IcCube: Difference between revisions
→Architecture: typo |
→Architecture: embedded analytics |
||
| Line 72: | Line 72: | ||
=== Interfaces === |
=== Interfaces === |
||
icCube uses [[Multidimensional Expressions]] (MDX) as its query language and several extensions <ref>{{cite web|url=http://cwebbbi.wordpress.com/2010/09/13/iccube/|title=Chris Webb on icCube MDX Declared Functions}}</ref> to the original language : function declarations, vector (even at measures level), matrix, objects, Java and R interactions |
icCube uses [[Multidimensional Expressions]] (MDX) as its query language and several extensions <ref>{{cite web|url=http://cwebbbi.wordpress.com/2010/09/13/iccube/|title=Chris Webb on icCube MDX Declared Functions}}</ref> to the original language : function declarations, vector (even at measures level), matrix, objects, Java and R interactions<ref>{{cite web|url=https://doc.iccube.com/?ic3topic=server.mdx_types.types_and_oo_extension|title=icCube extends MDX with OO capabilities}}</ref>. icCube patented an MDX debugger<ref>{{cite web|url=http://www.google.com.ar/patents/US8533218|title=Debugging system for multidimensional database query expressions on a processing server}}</ref>. icCube supports a standard interface and a proprietary one. The [[XML for Analysis]] (XMLA) protocol can connect to any compatible reporting tool. |
||
icCube patented an MDX debugger.<ref>{{cite web|url=http://www.google.com.ar/patents/US8533218|title=Debugging system for multidimensional database query expressions on a processing server}}</ref> |
|||
icCube supports a standard interface and a proprietary one. |
|||
The [[XML for Analysis]] (XMLA) protocol can connect to any compatible reporting tool. |
|||
icCube supports its own proprietary protocol called GVI. [[Http|HTTP]] based, it can be extended. |
icCube supports its own proprietary protocol called GVI. [[Http|HTTP]] based, it can be extended. |
||
This protocol uses the Google Visualization wire protocol |
This protocol uses the Google Visualization wire protocol<ref>{{cite web|url=https://developers.google.com/chart/interactive/docs/dev/implementing_data_source|title=Implementing the Chart Tools Datasource Protocol (V0.6)}}</ref>. Javascript is the primary implementation language and a Java mapping library is also available. |
||
Since icCube 6.8.6, the icCube server supports a JSON REST API for a programmatic access. |
Since icCube 6.8.6, the icCube server supports a JSON REST API for a programmatic access. |
||
=== Embedded Analytics === |
|||
icCube is focusing in providing a tool for [[embedded analytics]]<ref>{{cite web|url=https://doc.iccube.com/?ic3topic=devops.Embedded|title=Embedding icCube}}</ref>. |
|||
== See also == |
== See also == |
||
Revision as of 12:47, 2 June 2023
 | |
| Developer(s) | icCube software Sarl |
|---|---|
| Stable release | 8.4
/ February 17, 2023 |
| Operating system | Cross-platform (JVM) |
| Type | Online analytical processing |
| Website | www |
icCube is a company founded in Switzerland that provides business intelligence (BI) software of the same name. The software can be fully embedded, can be hosted in a managed environment or installed in a customer's machine on premises.
The BI tool allows end-users to create or edit dashboards themselves and is capable of processing data from multiple sources in real-time. The software makes the dashboards, the dashboard builder, the schema/cube builder and the server monitoring application accessible from a web browser only. No software has to be installed at the device of the end-user.
Next to the browser-based dashboard builder, data can be accessed by running queries directly on the OLAP cube using MDX, SQL or R.
History
icCube sells an online analytical processing (OLAP) server.
In June 2010 its first public community version (0.9.2) was released. Since then, the company released versions such as:
| Date | Version | Event |
|---|---|---|
| June 2010 | 0.9.2 | The very first published version (preview) of the in-memory OLAP server; MDX/XMLA support are the primary objectives. |
| November 2010 | 1 | The first features complete (such as MDX and write back) version. A community (free) version. |
| June 2011 | 1.3 | Expanded MDX support and stronger cube modeling features; the first version of the visualization library (GVI). |
| October 2011 | 2 | First version advertised for business use (vs. community). |
| April 2012 | 2.5 | First version featuring the Web Reporting server. |
| January 2013 | 3 | Better performance and more features. |
| June 2013 | 4 | A second generation calculation engine. |
| January 2015 | 4.8.2 | Improving the 4.x versions (server features and speed, Web Reporting). |
| May 2015 | 5.1 | Adding extract, transform, load features. |
| May 2016 | 5.2 | Improving the 5.x versions. |
| October 2016 | 6.0 | Brand new reporting and new server calculation engine. |
| July 2017 | 6.2 | Added Google Maps layers for GEO widgets, heat maps, etc |
| August 2017 | 6.5 | Added dashboard commenting module for collaboration |
| April 2018 | 6.6 | Improved ETL + Added dashboard discussions/comments can be filtered by current data filters. |
| April 2019 | 7.0 | New Server UI / New JSON Rest API |
| January 2020 | 7.1 | Support for Java 11 and onwards |
| March 2023 | 8.0 | New dashboard module (React, Redux, Mui) |
| February 2023 | 8.4 | Java 17, multiprocess support for DOCS, available as a Docker,[1] libraries in Github[2] |
Architecture
icCube is implemented in the Java programming language and follows J2EE standards. For the latter, it embeds both an HTTP server (Jetty) and a servlet container to handle all the communication tasks.
Being an in-memory OLAP server, the icCube server does not need to source its data from a RDBMS; any data source that exposes its data in a tabular form can be used; several plugins exists for accessing files, HTTP stream, etc. Accessing datasource that expose JSON objects is also supported (e.g., MongoDB). icCube is then taking care of possibly complex relations (e.g., many-2-many) implied by the JSON structure.
Accessing icCube (cube modeling, server monitoring, MDX queries, Web reporting and dashboards) is performed through a Web interface and a JSON Rest API.
The icCube OLAP server does not use any caching or pre-aggregation mechanism.
Interfaces
icCube uses Multidimensional Expressions (MDX) as its query language and several extensions [3] to the original language : function declarations, vector (even at measures level), matrix, objects, Java and R interactions[4]. icCube patented an MDX debugger[5]. icCube supports a standard interface and a proprietary one. The XML for Analysis (XMLA) protocol can connect to any compatible reporting tool.
icCube supports its own proprietary protocol called GVI. HTTP based, it can be extended. This protocol uses the Google Visualization wire protocol[6]. Javascript is the primary implementation language and a Java mapping library is also available.
Since icCube 6.8.6, the icCube server supports a JSON REST API for a programmatic access.
Embedded Analytics
icCube is focusing in providing a tool for embedded analytics[7].