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About Zoho DataPrep

Zoho DataPrep is a no-code ETL platform from Zoho that simplifies data integration and preparation. It combines features such as data change, automation, and integration with over 70 different sources so users can effectively manage raw data from various business apps and databases. The platform supports importing datasets from cloud storage, data warehouses, and additional sources, allowing for comprehensive data management. With DataPrep studio's 250+ changes, users can prepare data efficiently and convert chaotic data into actionable insights. Key capabilities: data change automation integration with multiple sources dataset import user-friendly interface Best for: data analysts and business intelligence professionals that need to prepare and integrate data for reporting and analysis.

Zoho DataPrep Details

Vendor
Zoho
Year Launched
1996
Location
Zoho Technologies Limited #2B Bayo Olagoke Close, Off Admiralty Road, Lekki Phase 1, Lagos, Nigeria
Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, Spanish, Portuguese, German, French, Dutch, Japanese, Arabic, Indonesian, Thai, Vietnamese
Users
Data Analysts, Data Engineers, Business Users, Data Scientists, Small-to-Large Enterprises, Consultants and Agencies
Industries Served
Data & Analytics, Marketing & Advertising, Retail & eCommerce, Finance, Healthcare, Manufacturing, Education, Music & Media, Technology Services
Tags
Data Preparation, Zoho DataPrep

Zoho DataPrep's In-App Market Place

Does Zoho DataPrep 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 ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), INR (₹), NIG(₦)

Pros & Cons

  • User-friendly interface with no-code functionality
  • Strong AI-driven automation for data cleansing and error detection
  • Wide integration options with Zoho and third-party platforms
  • Supports real-time collaboration across multiple users
  • Efficient for transforming and preparing data for analytics tools
  • Challenging to export dashboards and data previews
  • Subscription can be costly for smaller teams
  • Limited functionality for complex ETL processes
  • Performance lags with larger datasets
  • Some advanced features require steep learning curve

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