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What is Kyubit Business Intelligence?

Effortlessly create OLAP/SQL data analytic dashboards and reports in mere minutes, leveraging features such as secure collaboration, interactive analysis, scheduled subscriptions, embedded BI tools, and multitenancy support! This streamlined approach allows for the rapid generation of customized reports and dashboards that fit your specific requirements, utilizing OLAP, SQL, and CSV data sources for seamless sharing and collaboration among users. Should you need assistance, have questions, or wish to provide feedback regarding the evaluation or production use of Kyubit Business Intelligence, do not hesitate to reach out to our team. Additionally, explore the BI Features Sheet page to discover all the key aspects of the Kyubit Business Intelligence platform, which serves as a valuable reminder of its extensive capabilities. Furthermore, you can review comprehensive documentation that includes installation and administration manuals, guides for Self-Service BI, an OLAP analysis handbook, and a user manual for dashboards. It's also important to keep abreast of the latest advancements in the Kyubit Business Intelligence platform, as it is continuously updated with new features and improvements, ensuring you are equipped with the most effective tools available. By fully utilizing these resources, you can maximize your analytics experience and drive better decision-making within your organization.

What is Apache TinkerPop?

Apache TinkerPop™ 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
KonnectzIT
Node.js
Python

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$695 one-time payment
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

Kyubit Solutions

Date Founded

2009

Company Location

Croatia

Company Website

www.kyubit.com

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

tinkerpop.apache.org

Categories and 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

Categories and Features

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