ApertureData

Vector + graph database platform for multimodal AI data, powering GenAI pipelines and intelligent agents

Verified API available Free tier
Quick facts
What is it Vector + graph database platform for multimodal AI data, powering GenAI pipelines and intelligent agents
Pricing Freemium
Free tier Yes
Platform Web Application
API Yes
Best for building retrieval-augmented generation (RAG) systems, managing and searching large multimodal datasets for model training
Domain registered 2018

Data updated Aug. 1, 2026

What does ApertureData do?

ApertureData sells ApertureDB, a database platform built specifically for multimodal AI data. Instead of stitching together separate systems for vectors, graphs, and raw files, ApertureDB handles text, documents, images, and videos natively in one place. It stores embeddings alongside the original data and metadata, so you can search across all modalities at once. The company positions it as a replacement for fragile multi-database pipelines that slow down AI development.

The platform combines a vector store, a knowledge graph, and support for unstructured data into a single system. You can run KNN searches, traverse relationships in your metadata, and augment datasets on the fly for machine learning. Performance claims include sub-10ms vector search, 2-10x faster KNN than alternatives, and 15ms lookups on billion-scale graphs. ApertureDB integrates with common AI tools like LangChain, Hugging Face, and PyTorch, and comes with a cloud-hosted option or on-premises deployment.

The product is aimed at teams building generative AI applications, RAG workflows, AI agents, or visual classification systems. It helps them avoid the months of infrastructure work normally needed to combine a vector database, a graph database, and object storage. Pricing is available on request.

#ai infrastructure#genai-pipeline#graph database#knowledge graph#multimodal ai#rag#vector database

Key features

What makes it stand out
01
Unifies text, documents, images, and videos in one native database
02
High-performance vector store with customizable engines and distance metrics
03
Advanced graph filtering with metadata that updates without schema changes
04
Designed for AI workflows: RAG, agent memory, training, and classification
05
Cloud-agnostic architecture that scales to billions of metadata entries

Who is ApertureData for?

Who benefits most from this tool
building retrieval-augmented generation (RAG) systems
managing and searching large multimodal datasets for model training
powering AI agents with persistent memory and context-aware search

Pricing

Free tier available — start without a credit card

Trial

Free
  • Shared environment
  • 1 replica
  • Public Slack support
  • Max 1 database instance
  • 30-day free trial
  • SSL encryption
  • RBAC

Basic

Custom
  • 8GB RAM
  • 2 CPU
  • 64GB Storage
  • Basic Support (Public Slack)
  • Shared environment
  • AWS, Google Cloud
  • 1 replica
  • Max 1 database instance
  • SSL encryption
  • RBAC

Standard

Custom
  • 32GB RAM
  • 8 CPU
  • 512GB Storage
  • Standard Support (Public Slack, Email)
  • 1 replica
  • Shared environment
  • Unlimited database instances
  • SSL encryption
  • RBAC

Premium

Custom
  • 48GB RAM
  • 10 CPU
  • 1TB Storage
  • Premium Support (Dedicated Slack, Email, Phone)
  • 2 Replicas
  • Shared environment
  • Unlimited database instances
  • Uptime SLA 99%
  • Cross-tier data migration
  • Logging
  • SSL encryption
  • RBAC

Custom

Custom
  • Custom Configurations
  • Flexible deployment options
  • Unlimited horizontal scaling with replication
  • Dedicated environment
  • Custom SLA
  • Custom replicas
  • Tailored support
  • Customer-managed upgrades
  • Unlimited database instances
  • AWS, Google Cloud, Azure
  • All US Regions
  • SSL encryption
  • RBAC
  • Logging

Trust & presence

Domain Domain registered 2018

Gallery

Click any image to enlarge

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