ArangoDB vs Redis

Struggling to choose between ArangoDB and Redis? Both products offer unique advantages, making it a tough decision.

ArangoDB is a Development solution with tags like nosql, multimodel, graph, document, search.

It boasts features such as Multi-model database supporting documents, graphs and key-value pairs, Flexible data models, High performance, Scalable distributed architecture, Built-in search engine, Native graph database, Joins and transactions across data models, Role-based access control, Encryption, Backups and replication and pros including Supports multiple data models in one database, Good performance for reads and writes, Scales horizontally, Has a free open source edition, Query language AQL is similar to SQL, Can be deployed on-prem or in the cloud.

On the other hand, Redis is a Development product tagged with caching, inmemory, keyvalue-store.

Its standout features include In-memory data structure store, Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams), Used as a database, cache, and message broker, Provides high performance and low latency, Supports replication, clustering, and high availability, Supports a wide range of programming languages, Provides a rich set of commands and APIs, Supports data persistence (RDB and AOF), and it shines with pros like High performance and low latency, Flexible and versatile data structures, Supports a wide range of use cases, Easy to set up and configure, Scalable and highly available, Open-source and free to use.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

ArangoDB

ArangoDB

ArangoDB is a native multi-model database system that supports graph, document, and search models. It is designed for scalability, high performance, and ease of use.

Categories:
nosql multimodel graph document search

ArangoDB Features

  1. Multi-model database supporting documents, graphs and key-value pairs
  2. Flexible data models
  3. High performance
  4. Scalable distributed architecture
  5. Built-in search engine
  6. Native graph database
  7. Joins and transactions across data models
  8. Role-based access control
  9. Encryption
  10. Backups and replication

Pricing

  • Open Source
  • Subscription-Based

Pros

Supports multiple data models in one database

Good performance for reads and writes

Scales horizontally

Has a free open source edition

Query language AQL is similar to SQL

Can be deployed on-prem or in the cloud

Cons

Not as popular as MongoDB or Neo4j

Limited ecosystem compared to bigger vendors

Steep learning curve for complex queries

No commercial support for open source edition


Redis

Redis

Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes and streams.

Categories:
caching inmemory keyvalue-store

Redis Features

  1. In-memory data structure store
  2. Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams)
  3. Used as a database, cache, and message broker
  4. Provides high performance and low latency
  5. Supports replication, clustering, and high availability
  6. Supports a wide range of programming languages
  7. Provides a rich set of commands and APIs
  8. Supports data persistence (RDB and AOF)

Pricing

  • Open Source

Pros

High performance and low latency

Flexible and versatile data structures

Supports a wide range of use cases

Easy to set up and configure

Scalable and highly available

Open-source and free to use

Cons

In-memory nature can lead to data loss in case of system failures

Complexity in setting up and maintaining a highly available Redis cluster

Limited support for transactions and complex queries compared to traditional databases

Potential for high memory usage, especially for large datasets