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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
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