL? PostgreSQL is one of the world’s most advanced databases, with a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness.

Published: 2017-08-24 WW EN

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