The different parts of an enterprise have different, yet interdependent requirements for their database choices. DevOps, for instance, will want to stress their need for a continuous development cycle, and may be increasingly interested in containers — better yet, containers in the cloud.

Operations will be more focused on business resilience in the form of high availability and backup. Data security and the ability to document the ways that data is held and protected will be paramount not only to Operations, but data governance officers too.

Those involved in strategic planning will be looking for agility and the ability to scale quickly. This group will also look for ways in which the discrete and siloed database systems can be interconnected to create a data lake that will be the basis of more accurate information, predictions, and possible outcomes.

In reality, every database management system will have its proponents, from the aged DB2 installation, through Microsoft SQL, NoSQL variants – to live production relational databases.

While there’s no “one ring to rule them all”, organizations are adopting Postgres (PostgreSQL) to support scalability. Postgres is considered to be among some of the most suitable variants for mission-critical applications, secondary applications, and offers the kind of resilience, extensibility, and scalability required by IT.

By using Postgres’s inherent abilities (like its OLTP capabilities) plus the additional management and tool extensions from EnterpriseDB, organizations can address major functional requirements at the developer and IT department level.

While it’s tempting to simply bullet-point a feature comparison between EnterpriseDB Postgres and PostgreSQL, it’s probably more interesting to our readers to touch on some of the features in the EnterpriseDB stack that many users have noted (it’s in use by around 20 percent of the Fortune 500).

The first point worth noting is that EnterpriseDB is based on open source PostgreSQL. In addition, the team at EnterpriseDB are active and respected members of the PostgreSQL community, and the staff includes the co-founder of the Postgres Global Development Group, plus community leadership.

The company is proud of its policy to up- and down-stream much of its work. It earns its income by support, management and migration tools, and providing connecting technologies that can bridge between legacy, yet business-critical data sources. Its extensive experience and skills include containerized DB methods, hybrid schema and much more.

Postgres is known for its advantages in agile DevOps use (with support for relational, document, and key-value data models), and its availability as a viable and quick install on standard platforms, with a predictable and non-specialist interaction with underlying OS.

Its ability with both structured and semi-structured data means it’s the perfect main management point for NoSQL and SQL instances, plus the EnterpriseDB EDB Replication Server not only provides powerful single or multimaster replication but can help with the cost and complexities of licensing add-ons from the likes of Oracle, when replicating from remote DBs, to name but one example.

True, many of EnterpriseDB’s customer base does come from those wishing to untie themselves from knotty licensing issues, and with an ROI that’s significantly quick, the financial aspect is an understandable driver. Beyond that, however, the EnterpriseDB Postgres Enterprise Manager (PEM) is just the first place that interested parties will wish to consider, acting as it does as a powerful focal point for database monitoring and management.

There’s a justifiable cynicism from IT departments when presented with a tech offering that claims to cure all ills, and EnterpriseDB are careful not to make disingenuous claims. But as developers and users of Postgres, the EDB platform is a practical, real-world and enterprise-scale solution that comes with powerful migration tools for a full or partial to PostgreSQL.

If your database professionals are keen to deploy Kubernetes pods with multiple Postgres instances, either on-prem or in public clouds (or a mixture), then the company will probably have seen and consulted on a similar use case and topology. Postgres is, of course, capable of running in microservice environments, but less bleeding-edge deployments are of course supported with the type of extensibility and utility that only the value-adds from EnterpriseDB bring at viable investment levels.

Running large clusters of databases at an enterprise level across production, testing, and development functions could be a massively complex affair, well capable of gobbling up resources (especially human-shaped resources). With the suite of tools, connections and utilities available as part of PostgreSQL, and extended by EnterpriseDB, the transition to a less limiting, more agile structure is made easier to a huge degree.

Starting with initial migration, and several powerful options & conversion tools through to backup*, EnterpriseDB provides the go-to platforms that modern database professionals can use, day in day out, and thereby become a more responsive resource for the entire enterprise.

* Existing enterprise backup and recovery tools like Veritas NetBackup and Commvault also work with EDB Postgres.

To speak to a representative from one of EnterpriseDB’s worldwide offices, to talk about PostgreSQL’s potential and the different ways EnterpriseDB can help your enterprise on its journey, get in touch with the company’s friendly team located nearby, today.