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About DataEdge

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DataEdge Details

Vendor
SecureKloud Technologies
Year Launched
2008
Location
No.10/1, Bascon Futura SV, 5th Floor, Venkatanarayana Road, T. Nagar, Chennai, Tamil Nadu - 600017
Deployment
cloud
Training Options
documentation, videos, demo
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese
Users
Data scientists, Data analysts, Cloud architects, IT administrators, AI/ML engineers, CIOs and CTOs, Compliance officers, Business intelligence professionals, Product managers, Enterprise architects
Industries Served
Healthcare, Financial services, Life sciences, Government and public sector, Retail and e-commerce, Manufacturing, Telecommunications, Insurance, Technology and software, Education and research
Tags
Data Analysis, SecureKloud, DataEdge

DataEdge's In-App Market Place

Does DataEdge have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), INR (₹), RUB (₽), MXN (Mex$)

Pros & Cons

  • Cloud-Native & AI-Ready: Built from the ground up to support scalable, secure, and AI-enhanced data processing.
  • Rapid Deployment: One-click setup accelerates go-to-market timelines by up to 90%.
  • Zero Trust Architecture: HITRUST-certified with built-in PHI/PII protection for compliant data collaboration.
  • Pre-Packaged AI/ML Tools: Comes ready with models and infrastructure for machine learning and advanced analytics.
  • Cost Optimization: Claims up to 80% savings in cloud infrastructure and operational overhead.
  • Secure Collaboration Zone: Enables privacy-first data sharing across organizations and departments.
  • Limited Public Details on Pricing: No transparent or tiered pricing available—makes it hard to budget or compare.
  • Enterprise-Focused: Likely better suited for large organizations; smaller teams may find it too complex or resource-heavy.
  • Generic AI Descriptions: Doesn’t specify which AI/ML models are included or whether custom model integration is easy.
  • No Mention of Ecosystem Integrations: Lacks detail on compatibility with major BI tools (e.g. Tableau, Power BI) or cloud platforms (AWS, Azure).
  • Marketing Overload: Heavy on buzzwords like “insight,” “secure,” and “transform”—light on use-case clarity.

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