This guide explains the key differences between relational, NoSQL, and vector databases, highlighting their strengths, best use cases, and examples. Relational databases are best for structured data and transactions, NoSQL excels at scalability and flexibility, while vector databases power AI and semantic search. Learn how to choose the right database—or combine them in a polyglot approach—for your project.
Discover the complete guide to open-source databases in 2025 — including SQL, NoSQL, Time-Series, Graph, and Vector databases. Learn use cases, best options, and how to choose the right one for your applications.
Introduction to Weaviate In the era of machine learning and big data, managing and querying large datasets efficiently is a challenge. Traditional databases often fall short when it comes to handling vectorized data, which is crucial for ML models. Enter Weaviate, an open-source vector database designed to store, manage, and query vectorized data with ease. Whether you’re building recommendation systems, semantic search engines, or any ML-driven application, Weaviate offers a scalable and efficient solution. ...