K2View vs. Stratio 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 A unified secure business data layer providing instant answers for business and data teams. Stratio generative AI data fabric covers the whole lifecycle of data management from data discovery, and governance, to use and disposal. Your organization has data all over the place, different divisions use different apps to do different things. Stratio uses AI to find all your data, whether it's on-prem or in the cloud. That means you can be sure that you're treating data appropriately. If you can't see your data as soon as its generated, you´ll never move as fast as your customers. With most data infrastructure, it can take hours to process customer data. Stratio accesses 100% of your data in real-time without moving it, so you can act quickly without losing the all-important context. Only by unifying the operational and informational in a collaborative platform companies will be able to move to instant extended AI.
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 Data teams requiring a solution to streamline their data discovery and governance 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 Stratio Founded: 2014 Spain www.stratio.com/home
Alternatives DATPROF	Alternatives IBM Cloud Pak for Data IBM
Accelario	Dataddo
IRI DarkShield IRI, The CoSort Company	Gathr.ai
Delphix Perforce	Fraxses Intenda
dbt dbt Labs View All	Irion EDM Irion 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 Artificial Intelligence Data Fabric Data Integration Generative AI
Data Fabric Features Data Access Management Data Analytics Data Collaboration Data Lineage Tools Data Networking / Connecting Metadata Functionality No Data Redundancy Persistent Data Management Show More Features 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 Amazon Web Services (AWS) Apache Kafka Apache ZooKeeper ArangoDB Azure Marketplace Calico Cloud Deloitte Cascade Suite Google Cloud Platform Kubernetes Microsoft Azure Model Context Protocol (MCP) NTT Cloud Communications Ovvoe PostgreSQL Salesforce Show More Integrations View All 3 Integrations	Integrations Amazon Web Services (AWS) Apache Kafka Apache ZooKeeper ArangoDB Azure Marketplace Calico Cloud Deloitte Cascade Suite Google Cloud Platform Kubernetes Microsoft Azure Model Context Protocol (MCP) NTT Cloud Communications Ovvoe PostgreSQL Salesforce Show More Integrations View All 12 Integrations
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