Amazon Redshift is a cloud data warehouse from Amazon Web Services, run as provisioned clusters or Serverless with usage-based pricing, for teams on AWS.
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Compare data warehouses on user reviews: query speed, concurrency, storage and compute separation, cost controls and surprise bills.
10 products
Amazon Redshift is a cloud data warehouse from Amazon Web Services, run as provisioned clusters or Serverless with usage-based pricing, for teams on AWS.
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Azure Synapse Analytics is Microsoft's cloud data warehouse and analytics service, joining T-SQL pools, Spark and pipelines on Azure with pay-as-you-go billing.
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BigQuery is Google Cloud's serverless data warehouse for SQL analytics, machine learning and streaming data, billed by data scanned or by slot capacity.
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ClickHouse is an open-source column-oriented database for real-time analytics and data warehousing, run self-hosted or as usage-billed ClickHouse Cloud.
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Databricks is a data lakehouse platform for SQL warehousing, data engineering, machine learning and AI agents on open table formats, sold pay as you go.
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Exasol is an in-memory analytics database and data warehouse for many concurrent users and AI agents, deployable as SaaS, on premises or in hybrid setups.
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Firebolt is an open-source analytical database and data warehouse for engineers, run yourself or as a usage-billed managed service on AWS.
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MotherDuck is a serverless data warehouse built on DuckDB that gives every user, customer and AI agent its own compute instance, billed by usage.
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Snowflake is a cloud data warehouse and lakehouse for analytics, data engineering and AI teams, with usage-based pricing in compute credits plus storage.
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Teradata is an enterprise data warehouse and AI platform that runs in Teradata Cloud, a customer's own cloud or on premises, sold on consumption pricing.
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