My main use case for PostgreSQL on Ubuntu is to work with the database, so all the fields should be aligned. When we scale the projects, it helps us to do better compared to other software. PostgreSQL on Ubuntu is commonly used for handling large databases and large data fields in an aligned format.
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.
My main use case for PostgreSQL on Ubuntu is as the backbone of an agricultural provenance system called France Farms, with the primary goal of creating a trust machine for smallholder farmers in the Caribbean. I use PostgreSQL on Ubuntu to store critical agricultural data such as soil metrics, harvest origin, and chemical records. To ensure the data is tamper-proof, I implement cryptographic hashing such as SHA-256. This allows me to anchor a digital fingerprint to every physical asset, providing an immutable audit trail that can be verified by international buyers. Ubuntu LTS provides the stable open-source environment required to run these high-integrity database operations reliably at the edge.
My main use case for PostgreSQL on Ubuntu is for storing the database, and I'm using Ubuntu because it is open source. Like multiple operating systems, it will support it because one of my friends and teammates has a MacBook. So, we cannot use the normal one.A specific example of how I use PostgreSQL on Ubuntu in my work is in my project titled a student management and faculty leave student rating management system and faculty leave management system. Here I am working on a project where students are applying, students can give ratings for the faculties, and faculties can apply for leave applications for the admin side or as their upper faculty. I am storing the SQL data, such as creating the tables and this kind of data in PostgreSQL. As I mentioned, my friend's laptop is a MacBook, so we are creating PostgreSQL on Ubuntu. During my internship, I used PostgreSQL to handle structured data and perform operations such as joining, indexing, and data retrieval. I find it very stable and efficient when working with a large database. Additionally, there is no limit for the operating system because it is supported in all operating systems, with maximum database being unlimited RAM and unlimited database size. The license is open source, so it is easy to use. Installation is straightforward, and I can access the database easily. We can also create our own user and database. We can easily manage the database, and we can use NoSQL data as well.
The main use case for PostgreSQL on Ubuntu is storing the database and serving as our primary database for storing the credentials of users and other information, including candidate data and enterprise data. This covers my main use case.
Consultant at a tech vendor with 10,001+ employees
Real User
Top 5
Dec 16, 2025
My main use case for PostgreSQL on Ubuntu is to query the database and the tables. A quick specific example of a task where I used PostgreSQL on Ubuntu to query the database or tables is that I query the tables with SQL code, and it is very smart. I do feature engineering directly in SQL.
I was using a SaaS version of PostgreSQL on Ubuntu on both on-cloud and on-prem environments. We have a test server that is on-prem and certain production servers which are on the cloud. We use a mix of everything that works best for our needs. For example, we used an on-prem PostgreSQL on Ubuntu for the test server, but for production, we are using the cloud. PostgreSQL on Ubuntu was used on Ubuntu for the backend of a lot of software. For example, the e-commerce software was built on top of PostgreSQL on Ubuntu.
We are working with Spring Boot and everything related to this area, using a couple of modules from Spring Boot such as security, data, and cloud. The most major aspect is that we work with relational database architecture. For the relational database, I use PostgreSQL on Ubuntu. I have been using PostgreSQL on Ubuntu for all my commercial experience, which is around six or seven years. I use a relational database where objects and relations between them are needed, and where there is a specific structure. For example, if we have a parameter for our object, such as a user or an apple, we have specific size, weight, etc. Non-relational database is not about that; it's more about speed, but relational databases are specifically created for this task. The support for complex data types such as JSON and XML in PostgreSQL on Ubuntu adds technical behavior not related to typical relational databases. I have worked with JSON in PostgreSQL on Ubuntu, and it helps manage non-structured data effectively. You can also add an index for JSON and speed up searches, though it's a complex topic that requires deep knowledge of how indexes work.
PostgreSQL on Ubuntu delivers advanced queries, robust extensions like PostGIS, JSONB support, and reliability backed by a strong community. It efficiently handles complex joins, CTEs, and transactions. Its customizable architecture suits diverse use cases.PostgreSQL on Ubuntu stands out with its advanced feature set, enabling organizations to handle semi-structured data and execute complex queries with ease. Its extensions, such as PostGIS, add spatial data functionality, while JSONB support...
My main use case for PostgreSQL on Ubuntu is to work with the database, so all the fields should be aligned. When we scale the projects, it helps us to do better compared to other software. PostgreSQL on Ubuntu is commonly used for handling large databases and large data fields in an aligned format.
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.
My main use case for PostgreSQL on Ubuntu is as the backbone of an agricultural provenance system called France Farms, with the primary goal of creating a trust machine for smallholder farmers in the Caribbean. I use PostgreSQL on Ubuntu to store critical agricultural data such as soil metrics, harvest origin, and chemical records. To ensure the data is tamper-proof, I implement cryptographic hashing such as SHA-256. This allows me to anchor a digital fingerprint to every physical asset, providing an immutable audit trail that can be verified by international buyers. Ubuntu LTS provides the stable open-source environment required to run these high-integrity database operations reliably at the edge.
My main use case for PostgreSQL on Ubuntu is for storing the database, and I'm using Ubuntu because it is open source. Like multiple operating systems, it will support it because one of my friends and teammates has a MacBook. So, we cannot use the normal one.A specific example of how I use PostgreSQL on Ubuntu in my work is in my project titled a student management and faculty leave student rating management system and faculty leave management system. Here I am working on a project where students are applying, students can give ratings for the faculties, and faculties can apply for leave applications for the admin side or as their upper faculty. I am storing the SQL data, such as creating the tables and this kind of data in PostgreSQL. As I mentioned, my friend's laptop is a MacBook, so we are creating PostgreSQL on Ubuntu. During my internship, I used PostgreSQL to handle structured data and perform operations such as joining, indexing, and data retrieval. I find it very stable and efficient when working with a large database. Additionally, there is no limit for the operating system because it is supported in all operating systems, with maximum database being unlimited RAM and unlimited database size. The license is open source, so it is easy to use. Installation is straightforward, and I can access the database easily. We can also create our own user and database. We can easily manage the database, and we can use NoSQL data as well.
The main use case for PostgreSQL on Ubuntu is storing the database and serving as our primary database for storing the credentials of users and other information, including candidate data and enterprise data. This covers my main use case.
My main use case for PostgreSQL on Ubuntu is to query the database and the tables. A quick specific example of a task where I used PostgreSQL on Ubuntu to query the database or tables is that I query the tables with SQL code, and it is very smart. I do feature engineering directly in SQL.
I was using a SaaS version of PostgreSQL on Ubuntu on both on-cloud and on-prem environments. We have a test server that is on-prem and certain production servers which are on the cloud. We use a mix of everything that works best for our needs. For example, we used an on-prem PostgreSQL on Ubuntu for the test server, but for production, we are using the cloud. PostgreSQL on Ubuntu was used on Ubuntu for the backend of a lot of software. For example, the e-commerce software was built on top of PostgreSQL on Ubuntu.
We are working with Spring Boot and everything related to this area, using a couple of modules from Spring Boot such as security, data, and cloud. The most major aspect is that we work with relational database architecture. For the relational database, I use PostgreSQL on Ubuntu. I have been using PostgreSQL on Ubuntu for all my commercial experience, which is around six or seven years. I use a relational database where objects and relations between them are needed, and where there is a specific structure. For example, if we have a parameter for our object, such as a user or an apple, we have specific size, weight, etc. Non-relational database is not about that; it's more about speed, but relational databases are specifically created for this task. The support for complex data types such as JSON and XML in PostgreSQL on Ubuntu adds technical behavior not related to typical relational databases. I have worked with JSON in PostgreSQL on Ubuntu, and it helps manage non-structured data effectively. You can also add an index for JSON and speed up searches, though it's a complex topic that requires deep knowledge of how indexes work.
We use PostgreSQL on Ubuntu ( /products/postgresql-on-ubuntu-reviews ) for storing our data related to high court cases.