vs

kvdb.io vs Redis Cloud

kvdb.io: Hosted key-value store driven by plain HTTP calls, with scoped access tokens, TTLs and Lua bucket scripts. Redis Cloud: Redis Ltd.'s own managed Redis on AWS, Azure and GCP, with Active-Active geo-replication and tiering.

key differences

  • Redis Cloud is built for larger datasets (≤ 1 PB) than kvdb.io (≤ 100 GB).
  • Horizontal scaling is none in kvdb.io and native in Redis Cloud.
  • Only Redis Cloud has secondary indexes, full-text search, vector search, geospatial, json.
  • kvdb.io has a serverless option; Redis Cloud does not.

choose kvdb-io for

  • +Counters and metrics from serverless functions
  • +Feature flags and small config values
  • +Prototypes and hackathon backends

best at · Coordination, Sessions, Edge

choose redis-cloud for

  • +Global session stores and leaderboards with multi-region writes
  • +Vector search and semantic caching for AI apps
  • +Managed caching across multiple clouds

best at · Cache, Sessions, Vector search

overview
Primary model
Key-Value
Key-Value
Also supports
–
Document, Vector, Time-Series, Search Engine
Type
Managed service
Managed service
Status
Active
Active
Developer
Pilvy LLC
Redis Ltd.
First release
2018
2013
Latest version
–
–
License
ProprietaryProprietary service (JavaScript client MIT)
ProprietaryRedis Cloud service terms
Free tier
—
✓
popularity
WhichDB Score
1.5
1.6
Rank
#537
#529
GitHub stars
–
–
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Small (≤ 100 GB)
Large (≤ 1 PB)
Horizontal scaling
None
Native
Multi-region
None
Active active
ACID
Limited
Limited
Consistency
Strong
Eventual, Causal
Schema
Schemaless
Schemaless
Architecture
Serverless
In memory, Distributed
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Google Cloud, Azure
capabilities
Transactions
✓
✓
Joins
—
—
Secondary indexes
—
✓
Full-text search
—
✓
Vector search
—
✓
Geospatial
—
✓
JSON
—
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
✓
✓
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
✓
Columnar storage
—
—
In-memory
—
✓
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
—
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
REST (key/prefix operations), Lua (bucket scripts)
Redis commands (RESP), Lua, Redis Query Engine (FT.*)
Client languages
JavaScript
Python, Java, JavaScript, Go, C#, Rust, Ruby, PHP
Best for
Coordination, Sessions, Edge
Cache, Sessions, Vector search, RAG

kvdb.io vs Redis Cloud: FAQ

What is the difference between kvdb.io and Redis Cloud?

kvdb.io: Hosted key-value store driven by plain HTTP calls, with scoped access tokens, TTLs and Lua bucket scripts. Redis Cloud: Redis Ltd.'s own managed Redis on AWS, Azure and GCP, with Active-Active geo-replication and tiering. Redis Cloud is built for larger datasets (≤ 1 PB) than kvdb.io (≤ 100 GB). Horizontal scaling is none in kvdb.io and native in Redis Cloud. Only Redis Cloud has secondary indexes, full-text search, vector search, geospatial, json.

When should I choose kvdb.io over Redis Cloud?

Choose kvdb.io for counters and metrics from serverless functions; feature flags and small config values; and prototypes and hackathon backends. Choose Redis Cloud for global session stores and leaderboards with multi-region writes; vector search and semantic caching for AI apps; and managed caching across multiple clouds.

Is kvdb.io or Redis Cloud more popular?

Redis Cloud ranks #529 on the WhichDB Score (1.6/100) and kvdb.io ranks #537 (1.5/100). Popularity is not fit: check the requirements that matter for your project.

Are kvdb.io and Redis Cloud open source?

No. kvdb.io is proprietary, closed-source software. No. Redis Cloud is proprietary, closed-source software. License: Redis Cloud service terms.