DTM Data Generator vs. K2View Comparison


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About Fast test data generation engine with about 70 built-in functions and expression processor enables users to define complex test data with dependencies, internal structure, and relationships. The product analyzes existing database schema and resolves master-detail key structure (relationships) automatically. Value Library is a predefined data sets: names, countries, cities, streets, currencies, companies, industries, departments, regions, etc. Variables and Named Generators features provide a way to share data generation properties to similar columns. Intelligent schema analyzer makes your data realistic without extra project modifications and "data by example" feature makes data more realistic without extra efforts.	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 Supported Mac Not Supported Linux Not Supported Cloud Not 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 IT teams searching for a software that produces data rows and schema objects for testing purposes	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 View more images or videos	Screenshots and Videos View more images or 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: 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 Not 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 DTM Data Generator sqledit.com/dg/	Company Information K2View Founded: 2009 United States k2view.com
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Categories Test Data Management 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 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 Integration Features Dashboard Not Supported ETL - Extract / Transform / Load Supported Metadata Management Not Supported Multiple Data Sources Not Supported Web Services Not Supported
Integrations Azure Marketplace Not Supported Firebird Supported IBM Db2 Supported IBM Informix Supported InterBase Supported Model Context Protocol (MCP) Not Supported MySQL Supported PostgreSQL Supported SQL Server Supported Salesforce Not Supported View All 7 Integrations	Integrations Azure Marketplace Supported Firebird Not Supported IBM Db2 Not Supported IBM Informix Not Supported InterBase Not Supported Model Context Protocol (MCP) Supported MySQL Not Supported PostgreSQL Not Supported SQL Server Not Supported Salesforce Supported View All 3 Integrations
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