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About

Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest. Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives. Data Factory can help independent software vendors (ISVs) enrich their SaaS apps with integrated hybrid data as to deliver data-driven user experiences. Pre-built connectors and integration at scale enable you to focus on your users while Data Factory takes care of the rest.

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 hybrid data integration service that simplifies ETL at scale

Audience

Data engineers, data architects, data scientists, data testers, CIOs and business leaders

Support

Phone Support 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

No information available.
Free Version Not Supported
Free Trial Not 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 Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/data-factory/

Company Information

K2View
Founded: 2009
United States
k2view.com

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Delphix

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Perforce
dbt

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Categories

Data Integration Supported
Data Management Supported
Data Pipeline Supported
Data Preparation Supported
ETL Supported
Integration Supported

Categories

Integration Features

Dashboard Supported
ETL - Extract / Transform / Load Supported
Metadata Management Supported
Multiple Data Sources Supported
Web Services Not 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 Supported
Amazon S3 Supported
AnalyticsCreator Supported
Ascend Supported
Azure Data Lake Supported
Azure Service Fabric Supported
Evvox Supported
Git Supported
Google Cloud BigQuery Supported
IBM watsonx.data integration Supported
MetricSign Supported
MindBridge Supported
Model Context Protocol (MCP) Not Supported
NLSQL Supported
Pantomath Supported
RTILA Supported
Rackspace Supported
RunMyJobs by Redwood Supported
Stonebranch Supported
Zipher Supported

Integrations

Azure Marketplace Supported
Amazon S3 Not Supported
AnalyticsCreator Not Supported
Ascend Not Supported
Azure Data Lake Not Supported
Azure Service Fabric Not Supported
Evvox Not Supported
Git Not Supported
Google Cloud BigQuery Not Supported
IBM watsonx.data integration Not Supported
MetricSign Not Supported
MindBridge Not Supported
Model Context Protocol (MCP) Supported
NLSQL Not Supported
Pantomath Not Supported
RTILA Not Supported
Rackspace Not Supported
RunMyJobs by Redwood Not Supported
Stonebranch Not Supported
Zipher Not Supported
Claim Azure Data Factory and update features and information
Claim Azure Data Factory and update features and information
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Claim K2View and update features and information