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Description

Ispirer Toolkit automates cross-platform database and app migrations. It allows you to easily migrate to the most recent technologies from Microsoft, IBM, Oracle and HPE. It can automate up to 100% of the conversion. The Toolkit supports all major database versions: Oracle, SQL Server and DB2, PostgreSQL. It also supports Amazon Redshift, Informix and Progress. Free 30-day trial available. Ispirer Toolkit core aspects: - Maximum level of automation through customization. - We are adding new conversion rules in just 2-3 business days. - Plenty of useful settings that allow to improve the conversion result quality. - --- Cross-platform database migration, including to the clouds. - High quality conversion without mistypes and errors. - Easily maintainable result, since it is structurally similar to the source code. - The same level of functionality in both the GUI and the Command Line Mode.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cloudera No 
Jenkins No 

Integrations

Cloudera Yes 
Jenkins Yes 

Pricing Details

$595 per month
Our pricing is license-based, license prices depend on the project size and its duration. Thus, the project price is determined only after a thorough analysis of a source database.
Free Trial Yes 
Free Version No 

Pricing Details

$1000
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Ispirer Systems

Founded

1999

Country

United States

Website

www.ispirer.com

Vendor Details

Company Name

iceDQ

Founded

2005

Country

United States

Website

icedq.com

Product Features

Application Development

Access Controls/Permissions No 
Code Assistance Yes 
Code Refactoring Yes 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging Yes 
Deployment Management Yes 
Graphical User Interface Yes 
Mobile Development No 
No-Code No 
Reporting/Analytics No 
Software Development No 
Source Control No 
Testing Management No 
Version Control No 
Web App Development No 

Database

Backup and Recovery No 
Creation / Development No 
Data Migration Yes 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion Yes 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Product Features

Automated Testing

Hierarchical View No 
Move & Copy Yes 
Parameterized Testing Yes 
Requirements-Based Testing Yes 
Security Testing No 
Supports Parallel Execution Yes 
Test Script Reviews No 
Unicode Compliance No 

Big Data

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

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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