Best Vector Databases AI Tools

7 tools compared · 2026

7 vector databases startups tracked, with the largest concentration in US. Total tracked funding: $419.3M.

All (7) By country Top ranked By funding

Tracked

Total Raised

$419.3M

Countries

Active Deals

Top by score

View all 7 →

Vespa.ai Trondheim, NO $31M

Turbopuffer Ottawa, CA $10M

Pinecone San Francisco, US $228M

Qdrant Berlin, DE $50M

Weaviate Amsterdam, NL $50M

LanceDB San Francisco, US $30M

Chroma San Francisco, US $20.3M

Funding by year — Vector Databases

2021 → 2026

$28M

’21

$2.3M

’22

$149M

’23

$100M

’24

$90M

’25

$50M

’26

Top countries

By startup count

US 3
NO 1
NL 1
DE 1
CA 1

Stage breakdown

Latest round type

Series C 2
Series A 2
Seed 2
Series B 1

Top investors backing Vector Databases

AI Grant (Nat Friedman & Daniel Gross)

Recent rounds in Vector Databases

All rounds →

Date	Startup	Round	Amount
Mar 2026	Qdrant	Series B	$50M
Dec 2025	Turbopuffer	Seed	$10M
Oct 2025	Weaviate	Series C	$50M
Jun 2025	LanceDB	Series A	$30M
Jun 2024	Pinecone	Series C	$100M
Nov 2023	Vespa.ai	Series A	$31M
Apr 2023	Pinecone	Series B	$100M
Apr 2023	Chroma	Seed	$18M

All Vector Databases startups

Page 1

Vespa.ai

NO est. 2023

Big-data serving engine for vector and lexical search

Turbopuffer

CA est. 2023

Object-storage-native vector and full-text search at massive scale

Pinecone

Verified

US est. 2019

The vector database for AI

Qdrant

DE est. 2021

High-performance vector search engine built in Rust for production-grade AI retrieval.

Weaviate

Verified

NL est. 2019

Open-source AI-native vector database

Chroma

US est. 2022

Open-source search infrastructure for AI with vector, full-text, regex, and metadata search.

LanceDB

US est. 2021

AI-native multimodal lakehouse for vector search, training data, and retrieval.