PostgreSQL vs. Quixy

PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.

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Quixy BPM for managing business processes distinguishes itself through its user-friendly interface and the absence of any coding requirements. This makes it an ideal solution for companies looking to streamline their operations. Quixy BPM is suitable for businesses of all sizes and represents a cost-effective way to save time and effort.

• It works well with external data sources and runs on platforms with stable performance.
• Clients can rest assured that their personal information will be safe and secure.
• Many forums discuss setup and usage, and most are free.
• Adding tooling applications to a computer is unlimited.
• PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.

• Forms Automation: Quixy helps us in developing forms within minutes and hours with simple drag and drop.
• Report Builder: The report builder tool allows you to generate customized reports based on the data collected available in various data sources.
• Integration: Integration with external systems through API's.

• Clearer indications on what is the query plan, to optimize the query
• More out of the box, Postgres specific, SQL functions
• It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used

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• Better UI/UX will take the platform to next level.
• Application Library: Having base versions of frequently used applications in the app library helps the users to build applications quickly.
• Having more online help content will help the users to resolve the issues on their own.

As a needed software for day to day development activities

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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.

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Quixy has allowed us to focus on more important tasks, as the platform takes care of labor-intensive administrative work. The automation of various processes has been invaluable, as it has saved us a considerable amount of time and resources. Overall, Quixy has transformed our administrative work and has enabled us to allocate more resources to critical tasks, leading to better outcomes for our organization.

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 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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There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.

But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.

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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.

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

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Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.

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While Excel is a powerful tool for organizing data and creating basic inventory spreadsheets, it lacks the automation and integration capabilities that Quixy provides. Also, we can integrate with other business systems, such as accounting and order fulfillment systems. So, we can actually have centralized system connected across several departments for automation.

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

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• 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.

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• Faster Digitalization (time is money)
• Step by Step and independent transition for every department
• Automation of 70% of our manual process till date and counting