Alooma vs Snowflake: What are the differences?
Alooma: Integrate any data source like databases, applications, and any API - with your own Amazon Redshift. Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now; 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.
Alooma and Snowflake belong to "Big Data as a Service" category of the tech stack.
What is Alooma?
What is Snowflake?
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Why do developers choose Alooma?
Why do developers choose Snowflake?
What are the cons of using Alooma?
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!