---
title: "MyScaleDB vs pgvecto.rs"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/myscale-myscaledb-vs-tensorchord-pgvecto-rs"
tools: ["myscale-myscaledb", "tensorchord-pgvecto-rs"]
---

# MyScaleDB vs pgvecto.rs

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick MyScaleDB if myScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image search; pick pgvecto.rs if pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.

[MyScaleDB](https://myscale.com) reports 1.0k GitHub stars, 73 forks, and 10 open issues, last pushed Feb 5, 2025. [pgvecto.rs](https://docs.vectorchord.ai/getting-started/overview.html) has 2.2k stars, 86 forks, and 76 open issues, last pushed Feb 26, 2025. Figures are from public GitHub metadata via [MyScaleDB's repository](https://github.com/myscale/MyScaleDB) and [pgvecto.rs's repository](https://github.com/tensorchord/pgvecto.rs).

| | [MyScaleDB](/tools/myscale-myscaledb.md) | [pgvecto.rs](/tools/tensorchord-pgvecto-rs.md) |
| --- | --- | --- |
| Tagline | A @ClickHouse fork that supports high-performance vector search and full-text search. | Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres |
| Stars | 1,043 | 2,186 |
| Forks | 73 | 86 |
| Open issues | 10 | 76 |
| Language | C++ | Rust |
| Adopt for | MyScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image search. | pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Data & Retrieval, Vector Databases | Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [MyScaleDB](/tools/myscale-myscaledb.md) | [pgvecto.rs](/tools/tensorchord-pgvecto-rs.md) |
| --- | --- | --- |
| Days since push | 592d | 568d |
| Open issues (now) | 10 | 76 |
| Stars delta | +6 (30d) | +7 (30d) |
| Full report | [trust report](/tools/myscale-myscaledb/trust.md) | [trust report](/tools/tensorchord-pgvecto-rs/trust.md) |

## Decision facts: MyScaleDB

- **Adopt for:** MyScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image search.

## Decision facts: pgvecto.rs

- **Adopt for:** pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.

## Choose when

### Choose MyScaleDB if…

- MyScaleDB is primarily C++; pgvecto.rs is Rust.
- Tags unique to MyScaleDB: ann, big-data, embedding, image-search.
- Also covers Data & Retrieval.
- - When your application requires both fast vector and full-text search capabilities within a single database system without compromising on performance.

### Choose pgvecto.rs if…

- pgvecto.rs is primarily Rust; MyScaleDB is C++.
- Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest.
- When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.

## When NOT to use MyScaleDB

- - If your primary requirement is only standard relational data operations and does not include vector or full-text search capabilities, as MyScaleDB's strength lies in these specific areas.
- - For cases where your application environment strictly avoids C++ based systems due to language-specific preferences or constraints.

## When NOT to use pgvecto.rs

- If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities.
- When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size.
- If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL.
- When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.

## Common questions

### What is the difference between MyScaleDB and pgvecto.rs?

MyScaleDB: A @ClickHouse fork that supports high-performance vector search and full-text search.. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. See the comparison table for live GitHub stats and shared categories.

### When should I choose MyScaleDB over pgvecto.rs?

Choose MyScaleDB over pgvecto.rs when MyScaleDB is primarily C++; pgvecto.rs is Rust; Tags unique to MyScaleDB: ann, big-data, embedding, image-search; Also covers Data & Retrieval; - When your application requires both fast vector and full-text search capabilities within a single database system without compromising on performance.

### When should I choose pgvecto.rs over MyScaleDB?

Choose pgvecto.rs over MyScaleDB when pgvecto.rs is primarily Rust; MyScaleDB is C++; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.

### When should I avoid MyScaleDB?

- If your primary requirement is only standard relational data operations and does not include vector or full-text search capabilities, as MyScaleDB's strength lies in these specific areas. - For cases where your application environment strictly avoids C++ based systems due to language-specific preferences or constraints.

### When should I avoid pgvecto.rs?

If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities. When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size. If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL. When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.

### Is MyScaleDB or pgvecto.rs more popular on GitHub?

pgvecto.rs has more GitHub stars (2,186 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.

### Are MyScaleDB and pgvecto.rs open source?

Yes - both are open-source projects on GitHub (MyScaleDB: Apache-2.0, pgvecto.rs: Apache-2.0).

### Where can I find alternatives to MyScaleDB or pgvecto.rs?

GraphCanon lists graph-backed alternatives at [MyScaleDB alternatives](/tools/myscale-myscaledb/alternatives) and [pgvecto.rs alternatives](/tools/tensorchord-pgvecto-rs/alternatives) ([MyScaleDB markdown twin](/tools/myscale-myscaledb/alternatives.md), [pgvecto.rs markdown twin](/tools/tensorchord-pgvecto-rs/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/myscale-myscaledb-vs-tensorchord-pgvecto-rs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, MyScaleDB or pgvecto.rs?

MyScaleDB: Dormant. pgvecto.rs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for MyScaleDB and pgvecto.rs?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MyScaleDB trust report](/tools/myscale-myscaledb/trust); [pgvecto.rs trust report](/tools/tensorchord-pgvecto-rs/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=myscale-myscaledb`](/api/graphcanon/graph?tool=myscale-myscaledb)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
