datapine

datapine

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Score 9.0 out of 100
datapine

Overview

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Pricing

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Basic

$249

Cloud
per installation

Professional

$499

Cloud
per installation

Premium

$769

Cloud
per installation

Entry-level set up fee?

  • $2,000 per installationOptional
For the latest information on pricing, visithttp://www.datapine.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Features Scorecard

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Product Details

What is datapine?

datapine is a business intelligence and and data visualization solution that is focused on self-service. The vendor says their solution offers an intuitive interface for data analysis and discovery combined with well-designed interactive dashboards to quickly deliver insights across and beyond the user’s organization. No coding skills are required. Additionally, the vendor says they help businesses monitor KPIs and their artificial algorithms learn from the user’s data and inform them as soon as something unexpected occurs.

All dashboards in this solution can be customized and easily integrated with any third party application.

datapine Features

BI Platform Features

  • Supported: Administration via Web Interface
  • Supported: Live Connection to External Data
  • Supported: Snapshot of External Data
  • Supported: ROLAP (SQL-layer querying)
  • Supported: Multi-Data Source Reporting (Blending)
  • Supported: Data warehouse / dictionary layer
  • Supported: ETL Capability
  • Supported: ETL Scheduler

Supported Data Sources Features

  • Supported: MS Excel Workbooks
  • Supported: Text Files (CSV, etc)
  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: Postgres
  • Supported: MySQL
  • Supported: SAP Hana
  • Supported: Salesforce
  • Supported: SAP
  • Supported: Google Analytics

BI Standard Reporting Features

  • Supported: Pixel Perfect reports
  • Supported: Customizable dashboards

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Versioning
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Pattern Recognition and Data Mining

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Report-Level Access Control

Mobile Capabilities Features

  • Supported: Responsive Design for Web Access
  • Supported: Dashboard / Report / Visualization Interactivity on Mobile

datapine Integrations

datapine Competitors

datapine Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)20%
Mid-Size Companies (51-500 employees)60%
Enterprises (more than 500 employees)20%

datapine Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsWindows, Linux
Mobile ApplicationMobile Web
Supported CountriesAll Countries
Supported LanguagesEnglish

Comparisons

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Reviews and Ratings

 (2)

Ratings

Reviews

(1-2 of 2)
Companies can't remove reviews or game the system. Here's why
Nitish kumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Before using the datapine tool in our project, our whole analysis process was done involving several tools, some tools for generating queries, others tools for visualizing the data and generating reports. To solve this problem, we were searching for a tool that would let us automate the processes to cut down the some manual work and make our work more efficient. With the help of datapine tool, we were able to connect data sources easily and generate reports very easily in very less time with just a few clicks.
  • User interface.
  • Datapine tool has best data connectors that allowed me and my team to get all our internal and external sources of information in just one place without any problem.
  • The 14-days trial period is not fine to test all the software features.
  • In my team some members needs more time to get acquainted with the product so I would prefer more tutorials for better and fast understanding.
Our team wanted a software that can handle our data in a cloud setting and connect our data sources easily. The values that we got from Datapine cannot be compared with other any other tools Because datapine always focus on the best possible user experience and can certainly compete with other, even bigger softwares in the market.
24×7 support is available in Datapine software. They are always there to provide you every kind of support from their side.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Datapine was used to optimize internal reporting practices. It addressed the problem of ineffective reporting within the market research & product development department regarding the analysis results of market research studies. Instead of using Excel and PowerPoint files, we started implementing interactive business dashboards to make the reporting and sharing of results more efficient and interactive.
  • Intuitive user interface, especially within the analyzer (drag & drop).
  • Dashboard templates helped to create visually appealing dashboards.
  • Many different reporting options.
  • Customer support is really helpful.
  • Some advanced functions need SQL knowledge.
For someone like me, who had no real experience in using BI tools before, datapine suits quite well. Most of the features I was able to explore on my own, and their support was always really helpful (as well as the tutorials). In general, I was most impressed from their dashboard features. If you look for a software with detailed statistical analysis options, you maybe need to take another (additional) tool. My main use-case was the visualization and reporting of the analysis results, not the statistical analysis itself. This usually was done before with SPSS.