+
+

Related Products

  • Couchbase
    418 Ratings
    Visit Website
  • Cloudflare
    2,042 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • DataBuck
    6 Ratings
    Visit Website
  • Teradata VantageCloud
    1,121 Ratings
    Visit Website
  • Propel
    212 Ratings
    Visit Website
  • Google Compute Engine
    1,170 Ratings
    Visit Website
  • Chainstack
    34 Ratings
    Visit Website
  • Google Cloud Platform
    61,049 Ratings
    Visit Website

About

Build your competitive edge with the power of vector search. Streamline your AI/ML pipeline workflows, reduce infrastructure costs, and stay ahead of the curve with up to 10x faster time-to-market. Break free of data silos with ApertureDB's unified multimodal data management, freeing your AI teams to innovate. Set up and scale complex multimodal data infrastructure for billions of objects across your entire enterprise in days, not months. Unifying multimodal data, advanced vector search, and innovative knowledge graph with a powerful query engine to build AI applications faster at enterprise scale. ApertureDB can enhance the productivity of your AI/ML teams and accelerate returns from AI investment with all your data. Try it for free or schedule a demo to see it in action. Find relevant images based on labels, geolocation, and regions of interest. Prepare large-scale multi-modal medical scans for ML and clinical studies.

About

Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations interested in a solution to enhance the productivity of their AI/ML teams and minimize costs

Audience

Enterprises and developers who need to build AI applications that perform semantic search and generate context-aware results directly on business data

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.33 per hour
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

ApertureDB
Founded: 2018
United States
www.aperturedata.io

Company Information

Oracle
United States
www.oracle.com/database/ai-vector-search/

Alternatives

txtai

txtai

NeuML

Alternatives

txtai

txtai

NeuML

Categories

Graph Databases Supported
Vector Databases Supported

Categories

Semantic Search Supported
Vector Databases Supported

Integrations

JSON Supported
Amazon Web Services (AWS) Supported
C++ Supported
Cohere Supported
Docker Supported
Google Cloud Storage Supported
Label Studio Supported
LangChain Supported
LlamaIndex Supported
Microsoft Azure Supported
Oracle Database Not Supported
PostgreSQL Supported
PyTorch Supported
Python Supported
SQL Not Supported
Slack Supported
TensorFlow Supported
Zippin Supported
pandas Supported

Integrations

JSON Supported
Amazon Web Services (AWS) Not Supported
C++ Not Supported
Cohere Not Supported
Docker Not Supported
Google Cloud Storage Not Supported
Label Studio Not Supported
LangChain Not Supported
LlamaIndex Not Supported
Microsoft Azure Not Supported
Oracle Database Supported
PostgreSQL Not Supported
PyTorch Not Supported
Python Not Supported
SQL Supported
Slack Not Supported
TensorFlow Not Supported
Zippin Not Supported
pandas Not Supported
Claim ApertureDB and update features and information
Claim ApertureDB and update features and information
Claim Oracle AI Vector Search and update features and information
Claim Oracle AI Vector Search and update features and information