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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 Polars?

Polars presents a robust Python API that embodies standard data manipulation techniques, offering extensive capabilities for DataFrame management via an expressive language that promotes both clarity and efficiency in code creation. Built using Rust, Polars strategically designs its DataFrame API to meet the specific demands of the Rust community. Beyond merely functioning as a DataFrame library, it also acts as a formidable backend query engine for various data models, enhancing its adaptability for data processing and evaluation. This versatility not only appeals to data scientists but also serves the needs of engineers, making it an indispensable resource in the field of data analysis. Consequently, Polars stands out as a tool that combines performance with user-friendliness, fundamentally enhancing the data handling experience.

Media

Media

Integrations Supported

Python
SQL
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Apache Hudi
CFN Insight
Coinbase
Elasticsearch
Google Cloud Platform
JavaScript
Microsoft Azure
Microsoft Excel
Onehouse
Unity Catalog
Upsolver

Integrations Supported

Python
SQL
Node.js
OrcaSheets
Rust

API Availability

API Availability

Has API

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

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

Polars

Company Website

www.pola.rs/

Categories and Features

Graph Databases

Not specified

Query Engines

Not specified

Categories and Features

Big Data

Not specified

Query Engines

Not specified

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