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Rublon VS Zaloni Data Platform

Compare Rublon VS Zaloni Data Platform and see what are their differences

Rublon logo Rublon

Rublon enables your workforce to securely access your organization's networks, servers and applications via easy-to-use multi-factor authentication. Protect cloud apps, VPNs, servers, workstations, internal as well as on-premise apps.

Zaloni Data Platform logo Zaloni Data Platform

Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.
  • Rublon Landing page
    Landing page //
    2023-05-01
  • Zaloni Data Platform Landing page
    Landing page //
    2023-04-15

Rublon videos

Rublon MFA/2FA for RDP (Microsoft Remote Desktop)

More videos:

  • Review - Rublon WordPress Plugin Review
  • Review - Rublon - A Quick Look

Zaloni Data Platform videos

[DEMO] Zaloni Data Platform

Category Popularity

0-100% (relative to Rublon and Zaloni Data Platform)
Identity And Access Management
Business & Commerce
0 0%
100% 100
Two Factor Authentication
Online Services
0 0%
100% 100

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What are some alternatives?

When comparing Rublon and Zaloni Data Platform, you can also consider the following products

DIGIPASS - DIGIPASS offers two-factor​ authentication solutions for mobile applications.

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.

LoginTC - Simply Strong Two-Factor Authentication LoginTC is best in class. Effortless Administration. Intuitive User Experience. Cost-effective solution for all organizations.

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.

Upsolver - Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).