Data Virtuality vs. K2View Comparison


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Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. 6 Ratings Visit Website QUODD Delivering innovative market data solutions for over two decades, QUODD powers the financial ecosystem with the largest integrated suite of market data APIs in the industry. Our institutional-strength data offerings are built for your business; spanning dozens of market segments and delivered from the cloud with the reliability and scale you demand. Access data your way. 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About Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.	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 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 Organizations in need of a Data Virtualization solution for flexible data architectures	Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders
Support Phone Support Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not 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: 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
	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 Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Data Virtuality Founded: 2012 Germany datavirtuality.com	Company Information K2View Founded: 2009 United States k2view.com
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Categories Data Extraction Supported Data Integration Supported Data Pipeline Supported Data Virtualization Supported Data Warehouse Supported ETL Supported Integration Supported	Categories Application Modernization Supported Cloud Migration Supported Customer Data Platforms (CDP) Supported Data Catalog Supported Data Engineering Supported Data Fabric Supported Data Governance Supported Data Integration Supported Data Management Supported Data Masking Supported Data Pipeline Supported Data Preparation Supported Data Privacy Management Supported Data Subject Access Request (DSAR) Supported Data Virtualization Supported DataOps Supported GDPR Compliance Supported Integration Supported iPaaS Supported Master Data Management Supported Metadata Management Supported Sensitive Data Discovery Supported Synthetic Data Generation Supported Test Data Management Supported
Show More Features Data Extraction Features Disparate Data Collection Supported Document Extraction Supported Email Address Extraction Supported Image Extraction Supported IP Address Extraction Supported Phone Number Extraction Supported Pricing Extraction Supported Web Data Extraction Supported	Integration Features Dashboard Not Supported ETL - Extract / Transform / Load Supported Metadata Management Not Supported Multiple Data Sources Not Supported Web Services Not Supported Show More Features 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 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
Integrations Salesforce Supported AT Internet Supported Apache Hive Supported Cloudera Supported Emarsys Supported Exasol Supported HubSpot Customer Platform Supported Ingenious Technologies Supported Instagram Supported LiveChat Supported Mailchimp Transactional Email (Mandrill) Supported Mapbox Supported SAP BusinessObjects Business Intelligence Supported Salesforce Agentforce Marketing Supported Shopify Supported Snowflake Supported Taboola Supported Usabilla Supported VWO Insights Supported Zendesk Chat Supported Show More Integrations View All 145 Integrations	Integrations Salesforce Supported AT Internet Not Supported Apache Hive Not Supported Cloudera Not Supported Emarsys Not Supported Exasol Not Supported HubSpot Customer Platform Not Supported Ingenious Technologies Not Supported Instagram Not Supported LiveChat Not Supported Mailchimp Transactional Email (Mandrill) Not Supported Mapbox Not Supported SAP BusinessObjects Business Intelligence Not Supported Salesforce Agentforce Marketing Not Supported Shopify Not Supported Snowflake Not Supported Taboola Not Supported Usabilla Not Supported VWO Insights Not Supported Zendesk Chat Not Supported Show More Integrations View All 3 Integrations
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