frostdb
FrostDB is an embeddable columnar database written in Go, designed for write-heavy observability workloads. It uses Apache Parquet for storage and Apache Arrow for queries, with support for dynamic schemas that adapt at runtime.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | polarsignals/frostdb |
| Owner | polarsignals |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.5k |
| Forks | 76 |
| Open issues | 18 |
| Latest release | Unknown |
| Last updated | 2026-07-08 |
| Source | https://github.com/polarsignals/frostdb |
What frostdb is
FrostDB implements a columnar storage engine with LSM-tree compaction, snapshot isolation via transaction watermarking, and dynamic column support for wide-column schemas. It optimizes for immutable data, leveraging Parquet sparse indices (bloom filters, min/max stats) to reduce query overhead.
Get the frostdb source
Clone the repository and explore it locally.
git clone https://github.com/polarsignals/frostdb.gitcd frostdb# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- No latest release tag in repository; assess HEAD stability and test thoroughly before committing to a dependency version.
- Dynamic schema requires careful field naming conventions (e.g., `frostdb:` tags); schema design choices will impact query performance and storage efficiency.
- Snapshot isolation lacks read-after-write consistency—readers must re-query to see new data; application code must handle eventual consistency.
- LSM compaction and index rotation are configurable; tuning in-memory levels, size thresholds, and storage backends is critical for your workload.
- Immutability simplifies concurrency but constrains use cases; confirm append-only semantics align with your data model before deep integration.
When to avoid it — and what to weigh
- Requires Update/Delete Operations — FrostDB is immutable-only. Row modifications, partial deletes, or in-place updates are not supported. Workloads needing transactional CRUD are unsuitable.
- Non-Go Ecosystem or Standalone Server — FrostDB is embedded-only and Go-native. Projects in Python, Java, or Node.js, or those requiring a shared database server with network access, should look elsewhere.
- Row-Oriented Query Patterns — FrostDB excels at column scans and aggregations. If your workload is primarily row-level point lookups (get row by ID), columnar overhead will hurt performance.
- Production-Ready Guarantee Required — README explicitly states: 'still in its infancy... not production-ready, probably has various consistency and correctness problems and all API will change.' Risk of breaking changes.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license. Allows commercial use, modification, and distribution with attribution and liability disclaimers.
Apache-2.0 is a permissive license that allows commercial use. However, given the project's stated pre-release status (not production-ready, API will change), commercial deployment carries significant risk. Ensure your legal and engineering teams review the stability guarantees and support expectations before relying on this in production systems.
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 | Good |
| Assessment confidence | Medium |
No explicit security audit, vulnerability disclosure process, or threat model documented. Immutability and local-only (embedded) deployment reduce some attack surfaces, but encryption at rest, encryption in transit, and access control are not mentioned. Security posture requires independent review before handling sensitive data.
Alternatives to consider
DuckDB
Similar embeddable columnar database; supports SQL and multiple languages (Python, R, C++); more mature and battle-tested; better for general analytics. Downside: not Go-native, less optimized for dynamic schemas.
ClickHouse
High-performance columnar OLAP engine; excellent for observability (Prometheus integration exists); standalone server model. Downside: requires separate deployment, heavier operational footprint, not embeddable.
Prometheus + Local Storage
Purpose-built for metrics; simpler schema and query model; battle-hardened in production observability. Downside: limited to time-series; storage layer not designed for broad analytics or dynamic columns beyond labels.
Build on frostdb with DEV.co software developers
FrostDB is powerful for observability and immutable workloads but pre-release. Our engineers can help you assess fit, prototype integration, and plan migration. Contact us for a technical review.
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frostdb FAQ
Is FrostDB production-ready?
Can I update or delete data once written?
Does FrostDB support SQL?
How do I persist data to cloud storage?
Work with a software development agency
DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If frostdb is part of your open-source databases roadmap, our team can implement, customize, migrate, and maintain it.
Evaluating FrostDB for Your Stack?
FrostDB is powerful for observability and immutable workloads but pre-release. Our engineers can help you assess fit, prototype integration, and plan migration. Contact us for a technical review.