VectorDBZ
PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and has been in the index since 14 Jun 2026. How this is checked
VectorDBZ is an open-source desktop app for managing and analyzing vector databases. It is built for exploring, searching, and visualizing vector data, with support for browsing collections, running vector and hybrid searches, and viewing embeddings in 2D and 3D.
Inferred · not functionally tested
Overview
6 featuresPurpose: Exploring, managing, and visualizing data in multiple vector databases without relying on cloud services.
Inferred · not functionally tested
Audience: data scientists
Inferred · not functionally tested
Functions: analytics
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: WEB · deployment: browser, macos, windows, linux
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: vectordbz.com · github.com. These links do not verify the individual claims.
In the Databases (SQL, NoSQL, vector, graph) space, VectorDBZ takes a focused approach. Inferred · not functionally tested: Exploring, managing, and visualizing data in multiple vector databases without relying on cloud services. Inferred · not functionally tested: It is built as an open-source project for data scientists. Basis unknown · not verified: VectorDBZ is open source under the MIT license. Basis unknown · not verified: It runs on the web, macOS, Windows, and Linux.
Behind VectorDBZ is VectorDBZ, and it first shipped in 2025. The project is developed in the open on GitHub with 245 stars and 48 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are multi-database support, 2D/3D visualization, and encrypted credential storage. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multi-database support
- 2D/3D visualization
- Encrypted credential storage
- Custom embedding functions
- Vector search
- Hybrid search
Topics: Inferred · not functionally tested
Built with & integrations
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about VectorDBZ
- What does VectorDBZ do?
- Inferred · not functionally tested: Exploring, managing, and visualizing data in multiple vector databases without relying on cloud services. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
- Who is VectorDBZ for?
- Inferred · not functionally tested: VectorDBZ is an open-source project built for data scientists.
- Does VectorDBZ have a free plan?
- Basis unknown · not verified: Yes — VectorDBZ is open source under the MIT license and free to use.
- What platforms does VectorDBZ run on?
- Basis unknown · not verified: VectorDBZ runs on the web, macOS, Windows, and Linux.
- Is VectorDBZ still active?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 48 commits in the last 90 days.
- What projects are similar to VectorDBZ?
- Similar projects tracked by PulseGate include VectorDBBench, VectorAI DB, and VectorAI DB.VectorDBBenchVectorAI DBVectorAI DB
- Who makes VectorDBZ?
- VectorDBZ is developed by VectorDBZ.
- When did VectorDBZ launch?
- VectorDBZ first shipped in 2025.
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