Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.
Description
Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Snowflake
Yes
AdRoll
No
Airtable
No
Amazon
No
Azure Blob Storage
No
Azure CycleCloud
No
Chartio
Yes
Google Ads
No
HubSpot Customer Platform
No
Jira Align
No
Integrations
Snowflake
Yes
AdRoll
Yes
Airtable
Yes
Amazon
Yes
Azure Blob Storage
Yes
Azure CycleCloud
Yes
Chartio
No
Google Ads
Yes
HubSpot Customer Platform
Yes
Jira Align
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Pricing upon request
Free Trial
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
DataOps.live
Founded
2020
Country
London, UK
Website
www.dataops.live/
Vendor Details
Company Name
Datos-Intelligence GmbH
Founded
2020
Country
Germany
Website
www.y42.com
Product Features
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
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
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
Yes
Regression Analysis
Yes
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
Yes
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
Yes
Storage Management
No
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
Yes
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
Data Warehouse
Ad hoc Query
No
Analytics
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
Yes