Software Alternatives & Reviews

MarkLogic Data Hub Platform VS Zetaris Platform

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

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.

Zetaris Platform logo Zetaris Platform

Data Fabric
  • MarkLogic Data Hub Platform Landing page
    Landing page //
    2023-08-20
  • Zetaris Platform Landing page
    Landing page //
    2023-08-20

MarkLogic Data Hub Platform

Categories
  • Data Integration
  • AI Platform
  • Data Dashboard
  • Data Management Platform (DMP)
Website marklogic.com
Pricing URL-

Zetaris Platform

Categories
  • Data Integration
  • Data Dashboard
  • AI Platform
  • Data Management Platform (DMP)
Website zetaris.com
Pricing URL Official Zetaris Platform Pricing

Category Popularity

0-100% (relative to MarkLogic Data Hub Platform and Zetaris Platform)
Data Dashboard
37 37%
63% 63
Data Integration
37 37%
63% 63
AI Platform
40 40%
60% 60
Data Management Platform (DMP)

User comments

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What are some alternatives?

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

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.

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.

data.world - The social network for data people

Teradata QueryGrid - Data Fabric

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.