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ease
features
design
support

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Description

Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.

Description

We are a biotechnology firm in the clinical stage, dedicated to unraveling biological complexities through the integration of cutting-edge innovations spanning biology, chemistry, automation, machine learning, and engineering, all aimed at revolutionizing drug discovery. Our approach allows for enhanced precision in biological manipulation with advanced techniques like CRISPR genome editing and synthetic biology. We also achieve reliable automation for intricate laboratory processes at an unprecedented scale through the use of sophisticated robotics. By employing neural network architectures, we conduct iterative analyses and draw insights from extensive, intricate datasets generated in-house. Furthermore, we are boosting the adaptability of high-performance computing capabilities through cloud-based solutions. Our initiative harnesses new technologies to foster continuous learning cycles around our datasets, establishing us as a next-generation biopharmaceutical enterprise. This is achieved through a harmonious integration of hardware, software, and data, all dedicated to the industrialization of drug discovery. We are transforming the conventional drug discovery pipeline and boast one of the most extensive, diverse, and in-depth pipelines among technology-driven drug discovery companies. Ultimately, our mission is to enhance the efficiency and effectiveness of drug development, paving the way for breakthrough therapies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
G.V() - Gremlin IDE
KeyLines
KgBase
New Relic
ReGraph
Tom Sawyer Perspectives
metaphactory

Integrations

AWS App Mesh
AWS Marketplace
Amazon Quantum Ledger Database (QLDB)
G.V() - Gremlin IDE
KeyLines
KgBase
New Relic
ReGraph
Tom Sawyer Perspectives
metaphactory

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/neptune/

Vendor Details

Company Name

Recursion

Country

United States

Website

www.recursion.com

Product Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Alternatives

Alternatives

Dgraph Reviews

Dgraph

Hypermode