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Head-to-head · In-Memory Databases

Apache Ignite vs Valkey

  • Updated Oct 2026
  • Both researched from official sources
Higher score Apache Ignite #2 in In-Memory Databases 9.2/10 Open source ✓ 0 of 4 features Visit Apache Ignite
Valkey #5 in In-Memory Databases 8.7/10 Open source ✓ 0 of 4 features Visit Valkey

Our verdict

  • Highest scoreApache Ignite · 9.2/10

Apache Ignite scores higher on our rubric for in-memory databases: 9.2 against 8.7 out of 10; our editors rank them #2 and #5.

Apache Ignite is the better fit for open-source distributed SQL and in-memory systems. Valkey is the better fit for open-source Redis-compatible deployments.

  • Apache Ignite fits best

    Open-source distributed SQL and in-memory systems

  • Valkey fits best

    Open-source Redis-compatible deployments

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache Ignite 9.2/10 Visit ↗ Valkey 8.7/10 Visit ↗
At a glance
Editor score 9.2 8.7
Ranking #2 in In-Memory Databases #5 in In-Memory Databases
Best for Open-source distributed SQL and in-memory systems Open-source Redis-compatible deployments
Pricing model Free Free
Starting price Open source Open source
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Self-hosted Self-hosted
Support Community, Docs, Email Community, Docs
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Apache Ignite 0/4 · Valkey 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
  • Memory-first SQL with optional in-memory and persistent storage
  • ACID transactions, replication, clustering, and distributed compute
  • JDBC, ODBC, REST, Spring Data, and native client connectivity
  • Broad in-memory structures, including streams and geospatial indexes
  • Persistence, replication, Sentinel failover, and cluster sharding
  • Supports TTLs, Lua scripting, transactions, and publish/subscribe
Cons
  • Ignite 2 and Ignite 3 require a generation choice
  • TTL support differs between Ignite 2 and Ignite 3
  • Distributed deployment requires architecture and operational planning
  • Requires self-hosted deployment and infrastructure management
  • Primarily developed and tested on Linux and macOS
  • Managed offerings come from separate ecosystem participants
Our verdict

Apache Ignite is an open-source, memory-first distributed SQL database for mission-critical, high-velocity applications. It suits teams building distributed services that need SQL and key-value access, ACID transactions, persistent or…

Read the review →

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 →
  1. Apache IgniteIn-Memory Databases 9.2Open source
  2. ValkeyIn-Memory Databases 8.7Open source

Strengths and trade-offs

  • Apache Ignite — where it wins

    • Memory-first SQL with optional in-memory and persistent storage
    • ACID transactions, replication, clustering, and distributed compute
    • JDBC, ODBC, REST, Spring Data, and native client connectivity

    Where it doesn't

    • Ignite 2 and Ignite 3 require a generation choice
    • TTL support differs between Ignite 2 and Ignite 3
    • Distributed deployment requires architecture and operational planning
  • 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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update