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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
alvaMolecule serves as a no-code cheminformatics platform designed to visualize, curate, and standardize molecular datasets in preparation for analysis. It accommodates popular molecular formats, including SMILES and SDF/MOL2, allowing users to navigate through collections in either grid or spreadsheet formats, with automatic import of relevant data. This tool ensures structure verification and standardization via pre-set standardizers and customizable SMIRKS rules, facilitates the identification and management of duplicates, and provides scaffold analysis for summarizing fundamental frameworks.
Additionally, it features integrated filters and charting options that allow sorting based on substructures, calculated molecular descriptors, and physicochemical properties. alvaMolecule is capable of calculating around 88 structural and physicochemical properties, which encompass drug-like and lead-like scores such as LogP, TPSA, and the Lipinski alert index, ultimately assisting users in generating high-quality datasets for QSAR/QSPR modeling, descriptor calculations, and virtual screening processes. Furthermore, its user-friendly interface ensures that researchers, regardless of their coding expertise, can easily navigate and utilize the tool to enhance their cheminformatics tasks effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS App Mesh
Yes
AWS Marketplace
Yes
Amazon Quantum Ledger Database (QLDB)
Yes
G.V() Gremlin IDE
Yes
KeyLines
Yes
KgBase
Yes
MapWeave
Yes
New Relic
Yes
ReGraph
Yes
Tom Sawyer Perspectives
Yes
Integrations
AWS App Mesh
No
AWS Marketplace
No
Amazon Quantum Ledger Database (QLDB)
No
G.V() Gremlin IDE
No
KeyLines
No
KgBase
No
MapWeave
No
New Relic
No
ReGraph
No
Tom Sawyer Perspectives
No
Pricing Details
Custom Pricing based on database storage, location, etc
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/neptune/
Vendor Details
Company Name
Alvascience
Founded
2018
Country
Italy
Website
www.alvascience.com
Product Features
NoSQL Database
Auto-sharding
Yes
Automatic Database Replication
Yes
Data Model Flexibility
Yes
Deployment Flexibility
Yes
Dynamic Schemas
Yes
Integrated Caching
Yes
Multi-Model
Yes
Performance Management
Yes
Security Management
Yes
