mariadb
Reduces database connection overhead and query latency for teams running MariaDB/MySQL workloads.
fast mariadb or mysql connector.
- Query large datasets from MariaDB to analyze application performance metrics
- Automate daily data exports from MySQL databases for reporting and dashboards
- Connect Claude to production databases for real-time business intelligence queries
Reduces database connection overhead and query latency for teams running MariaDB/MySQL workloads. Native performance gains directly impact application response times and reduce infrastructure costs at scale.
Data engineering teams building analytics pipelines or transactional systems on MariaDB/MySQL infrastructure.
https://www.npmjs.com/package/mariadb
By dbart
How to Get It
npx mariadb
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me query large datasets from MariaDB to analyze application performance metrics
Trust Signals Auto-scanned
Community Pulse New
- Alibaba is leading a $27M investment in MariaDB — Hacker News · 399 pts
- MariaDB to go public at $672M valuation — Hacker News · 362 pts
- Call Me Maybe: MariaDB Galera Cluster — Hacker News · 293 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 411 GitHub stars; 48 contributors; last commit 3d ago; license LGPL-2.1.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 411 GitHub stars; 48 contributors; last commit 3d ago; license LGPL-2.1.