database

Database performance benchmarking involves systematically measuring and evaluating the speed, efficiency, and scalability of database systems under various workloads to identify bottlenecks and optimize performance.

etcd is a distributed, strongly consistent key-value store that serves as the primary data store for Kubernetes and other distributed systems, providing reliable configuration management and service discovery.

An open-source Object-Relational Mapper (ORM) that simplifies database access and management for application development with type-safe queries.

Supabase is an open-source backend-as-a-service offering a PostgreSQL database, authentication, and real-time features. Next.js is a React framework for building full-stack web applications with server-side rendering.

DuckDB is an in-process analytical SQL database optimized for OLAP workloads that runs embedded within applications without external dependencies.

MongoDB is a document-oriented NoSQL database that stores data in flexible, JSON-like documents, enabling rapid application development with dynamic schemas and horizontal scaling capabilities.

Amazon DynamoDB is a fully managed, serverless NoSQL database service that provides single-digit millisecond performance at any scale with built-in security and multi-region replication.

Dive into real-world 2025 performance benchmarks for MongoDB, PostgreSQL, and MySQL. Discover which database truly excels under load for reads and writes, beyond theoretical tests.

A distributed NoSQL database designed for handling large amounts of data across commodity servers with no single point of failure, providing high availability and linear scalability.

MongoDB is a NoSQL document database that stores data in flexible, JSON-like documents with dynamic schemas, designed for scalability and developer productivity.

MySQL is an open-source relational database management system that stores, organizes, and retrieves structured data using SQL queries for web applications and enterprise systems.

Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine that supports various data structures like strings, hashes, lists, sets, and sorted sets.

PostgreSQL is an advanced open-source object-relational database system that combines SQL with extensible features for handling complex data workloads with strong ACID compliance and scalability.

Compare Redis, Memcached, and Hazelcast for production caching. Understand their core differences, performance, and use cases to make an informed decision for your distributed system.