Software Alternatives & Reviews

K2View Fabric VS MarkLogic Data Hub Platform

Compare K2View Fabric VS MarkLogic Data Hub Platform and see what are their differences

K2View Fabric logo K2View Fabric

K2View Fabric provides a data-centric approach to data management that delivers access to key data in real-time through patented mico-databases.

MarkLogic Data Hub Platform logo MarkLogic Data Hub Platform

Data Hub Central is the collaborative, self-service user experience for building your cloud data hub on MarkLogic Data Hub Service.
  • K2View Fabric Landing page
    Landing page //
    2023-08-20
  • MarkLogic Data Hub Platform Landing page
    Landing page //
    2023-08-20

K2View Fabric videos

Intro to K2View Fabric

More videos:

  • Review - K2View Fabric Technical Overview: Data without delay, so you can be an IT superhero

MarkLogic Data Hub Platform videos

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Category Popularity

0-100% (relative to K2View Fabric and MarkLogic Data Hub Platform)
AI Platform
57 57%
43% 43
Data Dashboard
57 57%
43% 43
Data Integration
57 57%
43% 43
Data Management Platform (DMP)

User comments

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What are some alternatives?

When comparing K2View Fabric and MarkLogic Data Hub Platform, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

Teradata QueryGrid - Data Fabric

data.world - The social network for data people

Informatica Intelligent Data Platform - Unleash data's potential with Informatica infrastructure services that all roll up under a robust and intelligent data integration platform.

Cinchy - Developed for real-time data collaboration, Cinchy Dataware Platform addresses the root cause of data fragmentation and data silos, eliminates the cost and need for time-consuming data integration, and mitigates risks of data duplication.