rqlite
rqlite is a distributed, fault-tolerant SQL database built on SQLite. It replicates data across multiple nodes using Raft consensus, runs as a single statically-linked binary, and exposes data via HTTP REST API. Designed for operational simplicity and high availability with minimal overhead.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | rqlite/rqlite |
| Owner | rqlite |
| Primary language | Go |
| License | MIT — OSI-approved |
| Stars | 17.6k |
| Forks | 793 |
| Open issues | 75 |
| Latest release | v10.2.7 (2026-07-06) |
| Last updated | 2026-07-07 |
| Source | https://github.com/rqlite/rqlite |
What rqlite is
Go-based distributed relational database leveraging SQLite for SQL compliance and Raft for consensus. Supports atomic multi-statement transactions, change data capture, TLS encryption, pluggable authentication, tunable read consistency (strong/weak), and hot backups to S3/MinIO/GCS. Single-node and clustered deployments both supported.
Get the rqlite source
Clone the repository and explore it locally.
git clone https://github.com/rqlite/rqlite.gitcd rqlite# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Cluster formation requires coordination mechanism (Kubernetes DNS, Consul, etcd, or Docker Compose); no embedded auto-discovery for arbitrary networks.
- Writes block on replication quorum; configure durability and read consistency carefully to avoid latency issues under load.
- Single SQLite writer per node; vertical scaling requires careful connection pooling and read/write routing on the client side.
- Backups are snapshots; restore is offline (new cluster). Plan backup frequency and retention aligned with RPO/RTO requirements.
- No built-in sharding; dataset size should fit on the largest node. Multi-node deployments are for availability, not capacity.
When to avoid it — and what to weigh
- High write throughput or large datasets — rqlite replicates all writes across the cluster synchronously; performance is bounded by SQLite's single-writer model and network latency. Not suitable for OLTP at scale or multi-gigabyte datasets.
- Complex ad-hoc analytics or OLAP — Tuned for transactional consistency, not analytical queries. No columnar storage, query optimization, or distributed query engines. Large scan operations will be slow.
- Compliance with proprietary database licensing — Built on SQLite (public domain), MIT-licensed code. Some organizations mandate commercial DBMS support contracts; rqlite has no commercial support offerings listed.
- Need for row-level security or fine-grained RBAC — Authentication/authorization exists but documentation indicates basic scope. Complex permission models require external application logic.
License & commercial use
MIT License: Permissive OSI-approved license. Allows commercial use, modification, and distribution with attribution. No patent or warranty provisions beyond standard MIT terms.
MIT is a permissive license that explicitly permits commercial use. However, no commercial support, SLA, or vendor backing is evident from the data provided. Organizations requiring liability, indemnification, or vendor support should review the maintainer's commercial support offerings (not detailed in data) or evaluate risk tolerance for community-only support.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
TLS support and basic authentication/authorization are documented. End-to-end encryption is configurable. No mention of vulnerability disclosure process, past CVEs, or penetration test results in provided data. Code is written in Go; standard memory-safety considerations apply. Authorization appears limited; complex policies require external enforcement.
Alternatives to consider
etcd
Similar use case (highly available distributed config/metadata), but key-value only. Choose etcd if you don't need SQL; choose rqlite if you need relational queries.
PostgreSQL (with replication/failover)
Full-featured RDBMS with mature tooling (pgBouncer, patroni, pg_upgrade). Choose PostgreSQL for complex queries, large scale, or if you need commercial support; rqlite is simpler for fault-tolerance on small clusters.
CockroachDB
Distributed SQL database with strong consistency and horizontal scaling. Choose CockroachDB for large datasets and multi-region deployments; choose rqlite if you want minimal operational overhead on small clusters.
Build on rqlite with DEV.co software developers
Request a technical architecture review or consultation to assess fit for your availability and scalability requirements. Devco can help design cluster topology, backup strategies, and integration patterns.
Talk to DEV.coRelated on DEV.co
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rqlite FAQ
Can I use rqlite as a drop-in replacement for PostgreSQL?
How many nodes can a rqlite cluster have?
Can I scale reads horizontally?
What happens if a node fails?
Software developers & web developers for hire
DEV.co helps companies turn open-source tools like rqlite into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source databases stack.
Evaluate rqlite for your infrastructure
Request a technical architecture review or consultation to assess fit for your availability and scalability requirements. Devco can help design cluster topology, backup strategies, and integration patterns.