Inferyx vs. K2View Comparison


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About Move past application silos, cost overrun, and skill obsolescence to scale faster with our intelligent data and analytics platform. An intelligent platform built to perform data management and advanced analytics. Helps you scale across the technology landscape. Our architecture understands how data flows and transforms throughout its lifecycle. Enabling the development of future-proof enterprise AI applications. A highly modular and extensible platform that enables the handling of multifold components. Designed to scale with a multi-tenant architecture. Analyzing complex data structures is made easy using advanced data visualization. Resulting in enhanced enterprise AI app development in an intuitive and low-code predictive platform. Our unique hybrid multi-cloud platform is built using open source community software which makes it immensely adaptive, highly secure, and essentially low-cost.	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 Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Organizations looking for a tool to manage, integrate, and analyze their data	Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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 Free Free Version Free Trial	Pricing No information available. Free Version Free Trial
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 Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Inferyx Founded: 2017 United States www.inferyx.com	Company Information K2View Founded: 2009 United States k2view.com
Alternatives Cloudera	Alternatives DATPROF
Alation	Accelario
Informatica Intelligent Data Management Cloud Informatica	IRI DarkShield IRI, The CoSort Company
Clarifai	Delphix Perforce
Progress Semaphore Progress Software View All	dbt dbt Labs View All
Categories Data Management Machine Learning Metadata Management	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
	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 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 Integration Features Dashboard ETL - Extract / Transform / Load Metadata Management Multiple Data Sources Web Services
Integrations Amazon Web Services (AWS) Apache Hive Apache Impala Apache Kafka Apache Spark Azure Marketplace Google Cloud Platform Hadoop JSON Microsoft Azure Model Context Protocol (MCP) MySQL Oracle Cloud Infrastructure PostgreSQL Salesforce Show More Integrations View All 12 Integrations	Integrations Amazon Web Services (AWS) Apache Hive Apache Impala Apache Kafka Apache Spark Azure Marketplace Google Cloud Platform Hadoop JSON Microsoft Azure Model Context Protocol (MCP) MySQL Oracle Cloud Infrastructure PostgreSQL Salesforce Show More Integrations View All 3 Integrations
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