vs

Fjall vs redb

Fjall: Log-structured, embeddable key-value engine in pure Rust with keyspaces and transactions. redb: Pure-Rust embedded key-value store: copy-on-write B-trees, ACID, and a stable file format.

key differences

  • Fjall is built for larger datasets (≤ 10 TB) than redb (≤ 100 GB).
  • Only Fjall has compression.

choose fjall for

  • +Write-heavy storage inside Rust services
  • +Embedded time-series or log storage
  • +Replacing RocksDB bindings in Rust code

best at · Embedded, Time-series, Metadata

choose redb for

  • +Local persistence for Rust desktop and CLI apps
  • +Embedded metadata and index storage in Rust services
  • +Replacing sled or LMDB bindings in Rust code

best at · Embedded, Local-first, Metadata

overview
Primary model
Key-Value
Key-Value
Also supports
–
–
Type
Embedded library
Embedded library
Status
Active
Active
Developer
Marvin Jäger and contributors
Christopher Berner
First release
2023
2021
Latest version
3.1.13 (Oct 25, 2026)
4.4.0 (Oct 13, 2026)
License
Open source (permissive)MIT or Apache License 2.0
Open source (permissive)MIT or Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
15.4
13.8
Rank
#215
#245
GitHub stars
2.4K
4.9K
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Small (≤ 100 GB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Schemaless
Strict
Architecture
Embedded
Embedded
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
✓
✓
Edge
—
—
Clouds
–
–
capabilities
Transactions
✓
✓
Joins
—
—
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
—
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
—
Encryption at rest
—
—
Role-based access
—
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Rust API
Rust API
Client languages
Rust
Rust, Python
Best for
Embedded, Time-series, Metadata
Embedded, Local-first, Metadata

Fjall vs redb: FAQ

What is the difference between Fjall and redb?

Fjall: Log-structured, embeddable key-value engine in pure Rust with keyspaces and transactions. redb: Pure-Rust embedded key-value store: copy-on-write B-trees, ACID, and a stable file format. Fjall is built for larger datasets (≤ 10 TB) than redb (≤ 100 GB). Only Fjall has compression.

When should I choose Fjall over redb?

Choose Fjall for write-heavy storage inside Rust services, embedded time-series or log storage and replacing RocksDB bindings in Rust code. Choose redb for local persistence for Rust desktop and CLI apps; embedded metadata and index storage in Rust services; and replacing sled or LMDB bindings in Rust code.

Is Fjall or redb more popular?

Fjall ranks #215 on the WhichDB Score (15.4/100) and redb ranks #245 (13.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Fjall and redb open source?

Yes. Fjall is open source. License: MIT or Apache License 2.0. Yes. redb is open source. License: MIT or Apache License 2.0.