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What is VelocityDB?

VelocityDB distinguishes itself as an exceptional database engine, celebrated for its capacity to store data with unparalleled speed and efficiency compared to rival solutions, all while maintaining a remarkably low cost. In contrast to conventional databases that depend on structured mappings to tables, JSON, or XML formats, it preserves .NET objects in their original state. Additionally, VelocityGraph, an open-source property graph database, works in perfect harmony with the VelocityDB object database. As a C# .NET noSQL object database, VelocityDB, when paired with VelocityGraph, emerges as one of the fastest, most scalable, and versatile database alternatives available today. The development team's commitment to addressing bugs is evident, as issues reported with reproducible test cases are generally resolved within a week, highlighting their dedication to quality. A key benefit of utilizing this database system is its outstanding adaptability, allowing developers to customize their applications to fulfill even the most particular specifications. With VelocityDB, users can choose the most appropriate data structures for their requirements, providing them with control over data's persistent placement, indexing, and access methods. This remarkable degree of customization not only enhances the user experience but also firmly establishes VelocityDB as a leader in the field of database technology, making it an attractive option for developers seeking efficiency and flexibility.

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.

Media

Media

Integrations Supported

Integrations Supported

AWS Deep Learning AMIs
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Hudi
Coinbase
Databricks
Delta Lake
Dremio
DuckDB
Google Cloud Platform
IPFS
Java
MotherDuck
Onehouse
Python
SingleStore
Slack
Upsolver

API Availability

Has API

API Availability

Pricing Information

$200 per 6 moths
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

VelocityDB

Date Founded

2011

Company Location

United States

Company Website

velocitydb.com

Company Facts

Organization Name

PuppyGraph

Company Location

United States

Company Website

www.puppygraph.com

Categories and Features

Embedded Database

Not specified

Graph Databases

Not specified

Categories and Features

Graph Databases

Not specified

Query Engines

Not specified

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