It's 2026, Just Use Postgres
tigerdata.com
February 5, 2026
10 min read
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68/100
Summary
Postgres is recommended as a versatile database solution for modern applications, particularly in the AI era. The discussion emphasizes the hidden costs and complexities of using specialized databases compared to the benefits of a unified Postgres stack.
Key Takeaways
- Postgres can handle multiple database functions such as search, vectors, time-series, and queues under one roof, eliminating the need for multiple specialized databases.
- The complexity of managing several databases leads to increased operational overhead, making Postgres a more efficient choice for 99% of companies.
- Postgres extensions often utilize the same or superior algorithms as specialized databases, challenging the notion that specialized tools are necessary for specific tasks.
- Database sprawl incurs significant costs in terms of backup strategies, monitoring, security, and cognitive load, which can be minimized by using a single database solution like Postgres.
Community Sentiment
Positives
- PostgreSQL is a reliable choice for data exploration, particularly with large datasets, as it performs well and simplifies deployment for many users.
- The integration of various subsystems in PostgreSQL can be advantageous, providing a comprehensive solution for diverse data needs.
Concerns
- The complexity and maintenance overhead associated with PostgreSQL can be significant, particularly for workloads it wasn't originally designed for.
- PostgreSQL's default disk usage is higher than alternatives like MySQL, leading to increased operational costs that can be a concern for users.
