RavenDB vs Redis

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

RavenDB

Stacks79

Followers82

Votes9

GitHub Stars3.9K

Forks850

RavenDB vs Redis: What are the differences?

Introduction:

Data Structure: RavenDB is a document-oriented database that stores data in JSON format, allowing for complex data models with nested objects and arrays. Redis, on the other hand, is an in-memory data structure store that supports various data structures like strings, lists, sets, and more, making it ideal for caching and real-time applications.
Persistence: RavenDB offers both in-memory and persistent storage options, allowing data to be stored on disk for durability. In contrast, Redis primarily operates in memory, with the option to persist data to disk in a less efficient manner, making it more suitable for use cases where data loss is acceptable.
Querying: RavenDB features a powerful query engine that supports LINQ queries and full-text search capabilities, making it suitable for complex querying requirements. Redis, on the other hand, has limited querying capabilities, primarily supporting key-based lookups and basic operations, making it more suitable for simple data retrieval tasks.
Scaling: RavenDB provides built-in support for horizontal scaling through sharding and replication, allowing for seamless distribution of data across multiple nodes for improved performance and fault tolerance. Redis also supports sharding and replication for scalability but lacks the built-in support for automatic failover and clustering found in RavenDB.
ACID Compliance: RavenDB follows ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring data integrity and reliability in transactions. On the other hand, Redis prioritizes performance over full ACID compliance, offering eventual consistency and limited transactional support, making it more suitable for use cases where speed is critical.
Use Cases: RavenDB is well-suited for applications requiring complex data structures, advanced querying capabilities, and strict consistency requirements. In contrast, Redis excels in high-performance scenarios like caching, session storage, real-time analytics, and pub/sub messaging due to its in-memory nature and support for various data structures.

In Summary, RavenDB and Redis differ in terms of data structure support, persistence mechanisms, querying capabilities, scalability options, ACID compliance, and ideal use cases.

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CLI (Node.js)

Manual

Detailed Comparison

Redis	RavenDB
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.	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.
-	Multi-Platform; ACID Transactions
Statistics
GitHub Stars 42	GitHub Stars 3.9K
GitHub Forks 6	GitHub Forks 850
Stacks 61.9K	Stacks 79
Followers 46.5K	Followers 82
Votes 3.9K	Votes 9
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 4 Embedded Library 3 Easy of use 2 NoSql
Integrations
No integrations available	Python Windows Java Ruby Linux

What are some alternatives to Redis, RavenDB?

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

RavenDB vs Redis: What are the differences?

Introduction:

Data Structure: RavenDB is a document-oriented database that stores data in JSON format, allowing for complex data models with nested objects and arrays. Redis, on the other hand, is an in-memory data structure store that supports various data structures like strings, lists, sets, and more, making it ideal for caching and real-time applications.
Persistence: RavenDB offers both in-memory and persistent storage options, allowing data to be stored on disk for durability. In contrast, Redis primarily operates in memory, with the option to persist data to disk in a less efficient manner, making it more suitable for use cases where data loss is acceptable.
Querying: RavenDB features a powerful query engine that supports LINQ queries and full-text search capabilities, making it suitable for complex querying requirements. Redis, on the other hand, has limited querying capabilities, primarily supporting key-based lookups and basic operations, making it more suitable for simple data retrieval tasks.
Scaling: RavenDB provides built-in support for horizontal scaling through sharding and replication, allowing for seamless distribution of data across multiple nodes for improved performance and fault tolerance. Redis also supports sharding and replication for scalability but lacks the built-in support for automatic failover and clustering found in RavenDB.
ACID Compliance: RavenDB follows ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring data integrity and reliability in transactions. On the other hand, Redis prioritizes performance over full ACID compliance, offering eventual consistency and limited transactional support, making it more suitable for use cases where speed is critical.
Use Cases: RavenDB is well-suited for applications requiring complex data structures, advanced querying capabilities, and strict consistency requirements. In contrast, Redis excels in high-performance scenarios like caching, session storage, real-time analytics, and pub/sub messaging due to its in-memory nature and support for various data structures.

In Summary, RavenDB and Redis differ in terms of data structure support, persistence mechanisms, querying capabilities, scalability options, ACID compliance, and ideal use cases.

RavenDB vs Redis

Overview