Cloudant vs Redis

What Cloudant is

IBM Cloudant is a proprietary managed JSON document database built on Apache CouchDB, with a compatible HTTPS API and replication protocol. The Lite plan is free for evaluation and fixes capacity at 20 reads, 10 writes and five global queries per second with 1 GB storage. Standard begins at one provisioned capacity block—100 reads, 50 writes and five global queries per second—includes 20 GB and bills capacity plus excess storage hourly. Dedicated Hardware adds workload isolation, private networking and selected compliance and key-management options. A Cloudant service is not the same as self-hosting CouchDB.

What Redis is

Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine. Because it holds all data in RAM, it provides sub-millisecond response times, making it the go-to solution for high-performance applications. Whether you need to manage real-time session data, build a leader-board, or implement a high-speed caching layer to reduce your main database load, Redis is the industry standard for speed and simplicity.

What Cloudant is built to do

JSON document database

Stores schema-flexible documents, attachments and secondary indexes behind HTTPS APIs.

CouchDB-compatible replication

Supports replication patterns between Cloudant regions and compatible CouchDB systems.

Provisioned throughput

Scales read, write and global-query capacity in linked blocks through the dashboard or API.

IBM IAM and SDKs

Integrates IBM Cloud access controls and provides supported Java, Node.js, Python, Swift, Go and mobile clients.

What Redis is built to do

In-Memory Storage

Store and retrieve data directly from RAM for maximum possible performance.

Persistence

Configure RDB or AOF to ensure your data survives a server restart.

Redis Sentinel

High availability solution for monitoring and automatic failover.

Geospatial Indexing

Store and query location data for building map-based applications.

Choose Cloudant if

• Offline or distributed applications that benefit from CouchDB-style replication
• JSON workloads dominated by key lookups and well-designed partitioned queries
• Teams able to test request-class capacity, 429 handling and multi-region conflicts

Skip Cloudant if

• The application depends on relational joins, broad ad-hoc SQL or multi-document ACID transactions
• Traffic is too unpredictable to provision and monitor request-class capacity
• A free Lite instance is being treated as a production SLA or scalable datastore

Choose Redis if

• Backend Engineers and DevOps Professionals.

Cloudant: pros & cons

• Managed document service: IBM handles database servers, upgrades, patching and core high-availability infrastructure.
• CouchDB lineage: Compatible HTTP APIs and replication ease selected CouchDB application and migration patterns.
• Explicit capacity model: Read, write and global-query throughput are provisioned in documented blocks.
• Multi-region option: Application-managed replication can support active-active regional architectures.
• Lite is evaluation capacity: It cannot scale and blocks new writes above its storage limit.
• Capacity dimensions scale together: A workload dominated by one request class may pay for unused allowances in the others.
• Exceeding throughput returns 429: Applications need retry, backoff and load testing rather than assuming automatic unlimited scale.
• Cross-region is not automatic application resilience: Conflict behavior, traffic routing, monitoring and recovery remain design responsibilities.

Redis: pros & cons

• Incredible Speed: Performs millions of operations per second with near-zero latency.
• Versatile Data Types: Supports strings, hashes, lists, sets, and sorted sets.
• Pub/Sub Support: Built-in messaging system for real-time application communication.
• Persistence Options: Can save data to disk while maintaining in-memory speed.
• RAM Limits: Your dataset size is limited by the amount of RAM available on your server.
• Complexity: Managing distributed clusters can be difficult for small teams.
• Data Loss Risk: If not configured correctly, an abrupt shutdown can lead to data loss.