K2View vs. QueryPie Comparison


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It is designed to support agentic AI by giving AI agents accurate, up-to-date, and governed enterprise data for better decisions and actions. The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance. 387 Ratings Visit Website Teradata VantageCloud Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. 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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 QueryPie is a centralized platform to manage scattered data sources and security policies all in one place. Put your company on the fast track to success without changing the existing data environment. Data governance is vital to today's data-driven world. Ensure you're on the right side of data governance standards while giving many users access to growing amounts of critical information. Establish data access policies by including key attributes such as IP address and access time. Privilege types can be created based on SQL commands classified as DML, DCL, and DDL to secure data analysis and editing. Manage details of SQL events at a glance and discover user behavior and potential security concerns by browsing logs based on permissions. All histories can be exported as a file and used for reporting purposes.
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 Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders	Audience Businesses searching for a powerful Data Governance solution
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not 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 Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
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 Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information K2View Founded: 2009 United States k2view.com	Company Information QueryPie Founded: 2019 South Korea www.querypie.com
Alternatives DATPROF	Alternatives OneTrust Data Use Governance OneTrust
Accelario	Satori
IRI DarkShield IRI, The CoSort Company	Kriptos
Delphix Perforce	DryvIQ
dbt dbt Labs View All	Classify360 Congruity360 View All
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	Categories Data Governance Supported Sensitive Data Discovery 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 Amazon DynamoDB Not Supported Amazon EKS Not Supported Amazon Redshift Not Supported Amazon Web Services (AWS) Not Supported Apache Cassandra Not Supported Auth0 Not Supported DataGrip Not Supported DigitalOcean Not Supported Docker Not Supported Google Cloud BigQuery Not Supported Google Cloud Platform Not Supported Google Kubernetes Engine (GKE) Not Supported Impala Not Supported Looker Not Supported Microsoft Azure Not Supported Microsoft Teams Not Supported Model Context Protocol (MCP) Supported MongoDB Not Supported SQL Server Not Supported Snowflake Not Supported Show More Integrations View All 3 Integrations	Integrations Amazon DynamoDB Supported Amazon EKS Supported Amazon Redshift Supported Amazon Web Services (AWS) Supported Apache Cassandra Supported Auth0 Supported DataGrip Supported DigitalOcean Supported Docker Supported Google Cloud BigQuery Supported Google Cloud Platform Supported Google Kubernetes Engine (GKE) Supported Impala Supported Looker Supported Microsoft Azure Supported Microsoft Teams Supported Model Context Protocol (MCP) Not Supported MongoDB Supported SQL Server Supported Snowflake Supported Show More Integrations View All 40 Integrations
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