Cloudera Enterprise vs Snowflake: What are the differences?
Cloudera Enterprise: Enterprise Platform for Big Data. Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts; Snowflake: The data warehouse built for the cloud. 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.
Cloudera Enterprise and Snowflake belong to "Big Data as a Service" category of the tech stack.
According to the StackShare community, Snowflake has a broader approval, being mentioned in 29 company stacks & 11 developers stacks; compared to Cloudera Enterprise, which is listed in 4 company stacks and 7 developer stacks.
What is Cloudera Enterprise?
What is Snowflake?
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Why do developers choose Cloudera Enterprise?
Why do developers choose Snowflake?
What are the cons of using Cloudera Enterprise?
What are the cons of using Snowflake?
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I use Google BigQuery because it makes is super easy to query and store data for analytics workloads. If you're using GCP, you're likely using BigQuery. However, running data viz tools directly connected to BigQuery will run pretty slow. They recently announced BI Engine which will hopefully compete well against big players like Snowflake when it comes to concurrency.
What's nice too is that it has SQL-based ML tools, and it has great GIS support!