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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. LiteDB vs RavenDB

LiteDB vs RavenDB

OverviewComparisonAlternatives

Overview

RavenDB
RavenDB
Stacks79
Followers82
Votes9
GitHub Stars3.9K
Forks850
LiteDB
LiteDB
Stacks48
Followers187
Votes24

LiteDB vs RavenDB: What are the differences?

Introduction

In this article, we will explore the key differences between LiteDB and RavenDB, two popular NoSQL databases.

  1. Data Model: LiteDB uses a document-based data model, where data is stored in JSON-like documents. Each document is self-contained and can have a different structure. RavenDB, on the other hand, uses a document-oriented data model, where data is stored in semi-structured documents. These documents are stored in a schema-less fashion, allowing flexibility in the data structure.

  2. Scalability: LiteDB is designed for small-scale applications and does not provide built-in horizontal scalability features. It is primarily suitable for single-instance deployments. Meanwhile, RavenDB is designed with scalability in mind and provides various features like sharding, replication, and distributed storage to handle large-scale applications and data growth effectively.

  3. ACID Compliance: LiteDB is ACID-compliant, ensuring that transactions are atomic, consistent, isolated, and durable. It provides support for multi-document transactions with rollback capabilities. In contrast, RavenDB is also ACID-compliant but with a different approach. It uses a concept called "batches" to group multiple operations into a single transaction. These batches are processed together, either committing all or rolling back all the changes.

  4. Query Language: LiteDB has a simple and lightweight query language that supports basic CRUD operations along with filtering, sorting, and projection. It also provides support for LINQ queries for more advanced querying capabilities. Meanwhile, RavenDB features a powerful query language called Raven Query Language (RQL). RQL offers a rich set of querying and indexing capabilities, including full-text search, spatial queries, and facets.

  5. Replication and High Availability: LiteDB does not provide built-in replication and high availability features. It is primarily designed for single-node deployments. On the other hand, RavenDB offers built-in replication and high availability features, allowing you to set up a cluster of nodes that can handle failover and ensure data redundancy.

  6. Integration: LiteDB is a self-contained embedded database that can be easily integrated into applications without any external dependencies. It is primarily used in scenarios where simplicity and lightweightness are important. RavenDB, on the other hand, is a full-featured database server that can be accessed over the network. It provides client libraries and APIs for various programming languages, making it suitable for distributed and client-server architectures.

In Summary, LiteDB is a lightweight, single-instance database with a simpler query language, while RavenDB is a feature-rich, scalable database with advanced querying capabilities and built-in replication and high availability features.

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Detailed Comparison

RavenDB
RavenDB
LiteDB
LiteDB

As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

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

Multi-Platform; ACID Transactions
Standalone database; Fast and lightweight; Free for everyone, including commercial use
Statistics
GitHub Stars
3.9K
GitHub Stars
-
GitHub Forks
850
GitHub Forks
-
Stacks
79
Stacks
48
Followers
82
Followers
187
Votes
9
Votes
24
Pros & Cons
Pros
  • 4
    Embedded Library
  • 3
    Easy of use
  • 2
    NoSql
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
Python
Python
Windows
Windows
Java
Java
Ruby
Ruby
Linux
Linux
.NET
.NET

What are some alternatives to RavenDB, LiteDB?

MongoDB

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

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

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

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

SQLite

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

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

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

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

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

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.

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