Struggling to choose between Tarantool and Redis? Both products offer unique advantages, making it a tough decision.
Tarantool is a Development solution with tags like nosql, inmemory, lua, application-server.
It boasts features such as In-memory database for fast performance, Supports SQL and NoSQL data models, Built-in Lua application server, Connectors for integration with external databases/services, ACID transactions, Replication and sharding for scalability and pros including Very fast for real-time apps due to in-memory storage, Flexible data modeling with SQL and NoSQL, Lua server allows stored procedures and app logic, Horizontal scalability, Mature and production-ready.
On the other hand, Redis is a Development product tagged with caching, inmemory, keyvalue-store.
Its standout features include In-memory data structure store, Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams), Used as a database, cache, and message broker, Provides high performance and low latency, Supports replication, clustering, and high availability, Supports a wide range of programming languages, Provides a rich set of commands and APIs, Supports data persistence (RDB and AOF), and it shines with pros like High performance and low latency, Flexible and versatile data structures, Supports a wide range of use cases, Easy to set up and configure, Scalable and highly available, Open-source and free to use.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Tarantool is an open-source NoSQL database and application server. It combines an in-memory database for real-time performance, Lua application server for stored procedures and task scheduling, and connectors to integrate with external databases and services.
Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes and streams.