About · DragonflyDB
DragonflyDB.
A drop-in Redis replacement with significantly higher per-node throughput.
Primary use cases
- · Caching
- · Session storage
- · Key-value lookups
Index Head-to-Head
§ Head-to-Head
DragonflyDB vs DuckDB.
A drop-in Redis replacement with significantly higher per-node throughput. · An in-process analytical SQL database — "SQLite for analytics."
Compare any pair
13 tools · 78 pairs
vs
§ Quick Verdict
Pick DragonflyDB if you need caching, session storage or key-value lookups.
Pick DuckDB if you need analytics or embedded.
§ At a Glance
- Key-value
- Category
- Analytical databases
- 2022
- First released
- 2019
- BSL 1.1
- License
- MIT
- C++
- Written in
- C++
- Yes
- Self-hostable
- Yes
- Yes
- Free tier
- Yes
- 30,490
- GitHub stars
- 38,260
- yesterday
- Last push
- yesterday
- v1.38.1
- Latest release
- v1.5.2
§ Use Case Coverage
● fits · ○ not a primary fit
Where each one fits.
- ○ ●
Analytics
Aggregations and scans over large datasets.
- ● ○
Caching
In-memory storage to relieve a slower database.
- ○ ●
Embedded
In-process database for mobile, desktop, or CLI apps.
- ● ○
Key-value lookups
Simple GET/SET of small values at high QPS.
- ● ○
Session storage
Per-user state in an expireable, fast store.
DragonflyDB DuckDB
Coverage reflects each tool's primary, well-supported use cases — not every workload it can technically handle. Tools listed as missing a case can often serve it with extra work, but a tool designed for it will be a better default.
About · DuckDB
DuckDB.
An in-process analytical SQL database — "SQLite for analytics."
Primary use cases
- · Analytics
- · Embedded
§ Also Worth Comparing
6 pairs