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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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Pros of LiteDB
Pros of Redis
  • 6
    No Sql
  • 5
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Bring up or extend a database very quickly
  • 2
    Open Source
  • 2
    Capable of storing images or documents
  • 886
  • 542
    Super fast
  • 513
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
  • 194
    Open source
  • 182
    Easy to deploy
  • 164
  • 155
  • 121
  • 42
  • 40
    High Availability
  • 35
    Data Structures
  • 32
    Very Scalable
  • 24
  • 22
    Great community
  • 22
  • 19
    "NoSQL" key-value data store
  • 16
  • 13
  • 11
    Sorted Sets
  • 10
  • 10
  • 9
    Async replication
  • 9
    BSD licensed
  • 8
  • 8
    Integrates super easy with Sidekiq for Rails background
  • 7
    Keys with a limited time-to-live
  • 7
    Open Source
  • 6
    Lua scripting
  • 6
  • 5
    Awesomeness for Free
  • 5
  • 4
  • 4
    Outstanding performance
  • 4
    Runs server side LUA
  • 4
    LRU eviction of keys
  • 4
    Feature Rich
  • 4
    Written in ANSI C
  • 4
  • 3
    Data structure server
  • 3
    Performance & ease of use
  • 2
    Dont save data if no subscribers are found
  • 2
    Automatic failover
  • 2
    Easy to use
  • 2
    Temporarily kept on disk
  • 2
  • 2
    Existing Laravel Integration
  • 2
    Channels concept
  • 2
    Object [key/value] size each 500 MB
  • 2

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Cons of LiteDB
Cons of Redis
  • 2
    Online documentation needs improvement
  • 2
    Needs more real world examples
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL

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- No public GitHub repository available -

What is LiteDB?

Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready

What is Redis?

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.

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What companies use LiteDB?
What companies use Redis?
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    What tools integrate with Redis?

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    Blog Posts

    Nov 20 2019 at 3:38AM


    Jun 6 2019 at 5:11PM


    What are some alternatives to LiteDB and Redis?
    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.
    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.
    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.
    The Realm Mobile Platform is a next-generation data layer for applications. Realm is reactive, concurrent, and lightweight, allowing you to work with live, native objects.
    Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
    See all alternatives