Software Alternatives & Reviews

The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.

Databricks Azure Data Lake Azure Synapse Analytics SQL Azure Amazon Redshift
  1. Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
    Pricing:
    • Open Source

    #Data Science #Data Dashboard #Database Tools 17 social mentions

  2. Azure Data Lake is a fully managed data lake service that is built for analytics, machine learning, and data science workloads.

    #Business & Commerce #Office & Productivity #Online Services

  3. Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift.

    #Office & Productivity #Development #Data Science And Machine Learning 3 social mentions

  4. Microsoft Azure Cloud SQL Database is the developer’s cloud database service. The Azure database as a service is your solution to building and monitoring applications quickly and efficiently.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift.

    #Databases #Relational Databases #Tool 9 social mentions

  5. Learn about Amazon Redshift cloud data warehouse.
    The video below gives an in-depth understanding of the lakehouse approach using Amazon Redshift. It uses AWS S3 to store data since Redshift is strictly a relational database.

    #Big Data #Databases #Relational Databases 26 social mentions

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