Cover image featuring the title "SurrealDB: The New Multi-Model Database You Need to Watch" with database, document, and graph icons connected by lines, symbolizing SurrealDB’s unified approach to data models.

SurrealDB: The New Multi-Model Database You Need to Watch

SurrealDB is a powerful open-source multi-model database that unifies SQL, NoSQL, graph, and document models in one system. It offers real-time queries, built-in security, and cloud-native scalability, making it ideal for SaaS apps, real-time dashboards, IoT, and AI workloads. In 2025, SurrealDB stands out as a flexible alternative to traditional databases like PostgreSQL, MongoDB, and Neo4j.

September 18, 2025 · 4 min · OctaByte
Cover image showing logos of Qdrant, Weaviate, Milvus, and ChromaDB with the title 'Top Open-Source Vector Databases' on a blue background.

Top Open-Source Vector Databases (Qdrant, Weaviate, Milvus, ChromaDB) Compared

This guide compares the leading open-source vector databases — Qdrant, Weaviate, Milvus, and ChromaDB. Learn their strengths, use cases, and which one is best for powering AI, ML, semantic search, and RAG applications.

September 16, 2025 · 4 min · OctaByte
Cover image comparing MongoDB and FerretDB with circuit-style design, highlighting FerretDB as the future of open-source document databases.

MongoDB Alternative: Why FerretDB is the Future of Open-Source Document Databases

FerretDB is emerging as the leading MongoDB alternative, offering full MongoDB compatibility while running on top of PostgreSQL. Unlike MongoDB’s restrictive SSPL license, FerretDB is true open source under Apache 2.0, giving developers freedom from vendor lock-in. This blog explores why FerretDB is gaining traction, its key benefits, how it compares to MongoDB, and why it’s positioned as the future of open-source document databases.

September 11, 2025 · 4 min · OctaByte
A digital illustration of MySQL database scaling with servers, replication, caching, and load balancing, representing high-traffic application architecture.

Scaling MySQL for High-Traffic Applications: Best Practices

This blog explores how to scale MySQL for high-traffic applications by combining query optimization, indexing, and InnoDB tuning with advanced techniques like replication, caching, sharding, and load balancing. Learn the best practices to ensure fast performance, high availability, and seamless growth for modern applications.

September 4, 2025 · 4 min · OctaByte