Progress OpenEdge is an application development environment to keep businesses running, that enables users to leverage technology advancements to more quickly deliver business applications.
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PostgreSQL
Score 8.3 out of 10
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PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.
Openedge is very well suited for financial based applications for 2 reasons. First, it has very powerful transaction scoping that will commit or back out of all changes in a transaction at once. This ensure that your data is "in sync." Second, it offers after imaging roll forward and replication for environments that require high availability or powerful disaster recovery in place.
PostgreSQL is ideal for handling databases that contain large volumes of information due to its efficiency, speed and above all because of the good management it makes of our resources, it also behaves very well in distributed environments of high demand, if you want a database of stable data and excellent performance PostgreSQL is one of the best.
Openedge databases are practically bulletproof, even when shot down abnormally. The offer complete transaction scoping, before imagining, and also after imaging for roll foward capability.
Openedge has a very powerful and easy to learn 4GL programming language that can be used in a traditional or object oriented manner.
Openedge also has powerful web services components, fully integrating both SOAP and RESTful web services.
Openedge is completely scaleable from 1 user to a fully distributed global enterprise solution.
The performance of PostgreSQL has been enhanced through the years, but always is better to have as much performance as we can.
The replication services could be done directly within the database, and more easily.
The Object Orientation of the Database could be extended, and albeit it manages inheritance of tables, and accepts XML and JSON as primary types, it would be wonderful if one could attach methods more easily to tables (to make them more like classes), and instances (rows for example).
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
AWS, Heroku, and Digital Ocean all provide Postgres-as-a-service, where you pretty much never need to administrate it yourself but they do it for you. The Postgres community also has developed awesome and reasonably priced extensions, such as Citus DB and CockroachDB in case you need additional support for running it. If you need documentation, Postgres's docs are super thorough and their official forms are active.
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
The decision to use openedge with our particular product was made such a long time ago that I certainly was not around to make the decision. And most of the other products that would have been compared at the time are likely no longer around. Which does speak to the longevity and benefits of this product. When you look back and see how long the same product has been going forward with constant improvements and remaining relevant without major disruptive changes, it is worthy of some credit.
In this case, Postgres is preferred because it handles large data sets and requires fewer hardware resources than its competitor, MySQL. Compared to PostgreSQL, Microsoft products are excellent, but the installation process for MS SQL is lengthy. PostgreSQL has an advantage over its competitors in that it can adapt or configure third-party programs, applications, or settings.
Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
