DataOps DataFlow Description
Apache Spark provides a holistic component-based platform to automate Data Reconciliation tests for modern Data Lake and Cloud Data Migration Projects.
DataOps DataFlow provides a modern web-based solution to automate the testing of ETL projects, Data Warehouses, and Data Migrations. Use Dataflow to load data from a variety of data sources, compare the data, and load differences into S3 or a Database. Create and run dataflow quickly and easily. A top-of-the-class testing tool for Big Data Testing
DataOps DataFlow integrates with all modern and advanced sources of data, including RDBMS and NoSQL databases, Cloud and file-based.
DataOps DataFlow Alternatives
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IBM Aspera
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IRI Voracity
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* migration and replication
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Azure Migrate
All the Azure migration tools and guidance that you need to plan, implement and monitor your move to cloud computing. A central dashboard provides intelligent insights and allows you to track your progress. Support for key migration scenarios across servers and data, web apps, databases, web applications, virtual desktops, and servers. Azure and its partner tools enable comprehensive discovery, assessment, as well as migration capabilities. A centralized migration repository that provides end-to-end tracking, insights, and insight. Cost-effective migration with Azure cost optimization tools and features. The progress dashboard and guided experience guide you through the discovery, assessment, as well as migration phases for different business areas. With built-in insights, recommendations and recommendations, you can make the best migration decisions. Migration tools that allow you to move quickly and easily are included in your Azure subscription.
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Pricing
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Integrations
Company Details
Company:
Datagaps
Year Founded:
2010
Headquarters:
United States
Website:
www.datagaps.com/dataops-dataflow/
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Product Details
Platforms
Windows
Mac
Linux
Customer Support
Phone Support
DataOps DataFlow Features and Options
Data Management Software
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
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