Software Alternatives & Reviews

Zeenea Data Catalog VS Azure Data Lake

Compare Zeenea Data Catalog VS Azure Data Lake and see what are their differences

Zeenea Data Catalog logo Zeenea Data Catalog

The data catalog for data-driven companies

Azure Data Lake logo Azure Data Lake

Azure Data Lake is a fully managed data lake service that is built for analytics, machine learning, and data science workloads.
  • Zeenea Data Catalog Landing page
    Landing page //
    2023-04-26
  • Azure Data Lake Landing page
    Landing page //
    2023-02-17

Zeenea Data Catalog videos

[REPLAY] Start connecting your Google Cloud Architecture to Zeenea Data Catalog !

Azure Data Lake videos

What is Azure Data Lake | Azure Data Lake Tutorial | Best Storage Solution For Big Data | K21Academy

More videos:

  • Review - What is Azure Data Lake Analytics? Data Lake Explained & Examples
  • Tutorial - Azure Data Lake Storage (Gen 2) Tutorial | Best storage solution for big data analytics in Azure

Category Popularity

0-100% (relative to Zeenea Data Catalog and Azure Data Lake)
Encrypted Cloud Storage
100 100%
0% 0
Online Services
0 0%
100% 100
Cloud Storage
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Zeenea Data Catalog and Azure Data Lake, you can also consider the following products

Atlan - Atlan is an advanced data workspace developed to offer benefits to many different sources of data.

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.

Ermetic - Secure Your Cloud. Identity First. Holistic protection for AWS, Azure and Google Cloud.

Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

Mega - Secure File Storage and collaboration

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).