PostgreSQL on Ubuntu 24.04 LTS

The primary use case for PostgreSQL on Ubuntu  is storing and managing structured financial data extracted from scanned documents through our AI pipeline. When we processed an invoice or a trial balance through our OCR and LLM system, PostgreSQL on Ubuntu  became the persistent layer where all that extracted data lived, including account codes, amounts, dates, and confidence scores from all the models. The FastAPI backend would query PostgreSQL  to retrieve those records, and chartered accountants would use them in the system to validate and map those extracted line items. If someone needed to trace where a particular account entry came from, PostgreSQL  had the complete audit trail and raw extracted data ready to query.

PostgreSQL on Ubuntu integrated seamlessly with the rest of our stack. We used it alongside n8n  automation workflows running on Docker , and those n8n  instances would write processed data directly into PostgreSQL tables. The database became their central hub where financial data flowed through multiple stages of the pipeline, from initial extraction through LLM classification, through trial balance mapping, all the way to final storage. We also leveraged PostgreSQL on Ubuntu’s JSONB columns quite extensively since our LLM outputs were semi-structured JSON. Being able to store those flexible JSON objects directly in the database without needing a separate document store was invaluable. It simplified our architecture and made querying and data retrieval much more straightforward when we needed to filter or aggregate results for reporting.

PostgreSQL on Ubuntu is deployed on-premises on Hostinger  in our organization.

The standout features PostgreSQL on Ubuntu offers were three things. First, JSONB support was huge. Since our LLM pipeline generated semi-structured JSON outputs with extracted fields and confidence scores, being able to store and query that JSON directly in PostgreSQL on Ubuntu without needing a separate document store was a massive win. It simplified our entire architecture. Second was reliability and stability on Ubuntu . We ran PostgreSQL on Ubuntu on a Linux server in production and it was rock solid. We never had unexpected crashes or data integrity issues, even under heavy batch processing loads. The backup tooling with pg_dump also integrated seamlessly into our automated workflows, so we had confidence our data was always safe. Third, indexing and query performance was excellent. When the FastAPI backend needed to retrieve specific financial records or filter by account codes for our trial balance mapping system, queries stayed fast and consistent even as the dataset grew. That performance directly translated to a snappier experience for the chartered accountants using the system, which mattered significantly.

The impact of PostgreSQL on Ubuntu was tangible for our organization. On the reliability front, once we had PostgreSQL on Ubuntu as our structured data layer, we eliminated a lot of manual data validation work. Before that, extracted financial data had nowhere consistent to land, so it was error-prone. With PostgreSQL on Ubuntu in place, we had a clean, queryable store that made validation straightforward. On the metrics side, the full automation pipeline, which PostgreSQL on Ubuntu was central to, achieved a 70% reduction in manual data entry effort for our chartered accountant clients. Instead of manually re-entering invoice or trial balance data, the system extracted it, stored it cleanly in PostgreSQL on Ubuntu, and made it immediately available for review and mapping. That was a massive productivity gain. On cost, we also saw benefits from not needing separate document stores or complex caching layers. PostgreSQL on Ubuntu handled both structured data storage and semi-structured JSON in one place, which simplified our infrastructure and reduced operational overhead. The reliability also meant fewer debugging cycles and data recovery incidents, which translated to less engineering time spent on firefighting and more time on feature extraction.

The way I measured that 70% reduction in manual data entry was straightforward. We tracked the time chartered accountants spent manually entering financial data before and after our full automation pipeline went live. We examined a sample of their typical workflows, such as processing and trial balancing or a set of invoices, and compared how long it took them to do that work manually versus using our system end-to-end. The 70% figure came from that comparison. The system handled extraction, classification, and mapping automatically, so they only needed to do light validation rather than full manual data entry. It was not a rigorous academic study with control groups.

Several things come to mind for improvements in PostgreSQL on Ubuntu. First, the monitoring and observability experience on Ubuntu  could be smoother. Setting up proper visibility into query performance, slow query logs, and connection pool statistics requires additional tools such as pg_stat_statements or external monitoring solutions. It would be helpful if PostgreSQL on Ubuntu shipped with slightly more user-friendly native dashboards built-in, especially for developers who are not dedicated database administrators. Second, native vector similarity search would be valuable. We were doing semantic document retrieval as part of our pipeline, so we ended up using Pinecone  as a separate vector database alongside PostgreSQL on Ubuntu rather than keeping everything in one system. PostgreSQL on Ubuntu has some emerging vector capabilities, but if native vector similarity search were more mature and performant out of the box, it would allow consolidating the architecture and reducing operational complexity. Additionally, full-text search, while functional, required extra configuration for our financial document use case. Having more intuitive defaults for that would lower the barrier to entry for search-heavy applications.

I used PostgreSQL on Ubuntu throughout my time at Radiant Services, approximately one and a half years of hands-on production experience.

PostgreSQL on Ubuntu is stable.

The customer support for PostgreSQL on Ubuntu is quite responsive. When I needed help with my vector search, I contacted them, and they provided substantial assistance.

On the integration side, PostgreSQL on Ubuntu played well with our broader tech stack. The async driver we used, asyncpg, integrated smoothly with FastAPI, so our backend could handle concurrent requests efficiently without blocking on database calls. That was important when we were processing multiple documents in parallel. On extensions, we did not lean heavily into custom PostgreSQL on Ubuntu extensions, but the fact that they are available and well-maintained is reassuring for future use cases. On security, the role-based access control and pg_hba.conf gave us fine-grained control over who could access what, which was critical when handling sensitive financial data for chartered accountants. We could lock down access per application user and audit everything. PostgreSQL on Ubuntu’s strong ACID compliance meant we could trust data consistency, which is non-negotiable when dealing with financial records where accuracy is essential.

I give PostgreSQL on Ubuntu a rating of 8 out of 10. I chose this rating because there are improvements needed, such as native vector similarity search and smoother monitoring and observability experience on Ubuntu, particularly for developers who are not dedicated database administrators.

My advice to others looking into using PostgreSQL on Ubuntu would focus on connection pooling documentation and tooling, which is quite good. If you are building an AI or LLM-based application that produces structured or semi-structured data, which is increasingly common, PostgreSQL on Ubuntu is a genuinely strong choice. It is production-grade, battle-tested, and it handled our financial document processing workloads extremely well. My advice would be to use JSONB columns early if your outputs are schema-flexible, set up connection pooling with pgBouncer from day one, and if you need semantic search, combine PostgreSQL on Ubuntu with a vector database such as Pinecone  rather than trying to consolidate everything into one system.

Also, automate your backups with pg_dump as part of your CI/CD setup from the start. Overall, PostgreSQL on Ubuntu is very good, and I am genuinely impressed with how reliable and performant it was in our production environment. It scaled well for our use case. As our document volume grew over time, PostgreSQL on Ubuntu handled increased load without requiring major architectural changes. Proper indexing and query optimization kept performance consistent, and the fact that it runs efficiently on Ubuntu meant we could scale vertically by adjusting server resources without changing much in our application layer. For teams expecting data growth, which is almost inevitable in AI-driven document processing, PostgreSQL on Ubuntu is an excellent choice.

My main use case for PostgreSQL on Ubuntu  is as a backend database for client web applications, handling relations, data, user records, transactional data, reporting, and queries. It is our default choice for our projects.

One specific example of how I use PostgreSQL on Ubuntu  for one of my client web applications is in a service booking web application, which is for a small business appointment scheduling with customer records. We run it on an Ubuntu  server with PostgreSQL  handling all the data. The database manages three main tables: customers, appointments, and services. We use SQL indexing on the appointment date column to keep queries fast when pulling upcoming bookings. We also use row-level constraints to prevent double booking the same time slot. On the back end, we have a Node.js API connected via the PG driver. Ubuntu  systemd keeps the PostgreSQL  servers running reliably with automatic restarts. We also set up automatic PG dump backups on a cron job nightly to remote locations. We have basically had zero unplanned downtime, so it performs very well.

From our experience, several features that PostgreSQL on Ubuntu offers really stand out, including reliability and ACID compliance. Transactions are rock solid. We never had a data corruption issue, even during unexpected server restarts. JSON support, being able to store and query semi-structured data alongside our relational tables in the same database, is huge. That is a significant advantage. We do not need a separate MongoDB instance for flexible data. Full-text search built right in means no extra service is needed. For smaller projects, it completely eliminates the need for something like Elasticsearch. Extensions, like encryption, UUID generation, and geodata, make the ecosystem very rich. There are no problems, especially with performance. Performance tuning on Ubuntu, being able to edit directly and tune things like the shared buffers, the working memory, and max connections for your exact hardware, is something you cannot do with managed cloud databases the same way. It does not work or come close. Cost is completely free and open source, which is a significant advantage, especially when you want to scale and provide this quality database to many customers. It is cost-effective to manage database services, especially for smaller to mid-sized client projects. The combination of PostgreSQL features' depth with Ubuntu stability is a no-brainer. Open source means zero cost, which is fantastic.

PostgreSQL on Ubuntu could be improved with easier out-of-the-box configuration. The default settings for PostgreSQL on a fresh Ubuntu install are very conservative. Things such as shared buffers and work memory are too low for any real production workloads, and you have to know how to go in and tune it manually. A smart default configuration wizard during installation that detects hardware and suggests settings would save a lot of junior developers from performance headaches. That is important.

Built-in connection pooling is another area; PostgreSQL does not handle large numbers of concurrent connections well natively. You end up needing to set up PG Bouncer separately, which is another tool to learn, configure, and maintain. Having a lightweight connection pooler built into the core installation would be a real quality-of-life improvement. Additionally, a better built-in monitoring UI would help. Primarily, if you are working with Ubuntu, you are largely working with PostgreSQL on the command line and installing third-party tools such as pgAdmin or Adminer. A lightweight built-in web dashboard for basic health monitoring would improve projects significantly.

Finally, upgrades between major versions and smaller versions should be a lot easier as well. None of these are deal-breakers; they are just nice to have improvements.

I have been using PostgreSQL on Ubuntu for ten years.

PostgreSQL on Ubuntu is extremely stable.

The scalability of PostgreSQL on Ubuntu is more than adequate. Let me speak to both the strengths and the honest limitations. Vertical scaling is straightforward; if a project needs more performance, we can upgrade our VPS to larger instances with more CPU, more RAM, and tune accordingly. Increasing efficiency through enabling PG stat statements and query analysis makes a significant difference. We have databases with millions of rows without any meaningful performance degradation on properly indexed tables.

Read scaling is supported natively; PostgreSQL enables statement replication, allowing us to spin up read replicas on Ubuntu to distribute read-heavy workloads, which is fantastic. However, horizontal write scaling requires more work; sharding across multiple nodes is not built in a native way, which poses challenges compared to these distributed databases.

Customer support for PostgreSQL on Ubuntu is one area where it differs from a commercial product.

I previously used MySQL  as our default database, also on Ubuntu. It was the path of least resistance at the time; most shared hosting and early tutorials defaulted to MySQL , so that is all we knew. We switched to PostgreSQL on Ubuntu for several reasons, including data integrity, JSON support, and advanced features. The community direction influenced our decision as well. We switched gradually, implementing PostgreSQL on new projects over time, and as we got more comfortable, we made PostgreSQL our standard now.

My experience with pricing, setup cost, and licensing for PostgreSQL on Ubuntu has been very straightforward and reasonable. I had no issues with the pricing or setup; it was all streamlined flawlessly.

For project delivery, the standard setup we can replicate has saved probably two to three days off our initial project setups. This is a very significant deal when you are dealing with projects, especially on large scales. Regarding stack complication, on three projects, we replaced dual SQL. Basically, we eliminated the entire service of having all these complicated stacks and brought it all into one. That has dropped roughly thirty percent of our time. For team size, we have not needed to hire dedicated administrators; a one-man or two-man team can run the entire setup and the database structures, especially if you are adding AI automation into it, so you can definitely get further in your projects and work a lot smarter.

The ROI for using PostgreSQL on Ubuntu has been clear and consistent across a few dimensions. For money saved, as I mentioned earlier, we cut database infrastructure costs by roughly sixty to seventy percent by moving away from managed databases to using hosted PostgreSQL on Ubuntu VPS instances. We do not need a DBA; time saved on setup is standardized on PostgreSQL on Ubuntu, meaning new projects get a database environment up and running in under an hour. Previously, evaluating and configuring different solutions per project was eating two to three days per engagement. Multiply that by eight to ten projects a year, and that is meaningful recovered time.

We also see a reduction in maintenance overhead; consolidating to a single database technology cut our ongoing maintenance down to thirty percent. Altogether, the ROI has been strong enough that we have not seriously considered switching. The cost of migrating away from working systems would outweigh any theoretical gains at this point.

I can give you a few rough estimates based on what we have tracked regarding PostgreSQL on Ubuntu. For cost savings, before standardizing on PostgreSQL on Ubuntu, we were spending around eighty to one hundred twenty dollars per month per client per project on managed database services. Now we are running multiple projects on a single Ubuntu VPS with PostgreSQL for around twenty to forty dollars a month total. That is roughly a sixty to seventy percent reduction in database infrastructure cost across the board.

Before choosing PostgreSQL on Ubuntu, we evaluated a few different options. The first one was MongoDB; we evaluated it seriously because of its flexible document model, but it was not compelling. It was not accomplishing what we needed and it was over-complicated, lacking the same features and setup as PostgreSQL. We also looked into AWS  RDS ; we considered managed options to reduce our operational burden, and while the functionality was solid, the cost was hard to justify for smaller client projects. We needed something that we could scale, still feel premium, and not break the bank.

Additionally, we briefly used SQLite  for very small internal tools and projects; it is great for its use case, but obviously it does not scale for client-based applications with the current uses. We also considered MariaDB  as a drop-in MySQL replacement after the MySQL and Oracle situation. It was fine, but at the point we really started using PostgreSQL, we said it was just not better than PostgreSQL. After evaluating all these options, we found self-managed Ubuntu VPS to be the clearly right balance of features, cost, and control for our needs.

We decided we need to post JSONB columns for some of our flexible infrastructure, such as storing metadata for per client. It gives us a relationship reliability we need when handling semi-structured data without needing a separate NoSQL solution. We also appreciate how straightforward PostgreSQL is to manage on Ubuntu, especially using things such as PostgreSQL on the command line, PG_HBA configurations for access control, and the overall transparency of the system. It never feels like it is a black box. Overall, it is just a very dependable stack for us. We have tried other databases on other projects, but PostgreSQL on Ubuntu remains our default recommendation when we are dealing with clients' databases.

All these features work together really well with PostgreSQL on Ubuntu. There is nothing about piecing together separate tools; it is all native. JSON, full-text search, extensions, and the row-based access control system are all in one coherent platform. I also want to mention the community and documentation. Running PostgreSQL on Ubuntu means you almost never hit a problem that has not already been solved and documented somewhere. That is a significant advantage, because you have a system that has been battle-tested and ready to go. The combination of the official PostgreSQL docs, Stack Overflow, and the Ubuntu community means you are always going to have a resource to find out what is going on and fix a solution.

The impact of PostgreSQL on Ubuntu has been felt in a few key areas, with cost savings being the most direct one. We are not paying for someone to manage our databases, like RDS , other subscriptions, or any other services. We are cutting costs so infrastructure can scale, and our prices are not scaling with it. That is a significant deal, especially for an engineer, someone that provides applications for other companies. You want to be able to be very competitive with your pricing. Using PostgreSQL and Ubuntu together really saves and it is really cost-efficient. There is also faster project delivery because our whole team is already familiar with PostgreSQL. We do not lose time evaluating or learning a new database. We can hop right in and get the customer taken care of.

Then we reduce stack complexity. As I mentioned, JSON consolidates it from two databases down to one from several projects. You do not have to use all these different databases and try to connect all these; one place, one stack, and you are good to go. Client confidence is another factor; when we tell clients their data is on PostgreSQL, which powers companies such as Instagram and Spotify at massive scales, they feel good about it. They know that if this billion-dollar company can use this, they are definitely going to use this. Then, team scalability becomes easier; if PostgreSQL is what you have the skills to do, you can bring a whole team together and get massive projects done without feeling overwhelmed, unlike other complex databases. Overall, it is leaner, faster, and more cost-effective.

The JSONB support has made the biggest difference for us. Before we started using it, we had a real problem with client projects that had the flexibility of varying data structures. We were either cramming everything into rigid relation columns, which led to a lot of nullable fields, or we were spinning up separate DB instances in MongoDB to PostgreSQL, which meant managing two databases, two connections, two backup strategies. It added real complexity, was time-consuming, and increased costs. Once we started using the JSON columns, the whole problem went away. We could store structured relational data and flexible metadata in the same database. For example, in one project, each client record had a standard set of columns, such as name, email, and created date, but then the JSON column called preferences stores whatever the client configuration looks like. Client preferences can be slightly different and change over time, but we can update them without any issues with migration. We are really impressed with how the query performance has improved since JSON is stored in a binary format, so PostgreSQL can index it with GIN indexes. We can perform fast queries that run seamlessly, even with ten thousand records.

In summary, PostgreSQL on Ubuntu represents something that is becoming rare in the software world, which is a mature, stable, genuinely free tool that does not have a commercial agenda pushing you toward a paid tier or a vendor locking strategy. Everything we have discussed today, including JSON support, reliability, performance tuning, and extensions, is available to anyone who wants to learn at no cost. That is remarkable compared to an enterprise database vendor's charges. For anyone running a small to mid-size development operation or any organization with developers comfortable managing their own infrastructure, PostgreSQL is the default right answer for a relational database. The question should not be why PostgreSQL or Ubuntu; it should be why not. It has provided a solid foundation for our business, and I recommend it without hesitation.

My advice for others looking into using PostgreSQL on Ubuntu is to not skip the initial configuration. I would rate PostgreSQL on Ubuntu a nine out of ten overall.

The main purpose of using PostgreSQL on Ubuntu  is to store user data, products, and their details. I used it in my client's project called Partscify, which is an auto parts company. In that project, it was very important to relate vehicles and products to each other, and I used PostgreSQL on Ubuntu  because it is a well-known relational database. I could have used Supabase and Firebase, but PostgreSQL  is very stable on Ubuntu , which is why I preferred it for my Partscify project. I am also using it in another client's project that is a religious app, and I have been using it on one of my projects called Nexera, which is an e-commerce online store. PostgreSQL on Ubuntu was a good fit for all these projects.

When I used PostgreSQL on Ubuntu in my Partscify project, I had to go through an end-to-end process from my laptop's environment to a production-grade environment for real users. The major challenge was linking PostgreSQL on Ubuntu with my backend code. I had to create a separate container for PostgreSQL  with PostgreSQL itself installed on it and linked with environment variables. Then I linked my Partscify web container to route the Partscify database container to fetch the data and display it on the front end. Managing PostgreSQL on Ubuntu at the production level was a bottleneck, but overall, it was a good experience and I learned a lot.

PostgreSQL on Ubuntu encompasses all three attributes I value. It is very easy to use because I studied database courses in my university, and it is purely SQL. I was familiar with relational databases and more comfortable using PostgreSQL on Ubuntu because I could link different models together, such as product model to order, order item, and vehicle to product. The major factor was relational databases. I do not have experience with non-relational databases such as MongoDB, but I preferred PostgreSQL on Ubuntu because it also helped me understand SQL and it supported my university coursework. Additionally, it is a very secure database, and I have added multiple security layers such as Nginx for routing and middlewares to prevent intrusions on my database. I am also planning to increase the level of security further.

I used hashing in my admin login portal with PostgreSQL on Ubuntu, where everything was hashed along with the user ID and passwords. Guessing the password becomes difficult because it is already hashed using bcrypt.js and SHA-256. Prisma itself is very helpful in creating a security layer because it automatically detects SQL injections and other types of security intrusions. Since I have been using AWS  for my deployments, AWS  is also a very secure service. All of these security layers made my project secure from external intrusions and unauthorized access.

PostgreSQL on Ubuntu can be improved by providing proper guidance about how to link database containers with each other, especially when working with Docker . There should be proper guidance about linking PostgreSQL on Ubuntu with servers so we can save time.

PostgreSQL on Ubuntu is very stable in terms of performance and query optimization, so it is already built very well and we do not have to struggle much. However, I would like to see some improvement in relational linking when we connect one model to another. We have to make bidirectional linking, which is not actually done in Microsoft SQL Server , so it could be generalized.

I have been using PostgreSQL on Ubuntu for around six months.

This was my first ever full-stack web project, and I used PostgreSQL on Ubuntu. In the future, I will use Supabase and Firebase if needed. PostgreSQL on Ubuntu is very stable.

I have developed an architecture where if the number of users exceeds in my system, I will scale horizontally by creating more containers for user handling. However, I have not implemented it yet, but I have kept these considerations in mind.

I have never contacted customer support for PostgreSQL on Ubuntu.

I wanted to have an elite level experience of managing the database on my own while using PostgreSQL on Ubuntu instead of using managed databases such as Supabase and Firebase. I wanted to learn in detail, and I also used Prisma along the way so that I do not have to write queries on my own. I just have to use the ORM module to establish a connection between PostgreSQL on Ubuntu and my backend via Prisma. I preferred this approach, and one factor was to save the cost of using Supabase or Firebase. PostgreSQL on Ubuntu runs locally, so we do not have to pay any cost.

I evaluated Supabase as well. My friend was using Supabase because it is easy to link. Supabase actually uses PostgreSQL on Ubuntu under the hood, but it provides a useful interface. However, I wanted to set up everything on my own from scratch, including Docker  containerization and setting the database locally through my terminal. I explored Supabase as well.

This was my personal project, not a company project. I was working on it alone, and I saved money obviously because I did not have to use Supabase or Firebase. Time was also saved because I was already familiar with relational databases.

PostgreSQL on Ubuntu positively impacts my projects because I do not have to pay any database service provider for database services such as Supabase or Firebase. They charge for their services, but I do not have to pay anything. I just downloaded PostgreSQL on Ubuntu on my machine and used it accordingly. There was no pricing and cost involved in using PostgreSQL on Ubuntu.

You should try to have a good understanding of the needs of your project. If you do not want to take the headache of setting things on your own, use Supabase and other already-built services on top of PostgreSQL on Ubuntu. If you really want to understand the system-level database architecture, then you must go with it, gain experience, and get your hands dirty with it.

I utilized a lot of my time in understanding how to link PostgreSQL on Ubuntu with my web container, how I would access my database data, and how I would perform migrations. I have been using Microsoft SQL Server , so the syntax was a bit different for me, particularly UUID and other things that are not present in Microsoft SQL Server. This was my first project on PostgreSQL on Ubuntu, and I have been working on four projects currently, so I will need to gain more experience to give it a ten out of ten rating.

I would suggest going through information about its production-level capabilities first and studying its syntax, how to write schema, and how to link things with each other. If you are using Prisma along with it, check out the syntax of Prisma regarding how to use it and how Prisma generates optimized queries under the hood for fetching data from the database. I have rated this review eight out of ten overall.