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DataBlend

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Software Status:Active

About DataBlend

DataBlend is a comprehensive integration platform as a service (iPaaS) solution designed to streamline data integration and automation processes for businesses.

DataBlend Details

Vendor
DataBlend
Year Launched
2017
Location
515 Moscow Road Stowe, Vermont 05672
Deployment
on premise
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Chinese, Japanese, Russian, Korean, Arabic
Users
Data Analysts, Business Intelligence Analysts, Data Engineers, Integration Specialists, IT Managers
Industries Served
Healthcare, Education, Finance, Retail, Manufacturing, Technology, Government, Hospitality, Transportation, Energy
Tags
Integration, iPaaS, Data Integration, Cloud Integration, Data Management, Data Transformation, ETL, Data Blending, Business Intelligence, Data Analytics, SaaS, Data Sources, Data Warehousing.

DataBlend's In-App Market Place

Does DataBlend have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF), NZD (NZ$), MXN (MXN$), SGD (S$)

Pros & Cons

  • Focused on solving integration challenges specifically for finance, accounting, and planning teams.
  • Pre‑built connectors reduce the time and cost of implementing integrations.
  • Automation and scheduling cut out repetitive manual data handling and errors.
  • No‑code workflow builder makes it easier for non‑technical users to build robust integrations.
  • Cloud‑hosted service scales with business needs and centralizes integration management.
  • Geared primarily toward finance and accounting use cases, which might limit applicability for broader IT integration needs.
  • Companies with highly complex system landscapes may require more technical integration platforms.
  • Pricing and feature details are typically shared through vendor consultation.
  • Some advanced transformation logic may require additional expertise or scripting.
  • Integration depth for niche or custom applications may need custom development.

DataBlend's Support Options

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