---
title: "oasysdb vs vald"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/edwinkys-oasysdb-vs-vdaas-vald"
tools: ["edwinkys-oasysdb", "vdaas-vald"]
---

# oasysdb vs vald

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick oasysdb if in-memory vector store for semantic caching with Rust implementation; pick vald if vald is a distributed vector search engine written in Go, optimized for high performance and scalability, making it suitable for applications such as image search and similarity search.

[oasysdb](https://github.com/edwinkys/oasysdb) reports 376 GitHub stars, 13 forks, and 0 open issues, last pushed Nov 29, 2024. [vald](https://vald.vdaas.org) has 1.7k stars, 95 forks, and 147 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [oasysdb's repository](https://github.com/edwinkys/oasysdb) and [vald's repository](https://github.com/vdaas/vald).

| | [oasysdb](/tools/edwinkys-oasysdb.md) | [vald](/tools/vdaas-vald.md) |
| --- | --- | --- |
| Tagline | In-memory vector store with efficient read and write performance for semantic caching | A Highly Scalable Distributed Vector Search Engine |
| Stars | 376 | 1,728 |
| Forks | 13 | 95 |
| Open issues | 0 | 147 |
| Language | Rust | Go |
| Adopt for | In-memory vector store for semantic caching with Rust implementation. | Vald is a distributed vector search engine written in Go, optimized for high performance and scalability, making it suitable for applications such as image search and similarity search. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases |

## Trust and health

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

| | [oasysdb](/tools/edwinkys-oasysdb.md) | [vald](/tools/vdaas-vald.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 659d | 2d |
| Open issues (now) | 0 | 147 |
| Stars delta | +1 (30d) | +14 (30d) |
| Open issues delta | 0 (30d) | +1 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/edwinkys-oasysdb/trust.md) | [trust report](/tools/vdaas-vald/trust.md) |

## Decision facts: oasysdb

- **Adopt for:** In-memory vector store for semantic caching with Rust implementation.

## Decision facts: vald

- **Requirements:** Requires Kubernetes 1.19 or newer.; Hardware must support AVX2 instructions for optimal performance.
- **Adopt for:** Vald is a distributed vector search engine written in Go, optimized for high performance and scalability, making it suitable for applications such as image search and similarity search.

## Choose when

### Choose oasysdb if…

- oasysdb is primarily Rust; vald is Go.
- Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql.
- When you need high-performance read/write operations in a semantic caching scenario using Rust.

### Choose vald if…

- vald is primarily Go; oasysdb is Rust.
- Requirements: Requires Kubernetes 1.19 or newer.; Hardware must support AVX2 instructions for optimal performance..
- Tags unique to vald: anng, approximate-nearest-neighbor-search, cloud-native, distributed-systems.
- When you need a scalable solution for high-dimensional data search, Vald can handle large volumes of data efficiently.

## When NOT to use oasysdb

- If your project strictly requires on-disk persistence over in-memory storage.
- When looking for non-Rust technology stack as the primary implementation language.

## When NOT to use vald

- Avoid Vald if your infrastructure does not support Kubernetes 1.19 or newer, as it is a requirement for Vald's operation.
- Do not use Vald if your hardware does not support AVX2 instructions, as this will limit the performance of the Vald Agent NGT component.
- If your project requires a non-distributed solution, Vald's distributed architecture might introduce unnecessary complexity.

## Common questions

### What is the difference between oasysdb and vald?

oasysdb: In-memory vector store with efficient read and write performance for semantic caching. vald: A Highly Scalable Distributed Vector Search Engine. See the comparison table for live GitHub stats and shared categories.

### When should I choose oasysdb over vald?

Choose oasysdb over vald when oasysdb is primarily Rust; vald is Go; Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql; When you need high-performance read/write operations in a semantic caching scenario using Rust.

### When should I choose vald over oasysdb?

Choose vald over oasysdb when vald is primarily Go; oasysdb is Rust; Requirements: Requires Kubernetes 1.19 or newer.; Hardware must support AVX2 instructions for optimal performance.; Tags unique to vald: anng, approximate-nearest-neighbor-search, cloud-native, distributed-systems; When you need a scalable solution for high-dimensional data search, Vald can handle large volumes of data efficiently.

### When should I avoid oasysdb?

If your project strictly requires on-disk persistence over in-memory storage. When looking for non-Rust technology stack as the primary implementation language.

### When should I avoid vald?

Avoid Vald if your infrastructure does not support Kubernetes 1.19 or newer, as it is a requirement for Vald's operation. Do not use Vald if your hardware does not support AVX2 instructions, as this will limit the performance of the Vald Agent NGT component. If your project requires a non-distributed solution, Vald's distributed architecture might introduce unnecessary complexity.

### Is oasysdb or vald more popular on GitHub?

vald has more GitHub stars (1,728 vs 376). Stars measure visibility, not whether either tool fits your constraints.

### Are oasysdb and vald open source?

Yes - both are open-source projects on GitHub (oasysdb: Apache-2.0, vald: Apache-2.0).

### Where can I find alternatives to oasysdb or vald?

GraphCanon lists graph-backed alternatives at [oasysdb alternatives](/tools/edwinkys-oasysdb/alternatives) and [vald alternatives](/tools/vdaas-vald/alternatives) ([oasysdb markdown twin](/tools/edwinkys-oasysdb/alternatives.md), [vald markdown twin](/tools/vdaas-vald/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/edwinkys-oasysdb-vs-vdaas-vald.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, oasysdb or vald?

oasysdb: Dormant. vald: Very active. 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 oasysdb and vald?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasysdb trust report](/tools/edwinkys-oasysdb/trust); [vald trust report](/tools/vdaas-vald/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=edwinkys-oasysdb`](/api/graphcanon/graph?tool=edwinkys-oasysdb)
- 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/_
