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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 Dgraph?

Dgraph is a distributed graph database that is open-source, characterized by its low latency and high throughput capabilities. This database is built to effortlessly scale, accommodating both small startups and larger enterprises that manage vast datasets. It efficiently processes terabytes of structured data on standard hardware, ensuring quick responses to user queries. Dgraph is well-suited for a variety of applications, including diverse social networks, real-time recommendation systems, semantic search functionalities, pattern recognition, fraud detection, and delivering relationship data for web applications. Additionally, its versatility makes it an attractive option for businesses seeking to leverage complex data relationships effectively.

Media

Media

Integrations Supported

AWS Deep Learning AMIs
Alchemy Pay
Amazon EC2
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Parquet
DuckDB
Go
Google Cloud BigQuery
Google Cloud Platform
Google Sheets
IPFS
JavaScript
Linkurious
Onehouse
Python
SQL
SingleStore

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

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

Hypermode

Date Founded

2016

Company Location

United States

Company Website

dgraph.io

Categories and Features

Graph Databases

Not specified

Query Engines

Not specified

Categories and Features

Distributed Databases

Not specified

Graph Databases

Not specified

NoSQL Database

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

Semantic Search

Not specified

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