CloudQueryvsvector
Two self-hosted Data Pipelines projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| CloudQuery | vector | |
|---|---|---|
| Score | 65/100 | 79/100 |
| Rank in category | #3 of 7 in Data Pipelines | #1 of 7 in Data Pipelines |
| GitHub stars | 6 545 | 22 778 |
| Stars, last 30 days | — | +173 |
| Stable releases, 12 months | 8 | 7 |
| Latest release | plugins-destination-kafka-v5.8.3 · 22 Oct 2026 | v0.60.0 · 19 Oct 2026 |
| Setup | Moderate | Moderate |
| Official Docker image | Yes | Yes |
| License | MPL-2.0 | MPL-2.0 |
| Main language | Go | Rust |
Which one should you pick?
vector scores 79/100 against 65/100 for CloudQuery, so it is the safer default.
CloudQuery ships more often: 8 stable releases in the past year, against 7 for vector.
vector is growing faster right now (+173 stars in 30 days).
CloudQuery details →vector details →All Data Pipelines projects →
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