LiteDB vs Redis

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

LiteDB

Stacks48

Followers187

Votes24

LiteDB vs Redis: What are the differences?

<LiteDB vs Redis>

1. **Data Model**: LiteDB uses a document-based data model, storing data in collections similar to JSON documents, while Redis utilizes a key-value data model where every piece of data is stored as a key-value pair.
2. **Persistence**: LiteDB persists data on disk by default, providing durability and consistency, whereas Redis is primarily an in-memory data store with optional persistence mechanisms like snapshots or append-only files.
3. **Query Language**: LiteDB supports a SQL-like query language for querying data, making it easier to retrieve specific information, whereas Redis doesn't have a traditional query language but instead offers various commands for manipulating data.
4. **Scaling**: LiteDB is more suitable for single-server applications or small-scale projects due to its file-based storage engine, while Redis is designed for distributed systems and can scale horizontally by adding more nodes to the cluster.
5. **Data Structures**: Redis provides a wide range of built-in data structures like lists, sets, and sorted sets, enabling advanced data manipulation, whereas LiteDB focuses on simple key-document storage without complex data structures.
6. **Concurrency Control**: LiteDB utilizes a single-writer lock with multiple-reader support, making it suitable for applications with low concurrency requirements, whereas Redis implements optimistic locking and supports high levels of concurrent operations.

In Summary, LiteDB and Redis differ significantly in their data models, persistence mechanisms, query languages, scalability, data structures, and concurrency control strategies.

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CLI (Node.js)

Manual

Detailed Comparison

Redis	LiteDB
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.	Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready
-	Standalone database; Fast and lightweight; Free for everyone, including commercial use
Statistics
GitHub Stars 42	GitHub Stars -
GitHub Forks 6	GitHub Forks -
Stacks 61.9K	Stacks 48
Followers 46.5K	Followers 187
Votes 3.9K	Votes 24
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 6 No Sql 5 Portable 4 Easy to use 3 Document oriented storage 2 Bring up or extend a database very quickly Cons 2 Needs more real world examples 2 Online documentation needs improvement
Integrations
No integrations available	.NET

What are some alternatives to Redis, LiteDB?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Related Comparisons

LiteDB vs Redis: What are the differences?

<LiteDB vs Redis>

1. **Data Model**: LiteDB uses a document-based data model, storing data in collections similar to JSON documents, while Redis utilizes a key-value data model where every piece of data is stored as a key-value pair.
2. **Persistence**: LiteDB persists data on disk by default, providing durability and consistency, whereas Redis is primarily an in-memory data store with optional persistence mechanisms like snapshots or append-only files.
3. **Query Language**: LiteDB supports a SQL-like query language for querying data, making it easier to retrieve specific information, whereas Redis doesn't have a traditional query language but instead offers various commands for manipulating data.
4. **Scaling**: LiteDB is more suitable for single-server applications or small-scale projects due to its file-based storage engine, while Redis is designed for distributed systems and can scale horizontally by adding more nodes to the cluster.
5. **Data Structures**: Redis provides a wide range of built-in data structures like lists, sets, and sorted sets, enabling advanced data manipulation, whereas LiteDB focuses on simple key-document storage without complex data structures.
6. **Concurrency Control**: LiteDB utilizes a single-writer lock with multiple-reader support, making it suitable for applications with low concurrency requirements, whereas Redis implements optimistic locking and supports high levels of concurrent operations.

In Summary, LiteDB and Redis differ significantly in their data models, persistence mechanisms, query languages, scalability, data structures, and concurrency control strategies.

LiteDB vs Redis

Overview