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About ETL Validator

ETL Validator is an ETL testing software from Datagaps that ensures data quality and integrity in ETL processes. It includes automated testing, detailed reporting, and data comparison so users can validate their ETL jobs effectively. With ETL Validator, users can perform schema validation, data validation, and job performance monitoring to identify issues early in the data pipeline. The software supports various data sources and ETL tools, helping organizations maintain high data standards and minimize errors. Key capabilities: automated testing detailed reporting data comparison schema validation job performance monitoring Best for: data engineers and analysts that need to verify the accuracy and reliability of ETL processes.

ETL Validator Details

Vendor
Datagaps
Year Launched
2010
Location
13800 Coppermine Rd, Herndon,(HQ), VA 20171, USA
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Japanese, Chinese, Korean, Arabic
Users
Large and medium IT enterprises around the world.
Industries Served
Data Warehousing, Big Data, ETL, Cloud, Business Intelligence, Finance, Healthcare, Retail, Technology
Tags
Automated Testing, ETL, Data Validation, Data Integration, Data Quality, Data Transformation, Business Intelligence

ETL Validator's In-App Market Place

Does ETL Validator 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$), CHF (Fr.), CNY (¥), SEK (kr), INR (₹), SGD (S$), HKD (HK$), NZD (NZ$)

Pros & Cons

  • Comprehensive Testing: Validates 100% of data, supports various data sources and formats, and offers user-defined data quality checks.
  • Automation Benefits: Reduces costs and accelerates time to market by automating test case execution in parallel.
  • Flexibility: Connects to a wide range of data sources (relational, cloud, big data) and offers no-code/low-code testing options.
  • Enhanced Data Quality: Provides built-in tests, custom rule creation, and AI-powered assessment for data quality checks.
  • In-Depth Analysis: Enables data profile testing (comparing data aggregates), database metadata testing (auditing schema changes), and baselining capabilities for various ETL testing scenarios.
  • Seamless Integration: Validates data across different platforms and integrates with enterprise collaboration tools for test plan sharing and reporting.
  • Learning Curve: While offering no-code options, some features may require technical expertise to use effectively.
  • Vendor Lock-In: Reliance on a single vendor could limit flexibility and potentially increase costs in the long run.

ETL Validator's Support Options

Chatbot

Available

ETL Validator's Alternatives