Guided scenario
Data warehouse for a startup
Analytics shouldn't require a big upfront warehouse commitment at the startup stage. This shortlist orders data warehouses by a free tier noted at last review and a low entry price, surfacing affordable analytical storage you can grow into. Weigh serverless billing, storage and compute separation, and open-source or multi-cloud options for portability.
Amazon Redshift
aws.amazon.com/redshift
Amazon Redshift is AWS's managed data warehouse for running analytics across large datasets, tightly integrated with the AWS ecosystem.
Azure Synapse Analytics
azure.microsoft.com/en-us/products/synapse-analytics
Azure Synapse Analytics is Microsoft's analytics service combining data warehousing and big-data processing, targeting teams running analytics on Azure.
ClickHouse Cloud
clickhouse.com/cloud
ClickHouse Cloud is the managed service for ClickHouse, a column-oriented database engine built for fast, real-time analytical (OLAP) queries.
Databricks
www.databricks.com
Databricks is a data and AI platform built on the lakehouse architecture, unifying data engineering, analytics, and machine learning in one environment.
Firebolt
www.firebolt.io
Firebolt is a cloud data warehouse focused on low-latency, high-concurrency analytics, aimed at teams powering analytics-heavy applications and data products.
Google BigQuery
cloud.google.com/bigquery
Google BigQuery is Google Cloud's fully serverless data warehouse for fast SQL analytics over very large datasets, with storage and compute separated.
MotherDuck
motherduck.com
MotherDuck is a serverless cloud data warehouse built on DuckDB, pairing cloud storage and compute with DuckDB's fast local execution in a hybrid query model.
