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What is PuppyGraph?

PuppyGraph enables users to seamlessly query one or more data sources through an integrated graph model. Unlike traditional graph databases, which can be expensive, require significant setup time, and demand a specialized team for upkeep, PuppyGraph streamlines the process. Many conventional systems can take hours to run multi-hop queries and struggle with managing datasets exceeding 100GB. Utilizing a separate graph database can complicate your architecture due to fragile ETL processes, which can ultimately raise the total cost of ownership (TCO). PuppyGraph, however, allows you to connect to any data source, irrespective of its location, facilitating cross-cloud and cross-region graph analytics without the need for cumbersome ETLs or data duplication. By directly integrating with your data warehouses and lakes, PuppyGraph empowers you to query your data as a graph while eliminating the hassle of building and maintaining extensive ETL pipelines commonly associated with traditional graph configurations. You can say goodbye to the delays in data access and the unreliability of ETL operations. Furthermore, PuppyGraph addresses scalability issues linked to graphs by separating computation from storage, which enhances efficient data management. Overall, this innovative solution not only boosts performance but also simplifies your overall data strategy, making it a valuable asset for any organization.

What is HyperGraphDB?

HyperGraphDB is an adaptable open-source data storage solution built on an advanced knowledge management framework utilizing directed hypergraphs. Initially designed for persistent memory applications within fields like knowledge management, artificial intelligence, and semantic web projects, it also serves as an embedded object-oriented database for Java applications of various sizes, functioning as both a graph database and a non-SQL relational database. The architecture is underpinned by generalized hypergraphs, where tuples act as the core storage elements; these tuples may include zero or more other tuples and are known as atoms. The data model enables a relational perspective, which supports higher-order, n-ary relationships, or a graph-based view, where edges can connect a diverse array of nodes and other edges. Each atom possesses a strongly-typed value that is highly customizable, with the type system deeply integrated into the hypergraph structure. This adaptability empowers developers to modify the database to meet specific project needs, establishing it as a powerful option for a variety of applications. Additionally, the system's design encourages innovative uses, making it a valuable resource for both seasoned developers and newcomers exploring advanced data management solutions.

Media

Media

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
Apache Iceberg
Apache Parquet
Databricks
Docker
DuckDB
Elasticsearch
Go
Google Cloud Platform
Google Sheets
Gremlin
IPFS
JavaScript
Microsoft Excel
MotherDuck
Slack
Unity Catalog
Upsolver

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

PuppyGraph

Company Location

United States

Company Website

www.puppygraph.com

Company Facts

Organization Name

Kobrix Software

Date Founded

2015

Company Location

United States

Company Website

hypergraphdb.org

Categories and Features

Graph Databases

Not specified

Query Engines

Not specified

Categories and Features

Graph Databases

Not specified

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