Buyer's guide

Best Vector Databases software for Startup (1-50)

6 vector databases tools that fit Startup (1-50), ranked. Compare fit and pricing, or start from the full vector databases guide.

6 matching toolsStartup (1-50)

We feature a ranked guide for this segment once at least 8 matching tools have complete profiles. For now, see the broader best vector databases software list.

1
Weaviate is an open-source, AI-native vector database that provides vector search, hybrid search, and generative search capabilities for building context-aware AI applications at scale.
Vector Databases
View profile
2
Supabase is an open-source backend platform offering hosted databases, authentication, real-time data, and storage as a Firebase alternative.
Database as a Service
$300 in credits offer
View profile
3
Pinecone provides a fully managed vector database that makes it easy to build high-performance AI applications with semantic search, RAG, and recommendation capabilities.
Database as a Service
View profile
4
MongoDB is a document database platform offering a flexible JSON-like data model for modern application development, available as self-managed or fully managed Atlas.
Database as a Service
View profile
5
Aiven provides managed open-source data infrastructure spanning databases, streaming, analytics, and search across major cloud providers.
Data Infrastructure
View profile
6
Upstash provides serverless Redis, Kafka, and vector databases designed for edge and serverless applications with per-request pricing and zero management.
Database as a Service
View profile
7
Kdb.ai: Vector database by KX Systems combining time-series data capabilities with vector search for AI applications.
Vector Databases
View profile
8
Surreal: Multi model database platform with real time collaboration and graph queries
Database
View profile
9
Lantern DB: Open-source PostgreSQL vector search extension providing fast similarity search with HNSW indexing.
Vector Databases
View profile
10
Vectorize: RAG pipeline platform that automates data ingestion, chunking, and embedding for retrieval-augmented generation.
RAG Platforms
View profile
11
Kdb+: High-performance time-series database and analytics platform for finance, manufacturing, and IoT.
Time Series Analytics
View profile
12
FeatureBase: Real-time analytics database with vector search for combining traditional analytics with AI-powered similarity queries.
Customer Feedback Analysis
View profile
13
Deep Lake: Multi-modal database for AI providing vector search, data versioning, and streaming for LLM and ML applications.
Data Lakehouse Platforms
View profile
14
LanceDB: Open-source serverless vector database built on Lance columnar format for multimodal AI applications.
Vector Databases
View profile
15
PostgresML: Managed Postgres database with machine learning inside for training and inference in SQL.
Machine Learning Platforms
View profile
16
LLMWare: Open-source framework for building AI applications with small specialized models.
AI Workflow Builders
View profile

Frequently asked

What is the best vector databases software for Startup (1-50)?

The list above features 6 vector databases tools that fit Startup (1-50). Open any profile for pricing and fit detail.