Db2 vs. PostgreSQL

I have primarily used it as the basis for a SIS - but I have migrated more than a few systems from there database systems to DB2 (Filemaker, MySQL, etc.). DB2 does have a better structural approach, as opposed to Filemaker, which allows for more data consistency, but this can also lead to an inflexibility that can sometimes be counterintuitive when attempting to compensate for the flexibility of the work environment as Schools tend to have an all in one approach.

Incentivized

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

• DB2 maintains itself very well. The Task Scheduler component of DB2 allows for statistics gathering and reorganization of indexes and tables without user interaction or without specific knowledge of cron or Windows Task Scheduler / Scheduled jobs.
• Its use of ASYNC, NEARSYNC, and SYNC HADR (High Availability Disaster Recovery ) models gives you a range of options for maintaining a very high uptime ratio. Failover from PRIMARY to SECONDARY becomes very easy with just a single command or windowed mouse click.
• Task Scheduler ( DB2 9.7 and earlier ) allows for jobs to be run within other jobs, and exit and error codes can define what other jobs are run. This allows for ease of maintenance without third party softwares.
• Tablespace usage and automatic storage help keep your data segmented while at rest, making partitioning easier.
• Ability to run commands via CLI (Command Line Interface) or via Control Center / Data Studio ( DB2 10.x+) makes administration a breeze.

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

• everything about Db2 is 'heavy', even the Community edition and some of the clients
• difficult to configure for beginners /option overload
• LUW and z platforms have minor inconsistencies that really should be a non-issue
• support seems to be declining in terms of quality/quickness of responses

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

The DB2 database is a solid option for our school. We have been on this journey now for 3-4 years so we are still adapting to what it can do. We will renew our use of DB2 because we don’t see. Major need to change. Also, changing a main database in a school environment is a major project, so we’ll avoid that if possible.

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As a needed software for day to day development activities

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You have to be well versed in using the technology, not only from a GUI interface but from a command line interface to successfully use this software to its fullest.

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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

I have never had DB2 go down unexpectedly. It just works solidly every day. When I look at the logs, sometimes DB2 has figured out there was a need to build an index. Instead of waiting for me to do it, the database automatically created the index for me. At my current company, we have had zero issues for the past 8 years. We have upgrade the server 3 times and upgraded the OS each time and the only thing we saw was that DB2 got better and faster. It is simply amazing.

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

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The performances are exceptional if you take care to maintain the database. It is a very powerful tool and at the same time very easy to use. In our installation, we expect a DB machine on the mainframe with access to the database through ODBC connectors directly from branch servers, with fabulous end users experience.

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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.

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Easily the best product support team. :) Whenever we have questions, they have answered those in a timely manner and we like how they go above and beyond to help.

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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.

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the material was very clear and all subjects have been handled

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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

db2 work well with the application, also the replication tool can keep it up

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

Incentivized

With the other two mentioned above, I needed to have processes and frameworks that executed outside of the environment driving DB management operations. Yes, these are completely different solutions; however, the support you get for framework, library, and language support allows for runtime at a different layer than with other solutions.

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.

DB2 can be configured and can work with a variety of applications as opposed to how it was designed initially to only with with IBM mainframes. It's easy implementation process makes it a good buy for many organizations to scale their applications to be the best in terms of versatility, resilience and application performance

Incentivized

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

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• Time efficiency is the major point to highlight, especially the minimal time this takes while querying a larger set of data.
• Reliability becomes another major factor as the application can be accessed at any point in time.
• Users might initially find it challenging to use the application.

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