datapine

Datapine

Datapine is an easy-to-use business analytics and dashboard software that allows businesses to visualize and analyze data to gain insights and make better decisions. It helps connect data sources, create interactive dashboards, charts and maps, and collaborate across teams.
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data-visualization dashboard analytics business-intelligence

Datapine: Business Analytics Dashboard Software

Easy-to-use business analytics and dashboard software to visualize and analyze data, connect data sources, and collaborate across teams.

What is Datapine?

Datapine is an easy-to-use business analytics and dashboard software designed to help businesses visualize, analyze and gain insights from their data. It provides powerful tools to access, clean, unify and model data from multiple sources, including SQL and NoSQL databases, cloud apps, spreadsheets, CSV files and more.

Key features of Datapine include:

  • Drag-and-drop dashboard designer to easily create custom dashboards with KPIs, charts, tables, gauges, maps and other widgets.
  • Data connectors for 300+ data sources. It helps integrate data from cloud and on-prem apps, databases, files, APIs, etc.
  • Automated data modeling to quickly build dashboards without coding.
  • Interactive analysis and reporting to spot patterns, trends and insights in data.
  • Built-in alerting to notify designated teams about critical changes.
  • Role-based access and permissions to securely share dashboards.
  • Scheduled dashboard refreshes and exports to regularly review updated KPIs.
  • White label analytics to rebrand dashboards with company logo and colors.

Datapine is well-suited for businesses looking for easy self-service BI and analytics to empower teams with data-driven insights without massive IT or data warehousing investment. It provides an intuitive, guided interface to rapidly connect and model data sources and design customized dashboards.

Datapine Features

Features

  1. Drag-and-drop interface to create dashboards
  2. Connects to various data sources like SQL, NoSQL, Excel, etc
  3. Interactive visualizations like charts, graphs, maps, gauges
  4. Collaboration tools to share insights across teams
  5. Alerts and scheduled reports
  6. Mobile app to view dashboards on the go
  7. AI-powered analytics and predictions

Pricing

  • Freemium
  • Subscription-Based

Pros

Intuitive and easy to use

Great for non-technical users

Affordable pricing

Good selection of visualization types

Can handle large datasets

Cons

Limited advanced analytics capabilities

Less flexibility than open-source tools

Steep learning curve for advanced features

Lacks some enterprise-level capabilities


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