lotusdb
LotusDB is a high-performance key-value database written in Go that combines LSM tree and B+ tree design principles. It positions itself as a faster alternative to BadgerDB and BoltDB with lower read and space amplification.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | lotusdblabs/lotusdb |
| Owner | lotusdblabs |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 2.3k |
| Forks | 188 |
| Open issues | 17 |
| Latest release | v2.1.0 (2024-05-18) |
| Last updated | 2025-02-18 |
| Source | https://github.com/lotusdblabs/lotusdb |
What lotusdb is
LotusDB implements a hybrid storage engine in Go supporting both LSM and B+ tree access patterns, targeting reduced read/write amplification compared to traditional LSM stores. The project provides simple Put/Get/Delete operations and appears oriented toward embedded or application-level key-value use cases.
Get the lotusdb source
Clone the repository and explore it locally.
git clone https://github.com/lotusdblabs/lotusdb.gitcd lotusdb# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- LotusDB is a library, not a daemon; it runs in-process within your application, requiring Go to be your runtime and bundling the binary.
- Data storage is file-based on local disk; design backup and disaster recovery strategies accordingly.
- Read the examples and community discussions (Slack, GitHub Discussions) early; formal API documentation scope is unknown.
- Conduct load testing and benchmark against your specific workload patterns before committing to production, as claimed advantages (low amplification) are use-case dependent.
- Monitor open issues (currently 17); assess whether any blocking issues affect your use case.
When to avoid it — and what to weigh
- Multi-Node Distribution Required — No clear replication, clustering, or distributed consensus support mentioned in available documentation. Not suitable for high-availability or multi-datacenter deployments.
- Complex Query Requirements — LotusDB is a key-value store with no indication of secondary indexes, full-text search, or complex query language support. SQL or advanced filtering is not available.
- Production Mission-Critical Systems Without Audit — Relatively young project (created Dec 2021, ~2.3k stars). Requires thorough evaluation, load testing, and operational experience before critical production use.
- Strong Operational Guarantees in Regulated Environments — No published security audit, formal compliance certifications, or detailed consistency/durability guarantees documented. Requires review for regulated workloads (finance, healthcare, etc.).
License & commercial use
Apache License 2.0 (Apache-2.0) is a permissive, OSI-approved license that permits commercial use, modification, and distribution under stated conditions (license and notice retention, liability disclaimer).
Apache-2.0 is a permissive open-source license that does allow commercial use. However, verify your specific use case, distribution model, and liability assumptions with legal counsel. No commercial support or warranty is provided by the project; support is community-driven via GitHub issues and Slack.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
No published security audit or formal threat model is documented. LotusDB is written in Go (memory-safe relative to C/C++). Consider: data encryption at rest (unknown if supported), access control (unknown—presumed in-process only), audit logging (unknown). For regulated or sensitive data, conduct a security review and consult with your security team before production deployment.
Alternatives to consider
BadgerDB
Popular Go key-value store with LSM-tree design; more mature, larger community. LotusDB claims superior performance and lower amplification but both are actively used in Go ecosystems.
BoltDB / bbolt
B+ tree-based embedded key-value store. Simpler, proven design; LotusDB claims to improve upon it by combining LSM advantages.
RocksDB
Mature, battle-tested LSM engine in C++ with Go bindings. Wider adoption in production systems; requires C++ dependency and cgo.
Build on lotusdb with DEV.co software developers
Conduct benchmark testing with your workload, review security and consistency guarantees, and plan operational support. Our engineering team can help architect Go-based storage solutions tailored to your scale and reliability needs.
Talk to DEV.coRelated on DEV.co
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lotusdb FAQ
Can I use LotusDB in a distributed system?
Does LotusDB support transactions?
What is the performance compared to BadgerDB or RocksDB?
Is LotusDB production-ready?
Software developers & web developers for hire
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