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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.

Description

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Azure Synapse Analytics
Cloudera
Datagaps DataOps Suite
Jenkins
Microsoft Power BI
Snowflake
Tableau

Integrations

Amazon Redshift
Azure Synapse Analytics
Cloudera
Datagaps DataOps Suite
Jenkins
Microsoft Power BI
Snowflake
Tableau

Pricing Details

Contact us
Free Trial
Free Version

Pricing Details

$1000
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Datagaps

Founded

2010

Country

United States

Website

www.datagaps.com/dataops-dataflow/

Vendor Details

Company Name

iceDQ

Founded

2005

Country

United States

Website

icedq.com

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Product Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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