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Description

Apache TinkerPop™ serves as a framework for graph computing, catering to both online transaction processing (OLTP) with graph databases and online analytical processing (OLAP) through graph analytic systems. The traversal language utilized within Apache TinkerPop is known as Gremlin, which is a functional, data-flow language designed to allow users to effectively articulate intricate traversals or queries related to their application's property graph. Each traversal in Gremlin consists of a series of steps that can be nested. In graph theory, a graph is defined as a collection of vertices and edges. Both these components can possess multiple key/value pairs referred to as properties. Vertices represent distinct entities, which may include individuals, locations, or events, while edges signify the connections among these vertices. For example, one individual might have connections to another, have participated in a certain event, or have been at a specific location recently. This framework is particularly useful when a user's domain encompasses a diverse array of objects that can be interconnected in various ways. Moreover, the versatility of Gremlin enhances the ability to navigate complex relationships within the graph structure seamlessly.

Description

Efficient and accurate data transformation into actionable insights is at your fingertips. Information is delivered precisely when you need it. Ranet OLAP swiftly extracts data from the warehouse, displaying it in a user-friendly pivot table format within seconds. The learning curve is minimal, allowing users to navigate the Ranet OLAP interface without needing specialized training. It is designed to be intuitive for both developers and non-technical users alike. The analytical report templates leveraging PivotTable functionality are straightforward and facilitate a focus on addressing business challenges. Our business intelligence tool, Ranet OLAP, is highly adaptable and can be seamlessly integrated into existing systems or with software from other developers. This flexibility ensures a comfortable user experience. With OLAP software, you can access the data you need from virtually anywhere in the world. Furthermore, visually appealing graphic extensions and controls enhance your ability to create clear and informative reports, which can easily be exported to formats such as MS Excel or .xml files, promoting wider accessibility and usability. Ultimately, Ranet OLAP empowers users to harness their data effectively and efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python

Integrations

Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$695 per year
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

tinkerpop.apache.org

Vendor Details

Company Name

Galaktikasoft

Founded

2011

Country

United States

Website

galaktika-soft.com/ranet-olap

Product Features

Product Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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