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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/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 3.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • 1.Great integration fast 1-2 months instead of a year . 2.good performance due to clustering(cassandra) 3.In memory data management 4. Standard SQL to query data 5.Good scalability 6.New and efficient ETL solution

Cons

  • 1.solution cost at least 1M $! 2.k2view uses it's own deployment team.

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Datorios
Founded: 2020
United States
datorios.com

Company Information

K2View
Founded: 2009
United States
k2view.com

Alternatives

Alternatives

IRI DarkShield

IRI DarkShield

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Hevo

Hevo

Hevo Data
Delphix

Delphix

Perforce
dbt

dbt

dbt Labs

Categories

Data Extraction Supported
Data Management Supported
ETL Supported
Integration Supported

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
Claim Datorios and update features and information
Claim Datorios and update features and information
Claim K2View and update features and information
Claim K2View and update features and information