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Database vs. Object Storage for Large Files: A Scalability Deep Dive

Storing large files like photos and videos directly within a database, such as PostgreSQL or MySQL, can lead to significant performance and scalability issues. While convenient for small projects due to single-location management and transactional integrity, this approach inflates backup times, strains database connections, and degrades cache performance. A more scalable solution involves using object storage services like Amazon S3, where the database only stores a reference (like an object key or URL) to the file. This separation allows databases to focus on indexing and querying structured data, while object storage handles the bulk storage, durability, and integration with content delivery networks (CDNs) for efficient file access. AI

IMPACT Explains best practices for handling large data assets, crucial for AI model training and deployment infrastructure.

RANK_REASON The item provides an in-depth technical explanation and comparison of two data storage strategies, serving as an explanatory piece rather than a news event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Database vs. Object Storage for Large Files: A Scalability Deep Dive

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  1. dev.to — LLM tag TIER_1 English(EN) · Vahid Aghajani ·

    S3 vs Database Blobs: Why Your Files Don't Belong in Postgres (and What Pre-Signed URLs Fix)

    <blockquote> <p>Originally published on <a href="https://software-engineer-blog.com/content/s3-vs-database-blobs-why-your-files-dont-belong-in-postgres-and-what-pre-signed-urls-fix?id=101" rel="noopener noreferrer">my blog</a>. Cross-posted here with a canonical link.</p> </block…