OctaByte Blog

Illustration of the ScyllaDB octopus mascot with database icons on a blue background, representing top ScyllaDB use cases as an Apache Cassandra alternative.

Top Use Cases for ScyllaDB (Apache Cassandra Alternative)

ScyllaDB is a high-performance NoSQL database and a powerful Apache Cassandra alternative. This guide explores its top use cases, including real-time analytics, IoT data storage, gaming backends, e-commerce personalization, and global-scale applications. Learn how ScyllaDB delivers ultra-low latency, massive throughput, and operational efficiency for modern workloads.

Infographic comparing Redis, Valkey, and KeyDB with icons and feature highlights of open-source in-memory databases.

Redis vs Valkey vs KeyDB: Choosing the Best In-Memory Database

Redis, Valkey, and KeyDB are leading open-source in-memory databases for caching, real-time apps, and high-performance workloads. Discover their differences, strengths, and the best choice for your use case in 2025.

Cover image showing ClickHouse and PostgreSQL logos on split backgrounds with the title “ClickHouse vs PostgreSQL for Analytics Workloads: A Detailed Comparison.”

ClickHouse vs PostgreSQL for Analytics Workloads: A Detailed Comparison

ClickHouse vs PostgreSQL: Which is best for analytics? ClickHouse excels at real-time, large-scale queries, while PostgreSQL offers flexibility, ACID compliance, and powerful extensions. Learn when to choose each for your workloads.

Top Use Cases of TimescaleDB for Time-Series Data

TimescaleDB is a PostgreSQL-based open-source database designed for time-series workloads. This blog explores its top use cases, including IoT sensor data, DevOps monitoring, financial analytics, application performance monitoring, industrial telemetry, and real-time dashboards. With its SQL-first approach, scalability, and seamless integration, TimescaleDB is a powerful choice for organizations managing massive time-stamped datasets.

MariaDB vs MariaDB ColumnStore: What’s the Difference?

MariaDB and MariaDB ColumnStore serve different workloads. MariaDB is a row-based relational database best for OLTP use cases like transactions, e-commerce, and web apps. ColumnStore, on the other hand, uses columnar storage optimized for OLAP, making it ideal for analytics, BI, and large-scale data queries. In practice, businesses often use both together—MariaDB for fast transactional operations and ColumnStore for analyzing massive datasets.