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About dataOn

DataOn by Decimal Technologies is an AI-accelerated low-code platform for building enterprise applications. It offers drag-and-drop design, workflow automation, and a large library of connectors to integrate external systems. The platform supports native app creation and modernization of legacy systems, with analytics to track operational performance. Governance and scalability features help support complex enterprise workloads. dataOn targets large organizations in finance, government, and manufacturing that need scalable digital change tools. Key capabilities AI-assisted low-code development Workflow automation tools Large connector ecosystem Native app and system modernization Enterprise reporting and analytics Best for: Enterprises modernizing processes with low-code apps.

dataOn Details

Vendor
Decimal Technologies
Year Launched
2009
Location
12th Floor, B-Tower, M3M Urbana Business Park, Golf Course Ext Rd, Sector 67, Gurugram, Haryana 122001
Deployment
cloud
Training Options
documentation
Countries Served
All Countries.
Languages
English, Spanish, French, German, Chinese, Japanese, Korean, Italian, Portuguese, Russian, Dutch.
Users
Business Owners, Developers, IT Professionals, Project Managers, Data Analysts.
Industries Served
Banking & Finance, Insurance, Government, Health Care, Education, Technology, Manufacturing, Defense
Tags
AI-Accelerated Development, No-Code Platform, Workflow Automation, Digital Transformation, Enterprise Application Development

dataOn's In-App Market Place

Does dataOn have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), INR (₹), RUB (₽), BRL (R$), MXN ($)

Pros & Cons

  • Simplifies app development with a user-friendly interface.
  • Reduces development time and costs.
  • Extensive integration capabilities.
  • Supports both coders and non-coders.
  • some specialized needs may have limitations due to pre-built components.
  • Customization may be constrained in certain scenarios.

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