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Description
Companies are increasingly transitioning their communication and collaboration platforms to cloud-based systems. To safeguard against potential vendor lock-in and interruptions, it is essential for them to have an independent backup or archival solution on a different cloud. Manual data operations are often vulnerable to risks such as data loss or theft. Therefore, it is crucial for emerging tools to accommodate a variety of data types and incorporate robust in-built checks for data integrity, facilitating swift and error-free migration of substantial data volumes. Legacy software typically necessitates dedicated physical hardware and lacks the capability to manage the data produced by modern SaaS applications. Additionally, these traditional tools demand significant human effort for data transformation. As more businesses adopt cloud communication services, the volume of generated data continues to increase. To effectively manage this data, organizations require automated systems that can scale efficiently. Consequently, there is a pressing need for hands-free automation solutions, ensuring that the data being processed remains secure and accessible. Furthermore, enhancing data security and operational efficiency will become increasingly vital as the reliance on cloud infrastructures grows.
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
Integrations
Amazon S3
Cloudera
Google Workspace
Jenkins
Microsoft 365
Microsoft Exchange
Vaultastic
Zimbra
Integrations
Amazon S3
Cloudera
Google Workspace
Jenkins
Microsoft 365
Microsoft Exchange
Vaultastic
Zimbra
Pricing Details
$0.945 per GB
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
LegacyFlo
Country
India
Website
legacyflo.mithi.com
Vendor Details
Company Name
iceDQ
Founded
2005
Country
United States
Website
icedq.com
Product Features
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