risinglight
RisingLight is an Apache 2.0 licensed OLAP database system written in Rust, designed explicitly for educational purposes. The project is actively maintained but explicitly warns against production use.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | risinglightdb/risinglight |
| Owner | risinglightdb |
| Primary language | Rust |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.8k |
| Forks | 226 |
| Open issues | 57 |
| Latest release | v0.2.0 (2022-12-20) |
| Last updated | 2025-08-10 |
| Source | https://github.com/risinglightdb/risinglight |
What risinglight is
A Rust-based columnar OLAP database implementing SQL query processing, designed with an educational curriculum focus. Supports Linux/macOS deployment, includes TPC-H benchmark examples, and provides embedded database capabilities.
Get the risinglight source
Clone the repository and explore it locally.
git clone https://github.com/risinglightdb/risinglight.gitcd risinglight# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Linux/macOS only; Windows support not mentioned. Requires Rust toolchain to build from source.
- Early-stage API surface; breaking changes likely between releases. Pin dependencies carefully if embedding.
- No embedded persistence or transaction durability guarantees documented; data loss risk in production contexts.
- TPC-H benchmarking examples provided; review query performance expectations against use case before evaluation.
- Active community (1.8K stars, 226 forks) but small core maintainer base; response times and feature velocity not guaranteed.
When to avoid it — and what to weigh
- Production Analytics Workloads — Project explicitly states 'should not be used in production.' No guarantees on stability, performance, data durability, or security for live systems.
- High-Availability or Mission-Critical Systems — Latest release is v0.2.0 (2022-12-20); rapid development with unstable APIs and no backwards compatibility guarantees. Not suitable for environments requiring stability or SLAs.
- Enterprise Data Warehousing — Lacks proven operational maturity, comprehensive monitoring, cluster support, and enterprise-grade backup/recovery. Production data warehouses should use mature alternatives.
- Commercial Closed-Source Deployments Requiring Support — While Apache 2.0 permits commercial use, no commercial support, SLAs, or vendor backing are offered. Community support only via GitHub Discussions.
License & commercial use
Apache License 2.0 (Apache-2.0): permissive, royalty-free license allowing commercial use, modification, and distribution with notice and indemnification requirements. No patent grant restrictions for end users.
Apache 2.0 technically permits commercial use. However, the project explicitly warns against production use and offers no commercial support, indemnification, SLAs, or vendor backing. Use for commercial purposes carries operational risk without vendor recourse.
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 | Moderate |
| DEV.co fit | Possible |
| Assessment confidence | High |
No security audit history, vulnerability disclosure policy, or production hardening mentioned. As an educational system, security posture is not characterized. No TLS, authentication, or authorization framework documented. Should be isolated from untrusted networks and treated as research-grade software.
Alternatives to consider
Apache Datafusion (Rust)
Production-ready Rust query execution engine; more mature, better maintained, suitable for embedded analytics in Rust with stronger community backing.
DuckDB (C++)
Lightweight embedded OLAP engine with cross-platform support (Windows, macOS, Linux) and strong production maturity; better documentation and commercial ecosystem.
Apache Druid or ClickHouse (Java/C++)
Production-grade OLAP systems with clustering, high-availability, and operational tooling; suitable for enterprise analytics workloads where RisingLight is ruled out.
Build on risinglight with DEV.co software developers
RisingLight is ideal for teaching and prototyping. For production analytics, consider production-grade alternatives. Let's help you choose the right database architecture.
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risinglight FAQ
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Evaluating RisingLight for Your Project?
RisingLight is ideal for teaching and prototyping. For production analytics, consider production-grade alternatives. Let's help you choose the right database architecture.