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Description

Gain valuable insights by harnessing a vast array of data generated by humans. This includes information sourced from social media platforms, blogs, news articles, and various other mediums. By consolidating social, blog, and news data into a central repository, you can access both real-time and historical information derived from billions of data points. The platform processes and enhances this data instantaneously, ensuring precise analysis. With DataSift, you can seamlessly integrate Human Data into your business intelligence (BI) systems and operational workflows in real-time. Moreover, our robust API empowers you to create custom applications tailored to your needs. Human Data represents the most rapidly expanding category of information, encompassing the full range of content generated by individuals, no matter the format or delivery channel. This includes text, images, audio, and video shared across social networks, blogs, news outlets, and within organizational environments. The DataSift Human Data platform integrates all these diverse data sources—both real-time and historical—into a single location, revealing their significance and enabling their application throughout your business landscape. By leveraging this data, organizations can drive innovation and informed decision-making effectively.

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 DynamoDB Yes 
Amazon S3 Yes 
Apache CouchDB Yes 
Bitly Yes 
Cloudera No 
Desktop.com Yes 
Disqus Yes 
Elasticsearch Yes 
Facebook Yes 
Jenkins No 
LexisNexis InterAction Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
Reddit Yes 
Redis Yes 
Splunk Cloud Platform Yes 
TOPIX Yes 
Welcome Software Yes 
WordPress Yes 

Integrations

Amazon DynamoDB No 
Amazon S3 No 
Apache CouchDB No 
Bitly No 
Cloudera Yes 
Desktop.com No 
Disqus No 
Elasticsearch No 
Facebook No 
Jenkins Yes 
LexisNexis InterAction No 
MongoDB No 
MySQL No 
PostgreSQL No 
Reddit No 
Redis No 
Splunk Cloud Platform No 
TOPIX No 
Welcome Software No 
WordPress 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) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

DataSift

Founded

2010

Country

United Kingdom

Website

datasift.com

Vendor Details

Company Name

iceDQ

Founded

2005

Country

United States

Website

icedq.com

Product Features

Big Data

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