PostgreSQL

relational database, open source, sql
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Back in the days when databases weren’t quite so… ubiquitous, and everything wasn’t moving to the cloud (shocking, I know), a group of clever folks decided existing systems weren’t quite robust enough. Thus, PostgreSQL emerged – an open-source relational database promising SQL compliance, extensibility, and data integrity. It was, and remains, quite clever, really, though one does wonder if the sheer number of features occasionally borders on feature creep.

In practice, it’s a solid, reliable workhorse, favored by developers who appreciate its adherence to standards and the ability to customize it to within an inch of its life. Compared to the commercial giants like Oracle or SQL Server, it offers a compelling cost-benefit, though you’ll likely need a dedicated DBA to truly unlock its potential. Today? It powers everything from startups to enterprise applications, and is a particularly popular choice for geospatial data and complex analytical workloads. It’s not flashy, but it works, and in this industry, that’s often the highest compliment one can give.

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Jobs in using PostgreSQL for but please no

data engineer

Cientista de Dados / Híbrido - Rio de Janeiro/RJ @ capco

BR | 2025-12-27
This role requires extensive experience with data analysis and modeling in the oil and gas sector, emphasizing operational optimization, predictive maintenance, and asset monitoring. A key... read more »
Analytics, Python, R, SQL, AI/ML, PostgreSQL, SQL Server, NoSQL, MongoDB, Cassandra, ETL/ELT, Spark, Databricks, Cloud Computing, AWS, Azure, GCP, Big Data, Hadoop, Kafka, DevOps, MLOps, Docker, Kubernetes, Git, CI/CD, Agile/Scrum, Microsoft, Tableau, Grafana
data engineer

Data Engineer, Brazil - X Delivery @ bcg-x

BR | 2025-12-21
This Data Engineer role involves designing and delivering data solutions using Python, SQL, and cloud platforms like AWS, Azure, or GCP, with a notable emphasis on adapting projects to client... read more »
Spark, Management, Go, Data Engineering, Python, SQL, RDBMS, PostgreSQL, MySQL, MariaDB, NoSQL, MongoDB, Redis, Neo4j, PySpark, Hadoop, Cloud Computing, AWS, Azure, GCP, Airflow, AWS Glue, Prefect, Dagster, DataViz, Power BI, Tableau, Looker, Data Modelling, Snowflake, dimensional modeling, Docker, Kubernetes, Data Streaming, Kafka, Data Lake, Analytics, Big Data, ETL/ELT