K2View vs. Zingg Comparison


K2View	Zingg Zingg Labs, Inc	+	+
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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.	About Zingg is an open source Master Data Management platform built for the modern data warehouse. It uses machine learning for entity resolution at scale — eliminating the need for expensive, rigid MDM tools. Native to Databricks, Microsoft Fabric, Snowflake, AWS, and GCP, Zingg helps data teams build a single, trusted view of customers, suppliers, and products — right where their data already lives. Golden records are maintained through a persistent Zingg ID across all your systems and sources.
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 Data engineers, data architects, data scientists, data testers, CIOs and business leaders	Audience Enterprises
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 No images available
Pricing No information available. Free Version Free Trial	Pricing Contact For Pricing Free Version Free Trial
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	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
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 Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information K2View Founded: 2009 United States k2view.com	Company Information Zingg Labs, Inc Founded: 2021 United States www.zingg.ai/
Alternatives DATPROF	Alternatives Goldright Enterprise Suite Goldright
Accelario	Kalido Master Data Management Magnitude Software
IRI DarkShield IRI, The CoSort Company	Profisee Profisee Group
Delphix Perforce	Ataccama ONE Ataccama
dbt dbt Labs View All	Senzing View All
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	Categories Master 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	Master Data Management Features Data Governance Data Masking Data Source Integrations Hierarchy Management Match & Merge Metadata Management Multi-Domain Process Management Relationship Mapping Visualization
Integrations Amazon Web Services (AWS) Azure Marketplace Databricks Google Cloud Platform Microsoft Fabric Model Context Protocol (MCP) Salesforce Snowflake View All 3 Integrations	Integrations Amazon Web Services (AWS) Azure Marketplace Databricks Google Cloud Platform Microsoft Fabric Model Context Protocol (MCP) Salesforce Snowflake View All 5 Integrations
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