What is Vald?
Vald is a cloud-native vector search platform running on Kubernetes that uses NGT for efficient nearest-neighbor search. It provides automatic indexing and backups, index replication across distributed agents, and horizontal scaling to handle billions of vectors.
What Vald does
The capabilities that matter for vector databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- Self-hosted
- Serverless / consumption pricing
- -
- ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
- NGT
- Distance metrics (cosine / dot / Euclidean)
- -
- Metadata filtering
- -
- Hybrid search (dense + sparse fusion)
- -
- Built-in BM25 / lexical
- -
- Quantization
- -
- On-disk vs in-memory
- Disk-backed
- Multi-tenancy (namespaces / collections / tenants)
- -
- Horizontal scale
- Sharded / distributed
- Consistency
- -
- Licence class
- -
- Purpose-built vs feature-of-parent
- Dedicated DBMS
Platform & deployment
Independently observed- Cloud / SaaS
- Self-hosted
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Vald FAQ
Common questions about Vald, answered from independent, dated evidence.
What is Vald?
Vald is a cloud-native vector search platform running on Kubernetes that uses NGT for efficient nearest-neighbor search. It provides automatic indexing and backups, index replication across distributed agents, and horizontal scaling to handle billions of vectors. It is indexed under Vector Databases.
Source: https://vald.vdaas.org
Can Vald be self-hosted?
Yes. Vald can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://vald.vdaas.org
Is Vald open source?
Yes. Vald is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Source: https://github.com/vdaas/vald
Vald alternatives
Other vector databases we track, ranked by the same independent score.
- Zilliz CloudA fully managed cloud service for storing, indexing, and searching high-dimensional vector data at scalemedium · 74%
- PineconeA managed vector database that maintains query speed regardless of data scalemedium · 74%
- TurbopufferA database combining vector similarity and text search built on cloud storagemedium · 61%
- EpsillaService for deploying AI agents and knowledge-based applicationslow · 29%
- ChromaA search platform purpose-built for artificial intelligencehigh · 75%
- WeaviateOpen-source vector database combining semantic search with structured data filteringmedium · 73%
Compare Vald
Side by side against other vector databases, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Vald, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 74 | 0.08 | 6.0 | ✓ |
| Development activity | 32 | 0.14 | 4.3 | ✓ |
| Security score | 66 | 0.05 | 3.6 | ✓ |
| Stars | 61 | 0.05 | 2.9 | ✓ |
| Dependent projects | 5 | 0.05 | 0.3 | ✓ |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Integrations | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 9 | mediumsource · 2026-09-11 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 3 items | mediumsource · 2026-09-10 · 72% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Ann index: NGT · Deployment: self_hosted · Storage tier: disk_backed · Product class: dedicated_dbms · Horizontal scale: sharded_distributed | mediumsource · 2026-08-16 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Go | highsource · 2026-10-13 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-13 · 95% |
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-16 · 60% |
Security
Is Vald the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Vald against the rest of the vector databases we index, using the same dated evidence weighted your way.
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Is this your product?
This profile was built from public sources without asking you. You can take the badge below and use it anywhere, and you can claim the profile to correct anything we got wrong. Both are free, and neither moves Vald up or down: nobody can buy rank here, including you.
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Verify you control the domain, then point us at the pages that state the facts about Vald and add your own description and media. Free, and it does not change the score.
- Correct anything wrong, with evidence
- Point our crawler at the pages that matter
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