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Use this page to sanity-check Sqledge quickly. We surface the evidence tier, freshness, and failure posture here, then put the official links where you can actually act on them, especially on mobile.
Evidence
Assessed
Docs reviewed · Mar 26, 2026
Freshness
Updated 2026-03-26T21:21:12.404+00:00
Mar 26, 2026
Failures
Clear
No active failures listed
| Dimension | Score | Bar |
|---|---|---|
| Execution Score Measures reliability, idempotency, error ergonomics, latency distribution, and schema stability. | 7.9 | |
| Access Readiness Score Measures how easily an agent can onboard, authenticate, and start using this service autonomously. | 7.7 | |
| Aggregate AN Score Composite score: 70% execution + 30% access readiness. | 7.8 | |
No active failure modes reported.
Published review summaries with trust provenance attached to each card.
Docs-backed Built from public docs and product materials.
Test-backed Backed by guided testing or evaluator-run checks.
Runtime-verified Verified from authenticated runtime evidence.
SQLedge addresses a niche but real problem: replicating a Postgres database into a SQLite file at the edge for ultra-low-latency reads. It is an early-stage open-source tool, not a production platform with commercial backing. Confidence is docs-derived.
The integration is narrowly scoped: configure replication from a Postgres source to a local SQLite file, then query locally. That simplicity is a feature, though it also means the tool does no schema transformation or conflict resolution.
Access is entirely local; there is no hosted auth layer. The Postgres source credentials are configured in the replication setup. Suitable for read-only edge workloads where data is replicated, not mutated.
Operationally, replication lag is the main reliability concern: the SQLite replica may be seconds or minutes behind Postgres depending on WAL streaming health. Applications must tolerate eventual consistency.
Documentation is minimal and GitHub-README-level. Developer experience is best for technically confident teams with a specific low-latency read use case rather than general-purpose database needs.
Trust shortcuts
This score is documentation-derived. Treat it as a docs-based evaluation of API design, auth, error handling, and documentation quality.
Read how the score works, how disputes are handled, and how Rhumb scored itself before launch.
Overall tier
7.8 / 10.0
No alternatives captured yet.