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Description
Utilize Piperr’s pre-constructed data algorithms to generate exceptional data for various enterprise stakeholders, spanning from IT and Analytics to Technology, Data Science, and Lines of Business. Rest assured, if your data platform isn't already supported, we’ll create connectors at no extra charge. Piperr™ includes a standard dashboard featuring a refined charting system, and we also offer compatibility with Tableau, PowerBI, and other data visualization tools. You have the option to leverage our machine learning-enhanced data algorithms or opt to integrate your own trained ML models. Say goodbye to lengthy DataOps turnaround times; while your team concentrates on AI models, you can trust Piperr to manage the data lifecycle. Reduce the time taken for data operations, from acquisition to test data management, using Piperr’s ready-to-use data applications. With Piperr™, you gain access to the essential tools needed to bring order to data chaos within your organization. Choose Piperr™ for all your data processing requirements and watch your efficiency soar.
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
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1000
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Saturam
Founded
2014
Country
United States
Website
www.piperr.io
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
Yes
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