Announcing FUJITSU Enterprise Postgres 10, the latest release of enhanced PostgreSQL for enterprises seeking a more robust, secure, and fully supported edition.

FUJITSU Enterprise Postgres 10 has been designed to deliver the Quality of Service (QoS) that enterprises demand of their databases in the digital world, while supporting the openness and extensibility expected of open source platforms, all at a lower cost than traditional enterprise databases.

It is an enhanced distribution of PostgreSQL, the open source database platform, with improvements to support enterprise-level workloads and provide improved Deployment and Management, Availability, Performance, Data Governance and Security, above and beyond the standard community edition of PostgreSQL.

More information regarding PostgreSQL 10.3.

Five Key Capabilities for Today's Enterprise Workloads

Dedicated Audit Logs

  • Dedicated audit logs help prevent security threats
  • All PCI DSS (Payment Card Industry Data Security Standard) compliant
  • A flexible and efficient way to accurately monitor logs

FUJITSU Enterprise Postgres provides dedicated audit logs that are compliant with all PCI DSS (Payment Card Industry Data Security Standard) requirements. Audit logs can be used to counter security threats such as spoofing, unauthorized access to the database, application manipulation, and misuse of privileges.

PostgreSQL outputs audit log records to the server log only, which makes operation and analysis complex (since some logs, such as SQL runtime logs, do not output the schema name) and time-consuming (because output criteria cannot be specified, and since log volumes can be large, performance will deteriorate). On the other hand, FUJITSU Enterprise Postgres audit logs allow a flexible and efficient way to accurately monitor logs.


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High-Speed Backup/Recovery

  • Business continuity is critical in today's business
  • Enables backup/recovery of clusters and selected tablespaces
  • You specify any copy method you prefer

The backup/recovery utility now enables backup/recovery of clusters and selected tablespaces using any copy method specified by the user, to replace the conventional, file-level copy process and allow TB-scale operations.

The pgx_dmpall command and the pgx_rcvall command can now perform backup/recovery using user exits, which can redirect the process to use high-speed copy technology.

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High-Speed Data Load

  • Load as much large data as possible
  • Uses several parallel workers
  • Simultaneously perform data conversion, table creation, and index creation

FUJITSU Enterprise Postgres offers the ability to load large volumes of data using as many parallel processes as possible, given the number of cores and CPU availability. Data load features of other database systems can only use a fixed number of parallel process, regardless of CPU availability.

In an era of mission-critical systems that are able to take advantage of multi-core technology, this is not the optimal solution. FUJITSU Enterprise Postgres high-speed data load sends data from the input file to several parallel workers, each of which will simultaneously perform data conversion, table creation, and index creation.

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BigData & NoSQL Extensibility

  • Extends to augment business application with BigData Queries
  • Native NoSQL support
  • Enabled for PostgreSQL extensions

Data professionals are under pressure to adopt NoSQL-only solutions to cater for Big Data. No need. FUJITSU Enterprise Postgres lets you have the best of both world's by supporting a wide range of unstructured and semi-structured data to power even all types of applications across your business.

Availability, Reliability & Performance

  • Enterprise hardened and resilient
  • High performance availability
  • Cross data centre active disaster recovery

Data integrity and operational continuity are paramount for any organisation. FUJITSU Enterprise Postgres mitigates the risk through data redundancy across physical hardware and reliably coordinating this distributed data during automated fail-over and recovery processes.

In-Memory Analytics

  • In-Memory Accelerated Hybrid Transactional Analytical Processing (HTAP)
  • Accelerates both Business Intelligence and Data Warehousing applications
  • Integrated data science capabilities with embedded Python

Organisations are finding it increasingly difficult to respond to business analytics requirements while maintaining operational performance. This issue exists because most data architecture is built with online transaction processing (OTP) in mind, which is not suitable for efficient online analytical processing (OAP).

The result is enhanced speed in one type of processing at the expense of the other. FUJITSU Enterprise Postgres has solved this dilemma with its implementation of In-Memory Column Store.

Global Fujitsu Support

  • Enterprise hardened and resilient
  • High performance availability
  • Cross data centre active disaster recovery

When access to data is business critical, put our highly skilled software support engineers on your side with a subscription to the Fujitsu PostgreSQL 24/7 Support Plan.

Lower Cost of Ownership

  • License costs are lower than traditional RDBMS vendors
  • Annual subscription pricing with no upfront license charges
  • Zero lock-in compatibility with other PostgreSQL application language

With the advent of open-source technology, there are now viable, high-performance alternatives to proprietary databases. The decision to change platforms presents an exciting opportunity to reduce the total cost of ownership (TCO).

Subscription-based pricing models offer a flat rate over the life of an Agreement, with minimal installation costs. Compare that with a proprietary model and the savings are astonishing, freeing-up your budget for other resources.

Governance & Data Privacy

  • Data Masking & Custom Redaction capabilities
  • Encryption is applied to secure data with confidence
  • Secure Monitoring of user activity

Download the Brochure

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