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What is Maxeler Technologies?

Maxeler provides state-of-the-art dataflow solutions that integrate effortlessly into operational data centers, enabling easy programming and oversight. These high-performance systems are designed specifically for production server environments, ensuring they work harmoniously with popular operating systems and management tools. Our powerful management software efficiently handles resource distribution, scheduling, and data transfer within the dataflow computing architecture. Moreover, Maxeler dataflow nodes are compatible with standard Linux distributions, such as Red Hat Enterprise versions 4 and 5, without requiring any modifications. Any application intended for acceleration can operate on a Maxeler node as a typical Linux executable, simplifying the transition for developers. By incorporating the dataflow library into their existing code, developers can create new applications using straightforward function interfaces to harness its features. The MaxCompiler tool offers extensive debugging assistance during the development phase, including a high-speed simulator that enables code validation before deployment. This proactive approach ensures that developers can enhance their applications while reducing the chances of errors significantly. Furthermore, Maxeler’s dedication to continuous improvement ensures that users benefit from the most recent innovations in dataflow technology, keeping them at the forefront of the industry. Ultimately, this commitment to progress positions Maxeler as a leader in the realm of dataflow solutions, driving efficiency and performance for all users.

What is Apache TinkerPop?

Apache TinkerPopâ„¢ is a dynamic graph computing framework that caters to both online transaction processing (OLTP) in graph databases and online analytical processing (OLAP) within graph analytic systems. At the heart of this framework lies Gremlin, a robust graph traversal language that empowers users to craft complex queries and traversals on their application's property graph with finesse. Each traversal in Gremlin comprises a sequence of steps that can be nested, offering significant flexibility in how data is explored and analyzed. Fundamentally, a graph is formed by interconnected vertices and edges, each capable of containing various key/value pairs referred to as properties. Vertices represent unique entities such as people, places, or events, while edges denote the relationships that link these vertices together. For instance, a vertex could signify an individual who knows another person, attended a specific event, or visited a certain place recently. This framework proves especially advantageous when tackling intricate domains filled with diverse objects (vertices) that can be linked through various types of relationships (edges). By grasping this structural design, users can maximize the potential of their data and extract meaningful insights from their interconnected networks. Ultimately, the ability to navigate and analyze such complex relationships enhances decision-making processes and drives innovation across various fields.

Media

Media

Integrations Supported

Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python
Red Hat Enterprise Linux

Integrations Supported

Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python
Red Hat Enterprise Linux

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Maxeler Technologies

Date Founded

2003

Company Location

United Kingdom

Company Website

www.maxeler.com/products/software/

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

tinkerpop.apache.org

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

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