Azure Databricks vs Snowflake

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Azure Databricks

194
320
+ 1
0
Snowflake

847
973
+ 1
19
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Pros of Azure Databricks
Pros of Snowflake
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    • 4
      Public and Private Data Sharing
    • 3
      Good Performance
    • 3
      Multicloud
    • 2
      Great Documentation
    • 2
      User Friendly
    • 2
      Serverless
    • 1
      Innovative
    • 1
      Usage based billing
    • 1
      Economical

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    What is Azure Databricks?

    Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.

    What is Snowflake?

    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

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    Jobs that mention Azure Databricks and Snowflake as a desired skillset
    CBRE
    Malaysia Wilayah Persekutuan Kuala Lumpur Kuala Lumpur
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    What companies use Azure Databricks?
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    What tools integrate with Azure Databricks?
    What tools integrate with Snowflake?

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    Blog Posts

    Jul 2 2019 at 9:34PM

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    What are some alternatives to Azure Databricks and Snowflake?
    Databricks
    Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
    Azure Machine Learning
    Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
    Azure HDInsight
    It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Azure Data Factory
    It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
    See all alternatives