Average Ratings 1 Rating

Total
ease
features
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Average Ratings 1 Rating

Total
ease
features
design
support

Description

Data Migration Manager (DMM) for OutSystems automates data & BPT migration, export, import, data deletion or scramble/anonymization between all OutSystems environments (Cloud, Onprem, PaaS, Hybrid, mySQL, Oracle, SQL Server, Azure SQL, Java or .NET) and versions (8, 9, 10 or 11). Only solution with a FREE download from OS FORGE Did you... You need to upgrade servers and migrate apps, but now you must migrate the data & light BPT or BPT? To populate lookup data, you will need to migrate data from the Qual to Prod Environment. You need to move from Prod to Quali to replicate problems or get a good QA environment to test. Do you need to back up data to be able later to restore a demo environment? Do you need to import data from other systems into OutSystems? Do you need to validate performance? What is Infosistema DMM? https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dstrh2TLliNc Reduce costs, reduce risks, and increase time-to market DMM is the fastest way to solve a problem!

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Aurora Yes 
Azure SQL Database Yes 
CSV Editor Pro Yes 
Cloudera No 
DocDigitizer Yes 
Jenkins No 
Microsoft Excel Yes 
MySQL Yes 
Oracle Database Yes 
OutSystems Yes 
SQL Server Yes 
UNUapi Yes 
aplonHUB Yes 

Integrations

Amazon Aurora No 
Azure SQL Database No 
CSV Editor Pro No 
Cloudera Yes 
DocDigitizer No 
Jenkins Yes 
Microsoft Excel No 
MySQL No 
Oracle Database No 
OutSystems No 
SQL Server No 
UNUapi No 
aplonHUB No 

Pricing Details

$108.00/year
The price is based in the number of employees in the company.
Free Trial Yes 
Free Version Yes 

Pricing Details

$1000
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 Yes 
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

Infosistema

Founded

1996

Country

Portugal

Website

www.infosistema.com

Vendor Details

Company Name

iceDQ

Founded

2005

Country

United States

Website

icedq.com

Product Features

Data Management

Customer Data Yes 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security Yes 
Information Governance Yes 
Master Data Management Yes 
Match & Merge Yes 

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 

Alternatives

Alternatives

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