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About DataLark

DataLark is a data management platform from LeverX that supports SAP data migration and management. It combines how DataLark accelerates SAP data migration, architecture to cover the major data management processes, and how DataLark improves the business data management so organizations can efficiently manage data across various environments. DataLark provides a complete toolkit for diverse data management needs, allowing users to integrate, automate, and analyze data smoothly. This platform enables effective oversight and management of SAP data, ensuring data integrity and accessibility. Key capabilities: data migration acceleration comprehensive architecture for data processes business data management improvement diverse toolkit provision integration and automation support Best for: organizations that need efficient SAP data migration and management solutions.

DataLark Details

Vendor
LeverX
Year Launched
2003
Location
801 Brickell Ave, Suite 1970, Miami, Florida 33131, US
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English
Users
Data Analysts, Data Scientists, Business Analysts, IT Managers, Database Administrators
Industries Served
Manufacturing, Healthcare, Food & Beverages, IT & Telecom
Tags
Data integration, Master Data Management, ERP migration, Transactional Data Management, and Data migration

DataLark's In-App Market Place

Does DataLark have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

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

Pros & Cons

  • All-in-One Platform
  • Covers the full lifecycle of enterprise data management in a unified solution.
  • User-Friendly Interface
  • The drag-and-drop no-code/low-code interface accelerates development and reduces technical overhead.
  • SAP-Focused Strength
  • Optimized for SAP environments with native support and migration templates.
  • Comprehensive Data Quality Tools
  • Features like AI-assisted cleansing, profiling, and validation improve accuracy and reduce manual effort.
  • Deployment Flexibility
  • Supports multiple hosting models—cloud, on-premise, or hybrid—depending on enterprise needs.
  • Steep Learning Curve for New Users
  • Due to its breadth of features, initial onboarding may require training or guided support.
  • Complex Implementation in Large Enterprises
  • SAP and legacy system integrations may require professional services or custom configuration.
  • Opaque Pricing Structure
  • No transparent pricing available publicly; cost details require direct consultation.
  • AI Features May Need Tuning
  • AI-powered suggestions and validations may need fine-tuning for specific industry datasets.
  • Customization Dependency
  • Certain advanced workflows and business rules may require assistance from vendor or implementation partners.

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