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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 AnzoGraph DB?

AnzoGraph DB offers an extensive suite of analytical tools that can greatly enhance your analytical framework. This video demonstrates how AnzoGraph DB operates as a native graph database with Massively Parallel Processing (MPP) capabilities, specifically engineered for data integration and analysis. It is designed for horizontal scalability, making it ideal for online analytical processes and addressing the challenges associated with data integration. Address the intricacies of linked data and data integration with AnzoGraph DB, a prominent contender in the analytical graph database sector. The platform provides strong online performance, making it well-suited for large-scale enterprise graph applications. AnzoGraph DB is compatible with well-known semantic graph languages such as SPARQL*/OWL, and it also supports Labeled Property Graphs (LPGs). With access to a wide array of analytical, machine learning, and data science capabilities, users can uncover insights with unparalleled speed and scale. Additionally, it emphasizes the importance of context and relationships among data points during analysis, featuring extremely fast data loading and quick execution of analytical queries. This unique combination of features establishes AnzoGraph DB as an indispensable resource for organizations aiming to maximize the effectiveness of their data usage, allowing businesses to stay ahead in an increasingly data-driven world.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Docker
Google Cloud Platform
Microsoft Azure
AWS Deep Learning AMIs
Amazon EC2
Amazon Redshift
Apache Hudi
Apache Iceberg
Apache Parquet
CFN Insight
Coinbase
Delta Lake
Google Cloud BigQuery
Gremlin
Java
PostgreSQL
Snowflake
Upsolver

Integrations Supported

Amazon Web Services (AWS)
Docker
Google Cloud Platform
Microsoft Azure

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

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

PuppyGraph

Company Location

United States

Company Website

www.puppygraph.com

Company Facts

Organization Name

Cambridge Semantics

Date Founded

2007

Company Location

United States

Company Website

www.cambridgesemantics.com/anzograph/

Categories and Features

Graph Databases

Not specified

Query Engines

Not specified

Categories and Features

Graph Databases

Not specified

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