Amazon DataZone vs. K2View Comparison


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About Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning.	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 Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Companies searching for a solution to enhance their organization's data management capabilities	Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
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: Review this Software	Reviews/Ratings Overall 3.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 5.0 / 5 support 4.0 / 5 Read all reviews
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Amazon Founded: 1998 United States aws.amazon.com/datazone/	Company Information K2View Founded: 2009 United States k2view.com
Alternatives DataHub	Alternatives DATPROF
OvalEdge	Accelario
Catalog Coalesce	IRI DarkShield IRI, The CoSort Company
DvSum	Delphix Perforce
Zeenea Data Catalog Zeenea View All	dbt dbt Labs View All
Categories Data Catalog Data Discovery Data Governance	Categories Application Modernization Cloud Migration Customer Data Platforms (CDP) Data Catalog Data Engineering Data Fabric Data Governance Data Integration Data Management Data Masking Data Pipeline Data Preparation Data Privacy Management Data Subject Access Request (DSAR) Data Virtualization DataOps GDPR Compliance Integration iPaaS Master Data Management Metadata Management Sensitive Data Discovery Synthetic Data Generation Test Data Management
	Show More Features Data Fabric Features Data Access Management Data Analytics Data Collaboration Data Lineage Tools Data Networking / Connecting Metadata Functionality No Data Redundancy Persistent Data Management Data Management Features Customer Data Data Analysis Data Capture Data Integration Data Migration Data Quality Control Data Security Information Governance Master Data Management Match & Merge Integration Features Dashboard ETL - Extract / Transform / Load Metadata Management Multiple Data Sources Web Services
Integrations AWS Glue AWS Lake Formation Amazon Athena Amazon Redshift Amazon SageMaker Unified Studio Amazon Web Services (AWS) Azure Marketplace Model Context Protocol (MCP) Salesforce View All 6 Integrations	Integrations AWS Glue AWS Lake Formation Amazon Athena Amazon Redshift Amazon SageMaker Unified Studio Amazon Web Services (AWS) Azure Marketplace Model Context Protocol (MCP) Salesforce View All 3 Integrations
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