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Zoom Data – One Pager
Vivek Mohan
 2 
Zoom Data - Overview
Overview
 3 
Zoom Data- Pros & Cons
Pros & Cons
 Architecturally strong tool
 Good options to scale out
 Ability to create near real time interactive
dashboards using live data at scale
 Stream data to real-time reports and
visualise data as the data streams into
the uploading report
 Export to PDF and Excel supported
 Run-Time Group & User Sync, and Bulk
User/Group Import
 Multi-Tenancy Support
 One-click deployment in AWS
 Designed to work well for large touch-
screens and tablets
 Heavy Emphasis on UX: Ease-of-use &
Intuitiveness, Context-Sensitive
Controls, Optimal Information Density
etc
Pros Cons
 Limited front end functionality
 Limited options for the users to play with
 User has to wait till sharpening process
completes to see the final result for few
seconds
 No Off-Line analysis capability
 Does not have mobile apps
 Lacking Advanced collaboration tools
 No version control
 Limited audit functionality
 Limited statistical functions available
 Export to word and ppt not supported
 Ability to create reusable templates is
not available
 No Built in housekeeping and backup
 No automatic SDLC deployment
 Tool can’t generate alerts on resource
utilization
 4 
Zoom Data- Pros & Cons
Pros & Cons
 SDK available for advanced use and
customization
– Metadata SDK
– Javascript SDK
– Chart SDK
 Query API available for retrieving data
from Zoomdata for downstream use
 Strong Query Engine
– Analyzer
– Optimizer
– Executor
 Pre-built cubes or lenses not required or
recommended for Big Data scenarios
 Smart Reuse of cache across users and
queries when possible. Result set cache
can be dropped manually or it can be
scheduled
 Use Data Fusion instead of Data
Federation
Pros Cons
 Server installation on Linux only
 Memory Hungry processes

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Zoomdata

  • 1. Zoom Data – One Pager Vivek Mohan
  • 2.  2  Zoom Data - Overview Overview
  • 3.  3  Zoom Data- Pros & Cons Pros & Cons  Architecturally strong tool  Good options to scale out  Ability to create near real time interactive dashboards using live data at scale  Stream data to real-time reports and visualise data as the data streams into the uploading report  Export to PDF and Excel supported  Run-Time Group & User Sync, and Bulk User/Group Import  Multi-Tenancy Support  One-click deployment in AWS  Designed to work well for large touch- screens and tablets  Heavy Emphasis on UX: Ease-of-use & Intuitiveness, Context-Sensitive Controls, Optimal Information Density etc Pros Cons  Limited front end functionality  Limited options for the users to play with  User has to wait till sharpening process completes to see the final result for few seconds  No Off-Line analysis capability  Does not have mobile apps  Lacking Advanced collaboration tools  No version control  Limited audit functionality  Limited statistical functions available  Export to word and ppt not supported  Ability to create reusable templates is not available  No Built in housekeeping and backup  No automatic SDLC deployment  Tool can’t generate alerts on resource utilization
  • 4.  4  Zoom Data- Pros & Cons Pros & Cons  SDK available for advanced use and customization – Metadata SDK – Javascript SDK – Chart SDK  Query API available for retrieving data from Zoomdata for downstream use  Strong Query Engine – Analyzer – Optimizer – Executor  Pre-built cubes or lenses not required or recommended for Big Data scenarios  Smart Reuse of cache across users and queries when possible. Result set cache can be dropped manually or it can be scheduled  Use Data Fusion instead of Data Federation Pros Cons  Server installation on Linux only  Memory Hungry processes