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A flat-design infographic showing a database icon and server rack on the left, the Kafka logo in the center, and a computer monitor with an upward-trending graph on the right. The title text reads: ‘Kafka as a Database – When Should You Use It for Streaming Data?’ in bold white letters against a blue background.

Kafka as a Database: When Should You Use It for Streaming Data?

Apache Kafka isn’t a traditional relational or NoSQL database, but it can function as a database for streaming data. By storing events durably, enabling replay, and supporting real-time processing through Kafka Streams and ksqlDB, Kafka is ideal for event sourcing, data pipelines, and microservices communication. However, it’s not suited for transactional workloads, long-term archival, or general-purpose CRUD operations. The best approach is to use Kafka alongside open-source databases like PostgreSQL, ClickHouse, Redis, or TimescaleDB to build modern, scalable data infrastructures that balance real-time event streaming with persistent storage.

September 20, 2025 · 5 min · OctaByte
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 Neo4j, ArangoDB, and RedisGraph with the title “Neo4j vs ArangoDB vs RedisGraph — Best Open-Source Graph Databases” on a dark blue background.

Neo4j vs ArangoDB vs RedisGraph: Best Open-Source Graph Databases

This blog compares the top open-source graph databases — Neo4j, ArangoDB, and RedisGraph — to help developers and businesses choose the right solution in 2025. Neo4j stands out for advanced graph analytics and mature tooling, ArangoDB offers flexibility with its multi-model architecture, and RedisGraph delivers unmatched speed for real-time queries. The article breaks down features, performance, scalability, and best use cases, providing a clear head-to-head comparison table and FAQ section. Whether you need deep graph insights, multi-model support, or ultra-fast performance, this guide shows which database is best for your project.

September 17, 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