Snowflake vs Databricks: which is better?
Discover the best alternativeWhat is Databricks?
Data Lakehouse pioneer Databricks is a cloud-based platform founded in 2013 that today offers a unified platform for data and AI. Its origins can be traced back to the University of California, Berkeley, where its creators developed tools such as Apache Spark, Delta Lake and MLFlow. Databricks is a unified analytics platform that combines the power of Apache Spark, Delta Lake and MLFlow with a native Cloud infrastructure - a one-stop shop - to simplify the end-to-end analytics process. Databricks provides a single platform for data engineering, data science and machine learning tasks - combining the key capabilities needed for data analysis.
What is Snowflake?
Snowflake is a cloud-based datawarehouse that uses a unique architecture to offer businesses and organizations high scalability and flexibility when managing and analyzing their data. Snowflake's main advantage is its ability to share data securely, making it a preferred choice for cloud analytics and business intelligence tools.
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