Why I picked Postgres over Oracle, part II


Continuing this short series of blog posts on some of my drivers for moving to Postgres from Oracle.
Please do read Part I of the series if you have not done so. It discussed the topics “History”, “More recently” and “The switch to Postgres”.

Realization

In the last months, discussing Postgres with my Oracle peers, playing with the software and the tooling, I actually quite quickly realized Postgres is a lot cooler, at least to me. Not so much of the overly complicated technology, but rather built to be super KISS. The elegance of simplicity and it still gets the job done.
Postgres handles a lot the more complex workloads than many (outsiders) might think. Some pretty serious mission-critical workloads are handled by Postgres today. Well, basically, it has been doing this for many, many years. This obviously is very little known, because who would want to spend good money on marketing  for Open Source Software, right? You just spent your time building the stuff, let somebody else take care of that.
Well… we at EnterpriseDB do just those things, …too!

And, please, make no mistake, Postgres is everywhere, from your fridge and video camera, through TV set-top boxes up to major on-line banking software. Many other places you would not expect a database to (be able to) run. Postgres is installed in places that never get touched again. Because of the stability and the low to no-touch administrative character of Postgres, it is ideally suited for these specific implementations. Structured on some of the oldest design principles around Postgres, it doesn’t have to be easy to create the database engine, as long as it “just works” in the end.
Many years ago, an Oracle sales director also included such an overview in his pitch. All the places Oracle touches everybody’s lives, every day. This is no different for Postgres, it is just not pitched anywhere, by anyone, as much.

I have the fortunate opportunity to work closely together with (for instance) Bruce Momjian (PostgreSQL core team founding member and EnterpriseDB colleague). I also had the opportunity to learn from him some of the core principles on which Postgres was designed and built. This is fundamentally different from many other software projects I know and I feel it truly answers some of the core-requirements of database projects out there today! There is no real overview of these principles, so that’s on my to-do list.

Working with PostgreSQL

Pricing

Postgres is open source… it is true open source. It is even a true community open source project, but more about that later in the next installment.

Open source software is free to use, it does not cost nothing!

But, wait! Open source does not mean for free! How…, why…, what do you mean??

Well… you need support, right!?
The community can and will help you, answer questions, solve some of your problems. But they will not come in to install, configure and run Postgres for you. You will need to select and integrate your specific selection out of the wealth of tools. You basically have a whole bunch of additional tasks to complete to get your Postgres platform sorted out.
Companies like EnterpriseDB can help you mitigate these tasks. This allows you to focus on the things you actually want to achieve, using Postgres

In comparison to traditional database vendors, the overall price of your solution will absolutely significantly reduce when using Postgres as your open source database engine.

Support

A significant difference between Oracle (for instance) and Open Source support services is interchangeability.
In the end, Oracle support can only be given by Oracle. They are the only ones that have access to the software sources and can look up (and hopefully fix) issues. In the support of Postgres, or any true community open source product, different companies can provide support. If you don’t like the company you work with… you switch. This drives these companies to be really good at delivering support! How is that for an eye opener.

Extensibility

One of the superb advantages of Postgres is its native extensibility. I mean, think about it for a moment… having a relational database platform with the strength of Postgres, the strength of Oracle or Microsoft SQL Server for that matter. Postgres gives you more options to integrate a wealth of data sources, data types, custom operators and many more other extensions than you will ever need! The integration into Postgres is so solid, these extensions function like any other function in the core of Postgres.
And, rest assured, chances that you will ever be faced with having to built this yourself are extremely slim. There are 30 to 40 thousand developers working with larger and smaller pieces of code of Postgres. Chances are that if you find yourself challenged, somebody else faced and solved that challenge before you. That solution will then be available for you to take and use, solve your challenge and move on. That is also open source for you.

This capability is what makes Postgres ultimately suited to fit the central role in any polyglot environment, we see being built today.
Maximizing the amount of information from data available in multiple data silos in an organization. This is a challenge we see more and more often today. Integrating traditional  applications as ERP, CRM, with data-warehousing results, again combined with Big-data analysis and event-data-capture aggregates. This generates additional decision-driving information out of the combination of these silos. Postgres, by design, is ultimately suited for this. It saves you for migrating YUGE amounts of data from one store to another, just to make good use of it.
The open source Dogma “Horses for courses” eliminates double investments, large data migrations or transformations, it just enables you to combine and learn from what you already have.

End of part II

A link to part three of this blog post will be placed here shortly.


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