duckdb vs tidb
Two of the top projects in Backends, databases and hosting, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
duckdb
In-process analytical SQL database that queries CSV, Parquet and JSON files directly
tidb
Distributed MySQL-compatible SQL database with row and columnar storage
Verdict
Both score 92; duckdb ranks higher on stars, 43,035 to 40,734. Of the 3 score parts we measure for both, duckdb leads on 1, tidb on 1 and 1 is even.
- Adoptionduckdb leads by 1 point, 92 to 91: close to even.
- FreshnessEven at 100.
- MaintenanceWe do not score duckdb on this; tidb has 81.
- Agent-readytidb leads by 30 points, 100 to 70: a wide gap.
Pick duckdb if you are
Developers needing embedded SQL analytics over local or remote data files
- Runs in-process with no server and no external dependencies
- Queries files by name in FROM, e.g. SELECT * FROM 'myfile.parquet'
Pick tidb if you are
Teams needing a scalable MySQL-compatible database for OLTP and analytics
- MySQL 8.0 compatible, so existing drivers, ORMs and tools work with few changes
- Raft replication with automated failover and configurable geographic replica placement
| What we compare | duckdb | tidb |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 92, widely used | 91, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | Not scored for this kind | 81, healthy |
| Agent-ready | 70, partly | 100, ready |
| Facts from GitHub and the README | ||
| Stars | 43k | 40.7k |
| License | MIT (permissive) | Apache-2.0 (permissive) |
| Last commit | Nov 2026 | Nov 2026 |
| Last release | Oct 2026 | Sep 2026 |
| Language | C++ | Go |
| Docker | No | Yes |
| GPU | Not stated | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
duckdb
DuckDB is an embedded analytical database written in C++ that runs inside the host application, with no separate server. It reads and writes CSV, Parquet, JSON and Excel from local disk or S3, HTTP, Azure and GCS, and can attach PostgreSQL, MySQL and SQLite databases. It ships as a CLI and as clients for Python, R, Java, Rust, Go and Wasm. It is not an AI project; it fits this list only as a data backend.
Who it is for: Developers needing embedded SQL analytics over local or remote data files
Strengths
- Runs in-process with no server and no external dependencies
- Queries files by name in FROM, e.g. SELECT * FROM 'myfile.parquet'
- Attaches PostgreSQL, MySQL and SQLite and queries them in place
- Extension system for formats, connectors and functions; clients for many languages
Weaknesses
- No AI, LLM or vector features described in the README
- Built for analytics (OLAP), not as a general multi-user application backend
- No auth, storage API or hosting layer; embedding or the quack protocol is the access path
- Building from source needs CMake, Python 3 and a C++17 compiler
tidb
TiDB is a distributed SQL database written in Go that speaks the MySQL 8.0 protocol and runs ACID transactions across nodes using two-phase commit and Raft replication. It separates compute from storage, with TiKV for rows and TiFlash for columns, so one cluster handles transactional and analytical queries. It deploys locally, on Kubernetes via TiDB Operator, or as the managed TiDB Cloud.
Who it is for: Teams needing a scalable MySQL-compatible database for OLTP and analytics
Strengths
- MySQL 8.0 compatible, so existing drivers, ORMs and tools work with few changes
- Raft replication with automated failover and configurable geographic replica placement
- HTAP: TiKV row store plus TiFlash columnar replica in the same cluster
- Compute and storage scale independently without downtime
Weaknesses
- Full cluster has several components (TiDB, TiKV, PD, TiFlash), heavier than a single-node database
- Not a full MySQL drop-in; the README points to a separate compatibility page
- Vector search is linked only via TiDB Cloud docs, so self-hosted support is unclear
- General database infrastructure, not an AI app starter
- no GPU
- Docker
- Needs TiKV, PD, TiFlash (optional)
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