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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

KgBase, short for Knowledge Graph Base, is a powerful collaborative database that features version control, analytics, and visualization tools. It enables individuals and communities to craft knowledge graphs that help derive insights from their data. Users can seamlessly import CSV files and spreadsheets or utilize the API for collaborative data work. With KgBase, you can create knowledge graphs without any coding, thanks to an intuitive user interface that allows for easy navigation of the graph and the display of results in tables, charts, and more. Engage with your graph data interactively; as you construct queries, the results are updated in real time, making the process much simpler than traditional query languages like Cypher or Gremlin. Additionally, your graph data can be represented in tabular form, so you can easily explore all results, regardless of the dataset size. KgBase is designed to handle both extensive graphs with millions of nodes and smaller projects effortlessly. Whether you prefer cloud hosting or self-hosting, it supports a diverse range of databases. You can introduce graph capabilities to your organization by starting with pre-existing templates. Moreover, any query results can be quickly transformed into visual chart representations, enhancing the interpretability of your data insights. This flexibility and ease of use make KgBase an ideal choice for anyone looking to leverage the power of knowledge graphs in their data analysis endeavors.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
AWS Marketplace Yes 
Amazon Neptune No 
Amazon Quantum Ledger Database (QLDB) Yes 
Azure Cosmos DB No 
Facebook No 
G.V() Gremlin IDE Yes 
JanusGraph No 
KeyLines Yes 
KgBase Yes 
MapWeave Yes 
Neo4j No 
New Relic Yes 
OrientDB No 
ReGraph Yes 
Tom Sawyer Perspectives Yes 
metaphactory Yes 

Integrations

AWS App Mesh No 
AWS Marketplace No 
Amazon Neptune Yes 
Amazon Quantum Ledger Database (QLDB) No 
Azure Cosmos DB Yes 
Facebook Yes 
G.V() Gremlin IDE No 
JanusGraph Yes 
KeyLines No 
KgBase No 
MapWeave No 
Neo4j Yes 
New Relic No 
OrientDB Yes 
ReGraph No 
Tom Sawyer Perspectives No 
metaphactory No 

Pricing Details

Custom Pricing based on database storage, location, etc
Free Trial No 
Free Version No 

Pricing Details

$19 per month
Free Trial Yes 
Free Version No 

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 Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/neptune/

Vendor Details

Company Name

KgBase

Country

United States

Website

www.kgbase.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 

Product Features

No-Code Development

AI-Assisted Development No 
Business Process Automation No 
Collaborative Development No 
Data Aggregation and Publishing No 
Deployment Management No 
Drag & Drop No 
Integrations Management No 
Iteration Management No 
Performance Monitoring No 
Requirements Management No 
Templates No 
Visual Modeling No 
Web / Mobile App Development No 
Workflow Management No 

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