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5 Common Pain Points in PostgreSQL

9/10/2024Updated 10/17/2025
https://dev.to/seasonedcc/5-common-pain-points-in-postgresql-admin-panels-40na

# 5 Common Pain Points in PostgreSQL #postgres #database Before building Flashboard (our PostgreSQL admin app), our development team had struggled with a lot of stuff that you might've encountered in your PostgreSQL journey. I'm not just talking about tracking foreign keys or building extra-complex SQL queries, but also finding a way to make data editable for non-technical folks without needing to build an entire new software to support the *main thing* — after all, the *main thing* is where the core of the work should be, right, Project Owners? … ## 1. Time-Consuming Query Creation Building SQL queries is fun — until it isn't. It's like RegEx — you get that big, broad smile when it works, but after the 10th time you just hit ChatGPT and ask it to build it for you. It becomes tiresome, error-prone, and, mainly, time-consuming. The *f-in-fun* becomes *f-in-frustration* when you have to redo it all because you got a new client. ## 2. Navigating Foreign Keys A good PostgreSQL database probably has a lot of foreign keys — and that's a green flag in architecture design... or at least that's what the architects say. When the developers need to navigate the schema, jumping from one related table to the other, things get confusing — you gain database-performance in exchange for developer-speed. ## 3. Handling JSON Data I know the feeling of working with JSON in PostgreSQL. Saving data this way saves time and space, but it's waaaay too difficult to query it. You need special operators and functions, and when you’re working with nested structures, it’s easy to mess something up. ## 4. Creating Secure Interfaces for Non-Tech Teams You might need to give access to the database to non-technical users — sometimes there's no time to build a feature in the *main app* or there's no proper admin panel setup for them. This is hard work — it’s not just about making sure they don’t break anything, but also ensuring sensitive data stays locked down. Building a secure admin interface means juggling encryption, access control, and usability — when you notice it, you are building a secondary software as hard to maintain as the primary one. ## 5. Scaling Custom Admin Solutions Continuing from the last topic: what starts as a simple admin panel for a small team can quickly balloon into a mess as your user base or data grows. Suddenly, you’re dealing with performance issues, broken queries, and features that no longer work as expected. Scaling a custom solution is a beast of a task, and unless you planned for it from day one, you’ll probably need to rebuild a good chunk of it down the road.

Related Pain Points5

Scaling custom admin solutions causes cascading failures

8

Custom admin panels that work for small teams degrade rapidly as the user base or data grows, leading to performance issues, broken queries, and unexpected feature failures. Significant rebuilding is often required if scalability wasn't planned from day one.

performancePostgreSQL

Building secure database access interfaces for non-technical users

7

Creating secure admin panels for non-technical users requires juggling encryption, access control, and usability concerns. The complexity rivals building a secondary software system, making it difficult to maintain alongside the primary application.

securityPostgreSQL

Time-consuming and error-prone SQL query creation

6

Building complex SQL queries is tedious, error-prone, and time-consuming. Developers frequently resort to AI assistance rather than writing queries manually, and must often redo work when requirements change or new clients appear.

dxPostgreSQLSQL

Complex querying of nested JSON data in PostgreSQL

5

Working with JSON data in PostgreSQL requires special operators and functions that are difficult to use, especially with nested structures. While JSON saves time and space, querying it is error-prone.

dxPostgreSQLJSON

Difficulty navigating complex foreign key relationships

5

Developers struggle to navigate database schemas with many foreign keys, jumping between related tables creates confusion and slows development speed even though foreign keys improve database architecture and performance.

dxPostgreSQL