Redis Alternatives for Windows

Looking for Redis alternatives? We've curated 9 top alternatives that offer similar functionality. Whether you need Windows options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.

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MongoDB

Open Source

MongoDB is a leading free and open-source NoSQL database, designed for modern applications. It offers a flexible document data model, high performance, and seamless scalability, making it ideal for various use cases from mobile to enterprise applications.

Key Features

Flexible document data model allowing for easy schema changes.
Excellent horizontal scalability through sharding.
High availability and automatic failover with replica sets.

vs Redis

Flexible document data model allowing for easy schema changes. compared to Redis

CouchDB

Open Source

Apache CouchDB is a schema-free NoSQL database built for reliability and scalability, particularly in offline-first applications. It emphasizes ease of use and fault tolerance by using a peer-based distribution model and a robust replication mechanism. Its HTTP-based API and JSON document format make it developer-friendly.

Key Features

Excellent built-in replication for offline-first and distributed systems.
Fault-tolerant architecture handles node failures and network issues.
Easy to use for web developers due to HTTP/JSON API.

vs Redis

Excellent built-in replication for offline-first and distributed systems. compared to Redis

ArangoDB

Open Source

ArangoDB is a highly scalable, multi-model NoSQL database that natively combines document, graph, and key/value data models in a single core. It supports ACID transactions across all data types and offers robust features for developers building complex, data-intensive applications.

Key Features

Native multi-model (document, graph, key/value) in a single core.
ACID transactions across different data models.
Powerful and flexible query language (AQL).

vs Redis

Native multi-model (document, graph, key/value) in a single core. compared to Redis

Cloudify

Open Source

Cloudify is an open-source cloud orchestration platform designed for automating the deployment, management, and scaling of applications across various cloud environments and infrastructure.

Key Features

Strong multi-cloud and multi-infrastructure support.
Powerful automation for the entire application lifecycle.
Open-source with an active community and extensive plugin system.

vs Redis

Strong multi-cloud and multi-infrastructure support. compared to Redis

GridGain In-Memory Data Fabric

Open Source

GridGain In-Memory Data Fabric is a comprehensive in-memory computing platform designed for high-performance, low-latency applications. It acts as a data and compute layer between applications and traditional databases, accelerating access and processing of vast amounts of data for real-time analytics, transactional workloads, and streaming data.

Key Features

Extremely low data access latency due to in-memory architecture.
High scalability and availability through distributed clustering.
Provides both SQL and key-value interfaces for data access.

vs Redis

Extremely low data access latency due to in-memory architecture. compared to Redis

RethinkDB

Open Source

RethinkDB is a free and open-source, distributed document database designed for building real-time web applications.

Key Features

Excellent real-time data pushing capabilities (changefeeds).
Elegant and programmatic query language (ReQL).
Flexible JSON document model.

vs Redis

Excellent real-time data pushing capabilities (changefeeds). compared to Redis

Hazelcast

Open Source

Hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. It provides incredibly fast data access and processing by keeping data in RAM across a cluster of machines, enabling real-time responsiveness.

Key Features

Extremely low latency due to in-memory data storage.
Highly scalable and fault-tolerant architecture automatically handles data distribution and replication.
Integrated stream processing engine for real-time analytics and event processing.

vs Redis

Extremely low latency due to in-memory data storage. compared to Redis

Apache Cassandra

Open Source

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure.

Key Features

High availability with no single point of failure.
Excellent linear scalability to handle increasing data volumes.
Fault-tolerant and resilient to node failures.

vs Redis

High availability with no single point of failure. compared to Redis

CouchBase

Open Source

Couchbase is an open-source, distributed NoSQL cloud database that provides high-performance, flexibility, and scalability for modern applications, optimized for interactive systems requiring low latency and high throughput.

Key Features

Excellent performance and low latency due to memory-first architecture.
Highly scalable and available through its distributed architecture.
Flexible document model (JSON) makes schema evolution easier.

vs Redis

Excellent performance and low latency due to memory-first architecture. compared to Redis

MongoDB

Open Source

MongoDB is a leading free and open-source NoSQL database, designed for modern applications. It offers a flexible document data model, high performance, and seamless scalability, making it ideal for various use cases from mobile to enterprise applications.

Key Features

Flexible document data model allowing for easy schema changes.
Excellent horizontal scalability through sharding.
High availability and automatic failover with replica sets.

vs Redis

Flexible document data model allowing for easy schema changes. compared to Redis

CouchDB

Open Source

Apache CouchDB is a schema-free NoSQL database built for reliability and scalability, particularly in offline-first applications. It emphasizes ease of use and fault tolerance by using a peer-based distribution model and a robust replication mechanism. Its HTTP-based API and JSON document format make it developer-friendly.

Key Features

Excellent built-in replication for offline-first and distributed systems.
Fault-tolerant architecture handles node failures and network issues.
Easy to use for web developers due to HTTP/JSON API.

vs Redis

Excellent built-in replication for offline-first and distributed systems. compared to Redis

ArangoDB

Open Source

ArangoDB is a highly scalable, multi-model NoSQL database that natively combines document, graph, and key/value data models in a single core. It supports ACID transactions across all data types and offers robust features for developers building complex, data-intensive applications.

Key Features

Native multi-model (document, graph, key/value) in a single core.
ACID transactions across different data models.
Powerful and flexible query language (AQL).

vs Redis

Native multi-model (document, graph, key/value) in a single core. compared to Redis

Cloudify

Open Source

Cloudify is an open-source cloud orchestration platform designed for automating the deployment, management, and scaling of applications across various cloud environments and infrastructure.

Key Features

Strong multi-cloud and multi-infrastructure support.
Powerful automation for the entire application lifecycle.
Open-source with an active community and extensive plugin system.

vs Redis

Strong multi-cloud and multi-infrastructure support. compared to Redis

GridGain In-Memory Data Fabric

Open Source

GridGain In-Memory Data Fabric is a comprehensive in-memory computing platform designed for high-performance, low-latency applications. It acts as a data and compute layer between applications and traditional databases, accelerating access and processing of vast amounts of data for real-time analytics, transactional workloads, and streaming data.

Key Features

Extremely low data access latency due to in-memory architecture.
High scalability and availability through distributed clustering.
Provides both SQL and key-value interfaces for data access.

vs Redis

Extremely low data access latency due to in-memory architecture. compared to Redis

RethinkDB

Open Source

RethinkDB is a free and open-source, distributed document database designed for building real-time web applications.

Key Features

Excellent real-time data pushing capabilities (changefeeds).
Elegant and programmatic query language (ReQL).
Flexible JSON document model.

vs Redis

Excellent real-time data pushing capabilities (changefeeds). compared to Redis

Hazelcast

Open Source

Hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. It provides incredibly fast data access and processing by keeping data in RAM across a cluster of machines, enabling real-time responsiveness.

Key Features

Extremely low latency due to in-memory data storage.
Highly scalable and fault-tolerant architecture automatically handles data distribution and replication.
Integrated stream processing engine for real-time analytics and event processing.

vs Redis

Extremely low latency due to in-memory data storage. compared to Redis

Apache Cassandra

Open Source

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure.

Key Features

High availability with no single point of failure.
Excellent linear scalability to handle increasing data volumes.
Fault-tolerant and resilient to node failures.

vs Redis

High availability with no single point of failure. compared to Redis

CouchBase

Open Source

Couchbase is an open-source, distributed NoSQL cloud database that provides high-performance, flexibility, and scalability for modern applications, optimized for interactive systems requiring low latency and high throughput.

Key Features

Excellent performance and low latency due to memory-first architecture.
Highly scalable and available through its distributed architecture.
Flexible document model (JSON) makes schema evolution easier.

vs Redis

Excellent performance and low latency due to memory-first architecture. compared to Redis

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MongoDB vs Redis

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CouchDB vs Redis

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ArangoDB vs Redis

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Cloudify vs Redis

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GridGain In-Memory Data Fabric vs Redis

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RethinkDB vs Redis

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Hazelcast vs Redis

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Apache Cassandra vs Redis

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CouchBase vs Redis

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