Easy Jira Data Connectivity for SAP
Access live Jira data from the full suite of SAP applications like Lumira, Analytics Cloud, & BusinessObjects Cloud. CData Cloud Hub provides real-time pure-cloud connectivity to Jira through standard data interfaces like OData, MySQL, and ODBC/JDBC. Users simply configure a data connection to Jira, expose external access through the UI, and connect their SAP applications to access live Jira data.
Benefits
SQL - The Original Data API
SQL is the 'lingua franca' of data access. If your application knows how to connect to a MySQL or SQL Database, it can integrate with Jira (or any supported data source) through the Cloud Hub.
Simplified Data Access through OData (REST)
Create OData / OpenAPI endpoints for your Jira data to ease integration with analytics, BI, reporting, and ETL tools, including SAP Analytics Cloud.
Any Data Source to Any Cloud App
Connect to data from any data source, in the cloud, from any data-centric app, tool or platform. Over 100+ supported data Sources, including Jira and growing every day.
Comprehensive Data Model & Dynamic Discovery
The Jira Connector in Cloud Hub gives you comprehensive access to all of the data exposed from Jira, including full access to dynamic data of any type.
Customizable Configuration
Configure the Cloud Hub from the command line using standard DDL statements (e.g. CREATE DATABASE) or through the straightforward point-and-click interface.
Hybrid Deployment
Our Hybrid delivery model allows you to leverage our cloud service or host your own Cloud Hub instance for private data access.
Secure Data Access
Powerful security and access management capabilities including integrated transaction monitoring, management, and data access controls. All communications channels are secured by strong SSL security.
Highly Extensible Design
The Cloud Hub exposes dozens of services that are easily accessible through simple standards-based interfaces like SOAP, REST, HTML, RSS, ATOM, JSON, XLS, and CSV.
Bi-Directional Access to Live Data
The Cloud Hub offers full Create, Read, Update, Delete (CRUD) support for integrating with live back-end data.
Features
Seamless Access to Cloud Data
Add real-time Jira data (and dozens of other sources) as a REST (OData) or as a MySQL (JDBC, ODBC) source to your SAP applications, tools, and platforms.
Connect to 100+ Cloud SaaS, Big Data, and NoSQL Sources
Unparalleled support for SaaS, Big Data, and NoSQL connectivity.
Connectivity from On-Premise or Cloud BI, ETL, & Reporting
MySQL & SQL connectivity are the most widely supported interfaces for connecting applications with data. The CData Cloud Hub enables direct connectivity from any applications that support standard database connectivity, including popular cloud BI and ETL applications.
Plans and pricing
All plans include:
Free 14-Day Trial
Includes 1 Instance For 14 DaysFree- Maximum contract 14 days
Includes 1 Instance Standard Edition
Standard Hardware Profile
Up to 3 Configured Connections
Up to 3 Users
Price unavailable in this regionStandard Hardware Profile
Up to 3 Configured Connections
Up to 3 Users
Professional
Professional Hardware Profile (2x Memory and 2x CPU over Standard)
Up to 10 Configured Connections
Up to 10 Users
Price unavailable in this regionProfessional Hardware Profile (2x Memory and 2x CPU over Standard)
Up to 10 Configured Connections
Up to 10 Users
Enterprise
Enhanced Hardware Profile
More than 10 Configured Connections
More than 10 Users
Price upon requestEnhanced Hardware Profile
More than 10 Configured Connections
More than 10 Users
Customer reviews
Technical Information
SAP Analytics Cloud for planning
The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
Resources
CData Cloud Hub - Secure Cloud Data Integration for SaaS Applications
CData Cloud Hub | SQL Access to Cloud Data
In this report, Andrew showcases how the metaphor of a database with tables, rows, and columns can be combined to create a new kind of Data API which overcomes many of the traditional limitations of R
