Valkey vs Tarantool DB

Valkey8.7Visit Tarantool DB8.6Visit

Higher score Valkey #5 in In-Memory Databases 8.7/10 Open source ✓ 0 of 4 features Visit Valkey

vs

Tarantool DB #6 in In-Memory Databases 8.6/10 Pricing on request ✓ 0 of 4 features Visit Tarantool

• Valkey fits best

  Open-source Redis-compatible deployments

• Tarantool DB fits best

  Open-source self-hosted key-value and document systems

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Side by side

Feature	Valkey 8.7/10 Visit ↗	Tarantool DB 8.6/10 Visit ↗
At a glance
Editor score	8.7	8.6
Ranking	#5 in In-Memory Databases	#6 in In-Memory Databases
Best for	Open-source Redis-compatible deployments	Open-source self-hosted key-value and document systems
Pricing model	Free	Paid
Starting price	Open source	Pricing on request
Free plan	Not checked yet	Not checked yet
Free trial	—	—
Deployment	Self-hosted	Self-hosted, Cloud
Platforms	Linux, macOS	Linux, macOS
Support	Community, Docs	Email, Community, Docs · 24/7
Built for	Solo, Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Valkey 0/4 · Tarantool DB 0/4
Data persistence	Not checked yet	Not checked yet
High availability	Not checked yet	Not checked yet
SQL support	Not checked yet	Not checked yet
Vector search	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Included memory	Not checked yet	Not checked yet
Supported data models	Not checked yet	Not checked yet
Our review
Pros	Broad in-memory structures, including streams and geospatial indexes Persistence, replication, Sentinel failover, and cluster sharding Supports TTLs, Lua scripting, transactions, and publish/subscribe	Supports key-value, table, and document data models Combines persistence, replication, sharding, and ACID transactions Exports metrics to Prometheus and Grafana
Cons	Requires self-hosted deployment and infrastructure management Primarily developed and tested on Linux and macOS Managed offerings come from separate ecosystem participants	Self-hosted deployment places infrastructure management with the team In-memory storage can require careful resource planning Redis compatibility covers Redis data types and 60+ commands
Our verdict	Valkey is an open-source, BSD-licensed in-memory data structure store for databases, caching, message queues, and streaming workloads. It is designed for developers and infrastructure teams that want to deploy their own datastore on Linux,… Read the review →	Tarantool DB is an open-source, self-hosted in-memory NoSQL database for organizations building high-load, real-time services and core-system caches. It supports key-value, table, and document data models, along with CRUD operations,… Read the review →

Strengths and trade-offs

• Valkey — where it wins

  • Broad in-memory structures, including streams and geospatial indexes
  • Persistence, replication, Sentinel failover, and cluster sharding
  • Supports TTLs, Lua scripting, transactions, and publish/subscribe

  Where it doesn't

  • Requires self-hosted deployment and infrastructure management
  • Primarily developed and tested on Linux and macOS
  • Managed offerings come from separate ecosystem participants

• Tarantool DB — where it wins

  • Supports key-value, table, and document data models
  • Combines persistence, replication, sharding, and ACID transactions
  • Exports metrics to Prometheus and Grafana

  Where it doesn't

  • Self-hosted deployment places infrastructure management with the team
  • In-memory storage can require careful resource planning
  • Redis compatibility covers Redis data types and 60+ commands

• Valkey8.7/10 · Open source

  A free, self-hosted datastore for caching, messaging, streaming, and database workloads.

  Visit ValkeyFull verdict →
• Tarantool DB8.6/10 · Pricing on request

  A self-hosted choice for teams needing clustered, persistent in-memory data services.

  Visit TarantoolFull verdict →