Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon DynamoDB
Yes
Amazon S3
Yes
Apache CouchDB
Yes
Bitly
Yes
Desktop.com
Yes
Disqus
Yes
Elasticsearch
Yes
Facebook
Yes
Git
No
Google Cloud Platform
Yes
Integrations
Amazon DynamoDB
No
Amazon S3
No
Apache CouchDB
No
Bitly
No
Desktop.com
No
Disqus
No
Elasticsearch
No
Facebook
No
Git
Yes
Google Cloud Platform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
833CHF/seat/month
Essential, Professional, and Enterprise subscription plans available
Non-Commercial license: free for personal use
Non-Commercial license: free for personal use
Free Trial
Yes
Free Version
Yes
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
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
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
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DataSift
Founded
2010
Country
United Kingdom
Website
datasift.com
Vendor Details
Company Name
biGENIUS AG
Founded
2011
Country
Switzerland
Website
www.bigenius-x.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
Big Data
Collaboration
Yes
Data Blends
No
Data Cleansing
Yes
Data Mining
No
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
Yes
Predictive Analytics
No
Templates
Yes
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No