PivotData REST Service Review
PivotData REST Service
Development Software
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Our score 8
What is PivotData REST Service?
Impressive Data Analysis Tool
Having used a wide range of data analysis tools in the past, I was skeptical about trying out another one. However, upon using this tool, I was pleasantly surprised by its powerful capabilities and user-friendly interface. The extensive range of features and customization options allowed me to tailor my analysis to meet my specific needs.
Key Features:
- Easy integration with existing systems
- Flexible data manipulation and aggregation options
- Ability to generate custom reports
- Responsive customer support
User Testimonials:
"This tool has revolutionized the way we analyze and interpret our data. The flexibility and efficiency it offers are unmatched." - User123
"I have been using this tool for months now and it has never failed to impress me. Highly recommended for anyone looking to enhance their data analysis processes." - DataWizard
Key Features:
- How easy is it to integrate with existing systems?
- Can custom reports be generated?
- Is customer support responsive?
Overall, I would highly recommend this data analysis tool to anyone looking to take their data analysis capabilities to the next level. Its extensive features, ease of use, and responsive support make it a standout option in the market.
Overview of PivotData REST Service
Seller :
NReco
Language supported :
English
Integrations :
Devices Supported :
Windows
Mac
Web-based
Linux
Deployment :
On Premise
Customer Types :
Small Business
Medium Business
Pricing Model :
Annual Subscription
Quote-based
Support :
Email
Phone
Live Support
Training
Overview of PivotData REST Service Features
- Unique, custom formula
- Self-service web pivot tables and pivot charts
- Keyword-based filter for rows & columns
- Embeddable web pivot table & chart builder for user-defined reports
- Percentage, difference values, custom formatting options
- Export pivot tables & charts to HTML, JSON, CSV, Excel, PDFlabels grouping with sub-totals, multiple
- Calculated members: dimensions and formula measures
- Built-in ROLAP engine for SQL/MongoDB data sources
- Sort table by values, totals or labels
- Report parameters (data source level filtering)
- Fast in-memory data cubes (no ETL, real-time reporting)
- Aggregate functions: count/count unique, sum, average, min/max, variance/standard deviation, list/list
- Values in one table
- Server-side pagination and top N limits for large pivot tables
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