FUJITSU Enterprise Postgres trial version

FUJITSU Enterprise Postgres 13 SP1 trial version

Combine the strengths of open-source PostgreSQL with the additional enterprise features developed by Fujitsu to create a data management system with enhanced speed, security and support — without the normal costs associated with most proprietary systems.

It is fully compatible with PostgreSQL and shares the same operation method, interface for application development and inherent functionality.

FUJITSU Enterprise Postgres 13 SP1 trial version:

• High-speed query processing and improved performance for large data sets through the parallel scan and aggregation and in-memory features, enabling HTAP workloads
• Secure 256-bit transparent data encryption (PCI-DSS compliant)
• Data masking for increased data security
• High-reliability database operation through database multiplexing
• WebAdmin (GUI for quick and easy setup, cluster management, and one-click backup and recovery)
• Trial period (90 days)

FUJITSU Enterprise Postgres 13 on IBM LinuxONE™ trial version

Trial a fully-featured version of FUJITSU Enterprise Postgres 13 on IBM LinuxONE™ for 90-days, a world-class platform that embraces open source and improves data security, performance, and business continuity for your organization. 

It gives you the best of open source flexibility with the peace of mind that comes knowing that it is backed by 2 industry giants, Fujitsu and IBM.

FUJITSU Enterprise Postgres 13 on IBM LinuxONE™ trial version:

• Transparent Data Encryption and Data Masking, with IBM LinuxONE™ CryptoCard integration with data privacy encryption for DevSecOps
• 3.9x+ faster HTAP workloads in large data sets with Vertical Clustered Index and in-memory analytics acceleration. 8.4x times faster bulk data load
• 99.999% availability, with Disaster Recovery, Mirroring Controller and Redundant Array of Independent Memory to meet High Availability requirements
• Robust architecture that can run production workloads using commercially-licensed Linux software side-by-side with open source workloads