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What is WeTransform?

WeTransform addresses a structural challenge faced by every B2B SaaS: the impossibility of forcing customers and partners to provide data in a single predefined format. CSVs arrive with inconsistent headers, Excels carry merged cells, PDFs hide tables, legacy ERP exports produce custom XML schemas, and each new client multiplies the variations. This is what we call format multiplication. It silently consumes engineering bandwidth, blocks deals during onboarding when prospects cannot align their data quickly enough, and forces support teams to spend mornings reshaping files. Rather than build another internal parser, B2B SaaS teams embed WeTransform inside their product. Integration takes roughly four lines of JavaScript through the @wetransform/core npm package, with React, Vue, and vanilla JavaScript bindings. An iframe embed with custom domain delivers a white-label experience under the host brand. End customers upload through the embedded interface. The AI engine performs automatic column matching (AI Mapping), normalizes unstructured documents like PDFs and merged-cell spreadsheets (Autoclean), and fills missing fields by reading row context (Fill the Gaps). Operators describe transformation rules in plain language. Customer engineers can plug in external API calls for validation or enrichment (Power Functions: SIRET checks, address verification, customer ID lookups). Data lands clean in the SaaS backend via REST API or webhook. Ingestion is multi-channel: API, webhooks, FTP, SFTP, URL polling, email. Production deployments include Cargoo, Sellermania, Autocab, ING, 23 Prod, Veloris, Senef, Armée du Salut. Onboarding cycles drop from weeks to minutes, engineering recovers about 15 percent of time previously dedicated to parser maintenance, support stops reshaping files. Rated 4.9 out of 5 on G2.

What is ETL DataHub?

ETL Solutions introduces DataHub, a powerful platform designed for data integration, orchestration, and management that caters specifically to enterprises, allowing organizations to consolidate, harmonize, and effectively leverage data from diverse sources within a well-regulated and accessible framework. This innovative platform streamlines the seamless ingestion and transformation of both structured and unstructured data, utilizing a range of pre-built connectors and mappings alongside automated workflows, change data capture, and real-time data pipelines that support analytics, reporting, and AI/ML projects. Built to operate efficiently in hybrid and multi-cloud environments, DataHub integrates metadata and business logic while upholding stringent standards for data governance, lineage tracking, and quality assurance, thus enabling stakeholders to confidently harness enterprise data. In addition, its advanced orchestration engine skillfully handles complex dependencies and scheduling, ensuring prompt data delivery and consistency across varied systems, which significantly boosts overall operational efficiency. Moreover, DataHub's user-friendly interface and robust capabilities empower organizations to transform their data into actionable insights, driving better decision-making and fostering innovation. Ultimately, this comprehensive platform not only enhances data management practices but also positions enterprises for future growth and success.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure

API Availability

Has API

API Availability

Pricing Information

€459/month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Squadra Software

Date Founded

2023

Company Location

Brussels, Belgium

Company Website

www.wetransform.com

Company Facts

Organization Name

ETL

Date Founded

2002

Company Location

United States

Company Website

etlsolutions.com/datahub-data-integration-service-landing/

Categories and Features

Data Integration

Not specified

Categories and Features

Data Integration

Not specified

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