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Average Ratings 1 Rating
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
Integrations
Cloudera
No
Jenkins
No
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