COMPETITIVE ANALYSIS
(Matrix BI Vs. Tableau)
1
Powerful Graphical UI
●
●
●
●
●
●
●
●
●
●
 Powerful customizable user interface (UI) without
programming - high user adoption
 Powerful navigations - User defined navigation paths,
with passing parameters
 Personalized 'Start Up Page' for intuitive navigation
2
Advance Data Discovery
 Advance visual analytics platform with markers, trellis
chart and others
 Supports data exploration on grid and GEO Maps
 Minimum 30 different visualizations of charts for data
exploration
3
Self Service Data Analysis
 Powerful self service 'ad hoc' reporting and analysis
 On the fly dimension model without pre-defined cubes
(cube-less)
 Three (3) different types of grid views (Basic, Cross
Tab, List View)
 Ad-Hoc calculations on queries
4
Interactive Drill-Downs
 Ability to 'drill anywhere' from high level KPI to lower
level granularity
 Ability to 'drill anywhere' from one dimension to
another
 Advance user defined analysis path with 'passing
parameters'
5
Powerful Scripting Engine
 Powerful scripting platform with at least 50 built in
scripts
LEGEND
●
Fully
1
●
Partial
●
Minimal
6
Advance Table Calculations
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
 Table calculation on aggregated results
- Minimize changes to data model
7
What-If Analysis
 Advance 'What-If' analysis on reports
8
Modern Infographics
 Open API's for Infographics
 Library of modern visual content and templates
9
Advance Visualizations
 Library of more than 30 types of advance
visualizations
 Extendable platform for visualizations
10
Monitoring KPI's
 Easy set-up of KPI's versus targets
 Color coded indicators as controls and inside grid
11
Dynamic Time-Line
 Ability to support 'dynamic timeline'
 Data time filtering and 'Time Series'
 Supports Aging Reports - Out of box
12
Associative Dashboards
 Options for Local and Global Slicers
 Visual Slicers with data point selections
13
Unified Visual Query Platform
 Tight integration of dashboards and reports
LEGEND
●
Fully
2
●
Partial
●
Minimal
14
Powerful Responsive UI
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
 Dynamic tiles dashboards for mobile
 Auto sizing and auto scaling Dashboards
 Single rendering engine for desktop, tablet and
mobile devices
15
Story Board Dashboard
 User define 'Story Board' dashboards without
programming
 Ability to 'pass parameter' during story board
16
Location Intelligence
 Support for many mapping providers like Google,
Bing, ESRI, Map Info
 Heat Maps and zooming
17
Augmented GEO Mapping
 Support for GEO Json Files, and layering
 Configuring of pins
 Scripting on layers
18
Annotation on Chart /Grid
 User defined annotations for Charts and Grid
Parameterization to 3rd Party Application
19
 Ability to pass parameters to external application
20
Personalized Content Management
 Personal Folder and
 Public Folder
21
Comprehensive Security
 Role based content access
 Granular data security (pre'slicer)
LEGEND
●
Fully
3
●
Partial
●
Minimal
22
iFrame Integration
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
 Content integration using iFrame
23
Single Sign-On
 Single sign-on using LDAP
 Single sign-on without LDAP
24
Excel Reporting (Central Bank etc)
 Custom reports driven by Excel
25
Large Data Export
 Large data export to Excel (Million of records)
26
Excel Automation
 Using Excel as 'Data Entry' for trending
 Automated 'system alert' on data entry
27
Multi Lingual Support
 Unicode for multi-lingual
 Supports multi-currency
28
Export Functions
 Export to Excel, PDF, Power Point , JPEG
29
Self Service ETL
 Self service ETL with built in functions
 Simple steps to create dimension modeling
30
Powerful Schema Crawler
 Advanced datamining algorithms to find table
relationships
 Users verify and accept relationship after crawling
LEGEND
●
Fully
4
●
Partial
●
Minimal
31
Incremental Updates
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
 Ability to perform 'incremental updates' during data
loading
 Multiple ETL schedules
32
Advanced Bi-Modal Deployment
 Advance Bi-Modal deployment comprising 'Enterprise'
and 'Self Service'
33
Enterprise Meta Data
 Meta data modeling (Business View) centralization
 Dashboards can contain controls from different 'Meta
Data'
34
Big Data Analytics




35
Integration to Hadoop File System
Integration to Kafka (Real time streaming)
Integration to SPARK for ETL functions
Integration to Impala
IOT (Internet Of Things)
 Integration to IOT data hubs
 Insta BI as real-time front end
36
Innovative Data Wrangling (EzData)
 Data wrangling for unstructured data
 Scalable wrangling run-time
37
Fast In-Memory DB (SpeedDB)
 In-Memory aggregation engine for queries
 High performance DB
38
Cloud Platform
 Scalable 'Full Cloud' and 'hybrid Cloud' platform
 Multi-tenancy and SAAS model
LEGEND
●
Fully
5
●
Partial
●
Minimal
39
Predictive Analytics
●
●
●
●
 Integration to ‘R’
 User friendly datamining interface
40
Easy Deployment Process
 Fast and easy deployment process
 Efficient training program
LEGEND
●
Fully
●
Partial
●
Minimal
Disclaimer : Above rating is done solely for reference purposes by our community of users.
6