PostgreSQL vs. SAP Adaptive Server Enterprise (ASE)

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.

Incentivized

High-performance, high-concurrency transactions are well suited for ASE. ASE is lacking some features in my opinion such as history tables, however there are ways to implement them via workarounds or by using Replication Server. I do think the way the ASE parser and optimizer works are far superior to other products as it is a true cost-based optimizer and the order of the tables in the FROM clause does not really matter although a good SQL coder will place the tables in a meaningful order to make the SQL more readable. ASE is good for applications that require high availability and can be used for mission critical systems.

Incentivized

• Advanced spatial capabilities by using PostGIS extension
• Very fast data processing and support of native ANSI SQL language syntax allows maintaining capability and scalability of database
• Fast data aggregation, even by SQL or stored routines/functions
• Well documented, free for use, great community. A lot of examples, and for this reason - lesser threshold for junior developers to start with

Incentivized

• Easy to setup and maintain
• Reliable, rarely has major hiccups requiring reboots or crashes
• Very responsive with complicated queries spanning various tablespaces and hundreds of millions of rows

Incentivized

• 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).

Incentivized

• Full database encryption - need to utilize external keys vs internal - for better separation of duties.
• History Tables.

Incentivized

As a needed software for day to day development activities

Incentivized

Our licenses are perpetual. It is the support that we will be renewing. We will renew because we continue to use and receive value from the product.

Incentivized

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.

Incentivized

It does almost everything we need and for the things it doesn't do natively, we are still able to do using other features. For example, natively history tables weren't supported but we were able to create them using triggers.

Incentivized

PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.

Incentivized

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.

Incentivized

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.

Incentivized

Incredibly responsive, saving us countless hours in troubleshooting.

Incentivized

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.

Incentivized

The online documentation of the PostgreSQL product is elaborate and takes users step by step.

Incentivized

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.

Much less effort than Oracle. Much better customer support than Oracle. Roughly equivalent to SQL Server in performance and ease of use. Much better customer service than SQL Server. Different ballpark from IQ. Same customer service.

Incentivized

The DB is reliable, scalable, easy to use and resolves most DB needs

Incentivized

• 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.
• It's free. You can't beat that.

Incentivized

• Negative - Costs a lot ... but so do they all.
• Positive - It does what we need it to do.

Incentivized