Redis vs peewee

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

peewee

Stacks50

Followers105

Votes19

GitHub Stars11.8K

Forks1.4K

Redis vs peewee: What are the differences?

Data Modeling: Redis is a NoSQL database that stores keys and values as simple string pairs, while peewee is an ORM (Object-Relational Mapping) that allows easy interaction with relational databases like PostgreSQL, MySQL, and SQLite. This difference in data modeling approach affects how data is stored, queried, and accessed within the two systems.
Query Language: Redis provides a simple key-value store interface with limited querying capabilities, primarily focused on retrieving values based on keys. In contrast, peewee offers a more robust and SQL-like querying language, allowing users to perform complex queries involving filters, joins, and aggregations on relational data.
Transaction Support: Redis supports atomic operations on single keys, but it does not provide built-in support for transactions across multiple keys or tables. On the other hand, peewee supports transactions across relational databases, ensuring data consistency and integrity when performing multiple operations.
Data Relationships: In Redis, data relationships are typically handled through manual key structuring or by using specialized data structures like sets and lists. Peewee, being an ORM, facilitates the definition and management of relationships between data entities through object-oriented programming principles such as ForeignKeys, ManyToManyFields, and Joins.
Performance: Redis is known for its exceptional performance due to its in-memory storage engine and asynchronous I/O operations. Peewee, while efficient in handling relational data, may not match the raw speed and low latency offered by Redis for certain use cases that demand real-time data processing or caching.
Data Persistence: Redis primarily relies on in-memory storage for fast data access, with options for periodic disk-based snapshots and incremental backups. Peewee, being an ORM for relational databases, ensures data persistence through the underlying database's disk-based storage mechanisms, providing durability and consistency features essential for transactional and long-term data storage.

In Summary, Redis and peewee differ in their data modeling approach, query language capabilities, transaction support, data relationships management, performance in terms of speed and latency, and data persistence mechanisms.

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CLI (Node.js)

Manual

Detailed Comparison

Redis	peewee
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.	A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.
Statistics
GitHub Stars 42	GitHub Stars 11.8K
GitHub Forks 6	GitHub Forks 1.4K
Stacks 61.9K	Stacks 50
Followers 46.5K	Followers 105
Votes 3.9K	Votes 19
Pros & Cons
Pros 888 Performance 542 Super fast 514 Ease of use 444 In-memory cache 324 Advanced key-value cache Cons 15 Cannot query objects directly 3 No secondary indexes for non-numeric data types 1 No WAL	Pros 7 Easy to start 4 High Performance 4 Open Source 4 Free
Integrations
No integrations available	PostgreSQL MySQL SQLite

What are some alternatives to Redis, peewee?

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Related Comparisons

Redis vs peewee: What are the differences?

Data Modeling: Redis is a NoSQL database that stores keys and values as simple string pairs, while peewee is an ORM (Object-Relational Mapping) that allows easy interaction with relational databases like PostgreSQL, MySQL, and SQLite. This difference in data modeling approach affects how data is stored, queried, and accessed within the two systems.
Query Language: Redis provides a simple key-value store interface with limited querying capabilities, primarily focused on retrieving values based on keys. In contrast, peewee offers a more robust and SQL-like querying language, allowing users to perform complex queries involving filters, joins, and aggregations on relational data.
Transaction Support: Redis supports atomic operations on single keys, but it does not provide built-in support for transactions across multiple keys or tables. On the other hand, peewee supports transactions across relational databases, ensuring data consistency and integrity when performing multiple operations.
Data Relationships: In Redis, data relationships are typically handled through manual key structuring or by using specialized data structures like sets and lists. Peewee, being an ORM, facilitates the definition and management of relationships between data entities through object-oriented programming principles such as ForeignKeys, ManyToManyFields, and Joins.
Performance: Redis is known for its exceptional performance due to its in-memory storage engine and asynchronous I/O operations. Peewee, while efficient in handling relational data, may not match the raw speed and low latency offered by Redis for certain use cases that demand real-time data processing or caching.
Data Persistence: Redis primarily relies on in-memory storage for fast data access, with options for periodic disk-based snapshots and incremental backups. Peewee, being an ORM for relational databases, ensures data persistence through the underlying database's disk-based storage mechanisms, providing durability and consistency features essential for transactional and long-term data storage.

Redis vs peewee

Overview