K2View vs. MitemView Comparison


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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 For over 35 years, MITEM has invested in the technology research and development essential for perfecting an integration framework designed for composite application development. This framework is MitemView. MitemView integrates with legacy applications, middleware technology, application servers, web services, and myriad vendor-specific interfaces. MitemView is composed of a developer toolkit and a runtime engine that anybody can use to integrate new applications with legacy systems. MITEM also offers business applications that leverage MitemView’s integration versatility, power, and stability. These applications are a natural extension of our core technology and encompass over 35 years of experience in building end-user applications. A composite application re-uses the functionality of legacy systems to create new applications. Combining the functionality from one or more legacy systems with the functionality of the new application.
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 Research and development professionals seeking a solution to improve their operations
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 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 MITEM Founded: 1984 United States mitem.com/mitemview/
Alternatives DATPROF	Alternatives OpenLegacy
Accelario	Scheer PAS Scheer PAS Deutschland GmbH
IRI DarkShield IRI, The CoSort Company	LOF Enterprise Yrrid Software
Delphix Perforce	Tmax TmaxSoft
dbt dbt Labs View All	Rocket Verastream Rocket Software 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 Integration
Integration Features Dashboard ETL - Extract / Transform / Load Metadata Management Multiple Data Sources Web Services 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 Azure Marketplace Model Context Protocol (MCP) Salesforce View All 3 Integrations	Integrations Azure Marketplace Model Context Protocol (MCP) Salesforce
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