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Comparison

dragonfly vs redis

Verdict

Pick dragonfly if dragonflyDB positions itself as an advanced cache and database solution that competes directly with established tools like Redis and Memcached while introducing key features such as efficient support for vector search; pick redis if redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector.

Markdown twin · dragonfly alternatives · redis alternatives

GraphCanon updated 1mo

dragonfly logo

dragonfly

dragonflydb/dragonfly

★ 31kpushed Jul 23, 2026
vs
redis logo

redis

redis/redis

★ 76kpushed Jul 23, 2026

Trust & integrity

Signaldragonflyredis
Maintenance
Very active (0d since push)
As of 1mo · github_public_v1
Very active (0d since push)
As of 1mo · github_public_v1
Provenance
Not a fork · Organization account
As of 1mo · github_public_v1
Not a fork · Organization account
As of 1mo · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
dragonfly trust reportredis trust reportTrust methodology

Tagline

dragonfly
A modern replacement for Redis and Memcached
redis
Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.

Stars

dragonfly
31k
redis
76k

Forks

dragonfly
1.2k
redis
25k

Open issues

dragonfly
292
redis
2.9k

Language

dragonfly
C++
redis
C

Adopt for

dragonfly
DragonflyDB positions itself as an advanced cache and database solution that competes directly with established tools like Redis and Memcached while introducing key features such as efficient support for vector search.
redis
Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications.

Persona

dragonfly
-
redis
-

Runtime

dragonfly
-
redis
-

License

dragonfly
Other
redis
Other

Last pushed

dragonfly
Jul 23, 2026
redis
Jul 23, 2026

Categories

dragonfly
Vector Databases
redis
Data & Retrieval, Vector Databases

Trust and health

Open issues (now)

dragonfly
292
redis
2.9k

Full report

dragonfly
Trust report
redis
Trust report

Choose dragonfly if…

  • dragonfly is primarily C++; redis is C.
  • Pricing: The specific cost structure for using DragonflyDB is not documented in this repository content..
  • Requirements: Min 4 GB RAM; DragonflyDB is most effective in environments capable of leveraging multi-threading and low-level optimization features.
  • Tags unique to dragonfly: cpp, fibers, key-value, memcached.
  • If your application requires high-performance vector search within a unified platform, DragonflyDB integrates this capability out-of-the-box.

When NOT to use dragonfly

  • When a smaller footprint is required due to limited resources or preference for lightweight solutions, older but more established tools like Memcached may be preferable.
  • If your ecosystem already heavily relies on Redis-specific features that have been built over years of use and customization, DragonflyDB might not offer the same level of compatibility or feature set
GitHubDetails

Choose redis if…

  • redis is primarily C; dragonfly is C++.
  • Tags unique to redis: caching, json, key-value-store, nosql.
  • Also covers Data & Retrieval.
  • You need high-speed access to frequently used data due to Redis's in-memory nature.

When NOT to use redis

  • Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets.
  • You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases.
  • Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.
GitHubDetails

Explore

dragonfly trust report →redis trust report →Vector Databases category →Data & Retrieval category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dragonfly 31k · redis 76k (synced Jul 23, 2026).

Common questions

What is the difference between dragonfly and redis?
dragonfly: A modern replacement for Redis and Memcached. redis: Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.. See the comparison table for live GitHub stats and shared categories.
When should I choose dragonfly over redis?
Choose dragonfly over redis when dragonfly is primarily C++; redis is C; Pricing: The specific cost structure for using DragonflyDB is not documented in this repository content.; Requirements: Min 4 GB RAM; DragonflyDB is most effective in environments capable of leveraging multi-threading and low-level optimization features; Tags unique to dragonfly: cpp, fibers, key-value, memcached; If your application requires high-performance vector search within a unified platform, DragonflyDB integrates this capability out-of-the-box.
When should I choose redis over dragonfly?
Choose redis over dragonfly when redis is primarily C; dragonfly is C++; Tags unique to redis: caching, json, key-value-store, nosql; Also covers Data & Retrieval; You need high-speed access to frequently used data due to Redis's in-memory nature.
When should I avoid dragonfly?
When a smaller footprint is required due to limited resources or preference for lightweight solutions, older but more established tools like Memcached may be preferable. If your ecosystem already heavily relies on Redis-specific features that have been built over years of use and customization, DragonflyDB might not offer the same level of compatibility or feature set
When should I avoid redis?
Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets. You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases. Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.
Is dragonfly or redis more popular on GitHub?
redis has more GitHub stars (75,627 vs 30,903). Stars measure visibility, not whether either tool fits your constraints.
Are dragonfly and redis open source?
Yes - both are open-source projects on GitHub (dragonfly: Other, redis: Other).
Where can I find alternatives to dragonfly or redis?
GraphCanon lists graph-backed alternatives at dragonfly alternatives and redis alternatives (dragonfly markdown twin, redis markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, dragonfly or redis?
dragonfly: Very active. redis: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for dragonfly and redis?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dragonfly trust report; redis trust report.

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