---
title: "dragonfly vs redis"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dragonflydb-dragonfly-vs-redis-redis"
tools: ["dragonflydb-dragonfly", "redis-redis"]
---

# dragonfly vs redis

*GraphCanon updated Aug 23, 2026*

## 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.

[dragonfly](https://www.dragonflydb.io/) reports 31k GitHub stars, 1.2k forks, and 301 open issues, last pushed Aug 22, 2026. [redis](http://redis.io) has 76k stars, 25k forks, and 2.9k open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [dragonfly's repository](https://github.com/dragonflydb/dragonfly) and [redis's repository](https://github.com/redis/redis).

| | [dragonfly](/tools/dragonflydb-dragonfly.md) | [redis](/tools/redis-redis.md) |
| --- | --- | --- |
| Tagline | A modern replacement for Redis and Memcached | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. |
| Stars | 31,018 | 76,078 |
| Forks | 1,230 | 24,759 |
| Open issues | 301 | 2,905 |
| Language | C++ | C |
| Adopt for | 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 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 | - | - |
| Runtime | - | - |
| License | Other | Other |
| Categories | Vector Databases | Data & Retrieval, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [dragonfly](/tools/dragonflydb-dragonfly.md) | [redis](/tools/redis-redis.md) |
| --- | --- | --- |
| Days since push | 0d | 2d |
| Open issues (now) | 301 | 2.9k |
| Stars delta | +115 (30d) | +451 (30d) |
| Open issues delta | +9 (30d) | +22 (30d) |
| Full report | [trust report](/tools/dragonflydb-dragonfly/trust.md) | [trust report](/tools/redis-redis/trust.md) |

## Decision facts: dragonfly

- **Pricing:** unknown - 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
- **Adopt for:** 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.

## Decision facts: redis

- **Adopt for:** 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.

## Choose when

### 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.

### 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 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 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.

## 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 (76,078 vs 31,018). 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](/tools/dragonflydb-dragonfly/alternatives) and [redis alternatives](/tools/redis-redis/alternatives) ([dragonfly markdown twin](/tools/dragonflydb-dragonfly/alternatives.md), [redis markdown twin](/tools/redis-redis/alternatives.md)), 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](/compare/dragonflydb-dragonfly-vs-redis-redis.md) 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](/tools/dragonflydb-dragonfly/trust); [redis trust report](/tools/redis-redis/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=dragonflydb-dragonfly`](/api/graphcanon/graph?tool=dragonflydb-dragonfly)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_