Related Products
|
||||||
About
Save hours developing and maintaining ETL/ELT data pipelines in an easy-to-use environment made for effortless debugging. Visualize changes pre-deployment to ease dev processes, expedite testing, and simplify debugging. Foster team collaboration and save time on the most painful development stages by working with Python and our easy-to-use interface. Consolidate any amount of data, in any format and from endless sources with zero data storing processing hesitations. Guarantee the most accurate data with error flagging and real-time debugging within specific data processes and across pipelines in their entirety. Utilize compute, storage, and network bandwidth to efficiently auto-scale your infrastructure as data volume and velocity increase. Identify and pinpoint issues with real-time data observability tools, zoom in, and troubleshoot data pipelines thoroughly and accurately.
|
About
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry.
We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer.
Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative.
The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Companies looking for a Data Orchestration Environment platform to shorten their data-to-value journey
|
Audience
Data engineers, data architects, data scientists, data testers, CIOs and business leaders
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
Free
Credit based pricing system
Free Version
Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationDatorios
Founded: 2020
United States
datorios.com
|
Company InformationK2View
Founded: 2009
United States
k2view.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Data Management Features
Customer Data
Not Supported
Data Analysis
Not Supported
Data Capture
Not Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Not Supported
Data Security
Not Supported
Information Governance
Supported
Master Data Management
Not Supported
Match & Merge
Not Supported
Integration Features
Dashboard
Supported
ETL - Extract / Transform / Load
Supported
Metadata Management
Not Supported
Multiple Data Sources
Supported
Web Services
Not Supported
Master Data Management Features
Data Governance
Supported
Data Masking
Not Supported
Data Source Integrations
Supported
Hierarchy Management
Not Supported
Match & Merge
Not Supported
Metadata Management
Supported
Multi-Domain
Not Supported
Process Management
Supported
Relationship Mapping
Supported
Visualization
Not Supported
ETL Features
Data Analysis
Not Supported
Data Filtering
Supported
Data Quality Control
Not Supported
Job Scheduling
Supported
Match & Merge
Supported
Metadata Management
Not Supported
Non-Relational Transformations
Supported
Version Control
Supported
|
Data Management Features
Customer Data
Not Supported
Data Analysis
Not Supported
Data Capture
Not Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Not Supported
Data Security
Not Supported
Information Governance
Not Supported
Master Data Management
Supported
Match & Merge
Not Supported
Integration Features
Dashboard
Not Supported
ETL - Extract / Transform / Load
Supported
Metadata Management
Not Supported
Multiple Data Sources
Not Supported
Web Services
Not Supported
Data Fabric Features
Data Access Management
Not Supported
Data Analytics
Not Supported
Data Collaboration
Not Supported
Data Lineage Tools
Supported
Data Networking / Connecting
Supported
Metadata Functionality
Supported
No Data Redundancy
Not Supported
Persistent Data Management
Not Supported
|
|||||
Integrations
Azure Marketplace
Not Supported
Model Context Protocol (MCP)
Not Supported
Salesforce
Not Supported
|
Integrations
Azure Marketplace
Supported
Model Context Protocol (MCP)
Supported
Salesforce
Supported
|
|||||
|
|
|