Here’s the difference between Redshift and Keboola. The comparison is based on pricing, deployment, business model, and other important factors.
Amazon Redshift is a fully managed petabyte scale data warehouse service. Redshift is designed for analytic workloads and connects to standard SQL based clients and business intelligence tools. Redshift delivers fast query and I/O performance for virtually any size dataset by using columnar storage technology and parallelizing and distributing queries across multiple nodes. Most common administrative tasks associated with provisioning, configuring, monitoring, backing up, and securing a data warehouse are automated.
Keboola Connection provides a cloud based staging layer to mash up data from various sources including social networks, web services, internal databases, etc.. Users can display it in Tableau or GoodData. The platform is fully extensible by third parties in all layers. Platform capabilities includes a cloud ETL layer that uses SQLDEP for easy orientation in large SQL queries. Access your own sandboxes for quick adjustments and apps to reduce repetitive tasks. Users can use SQL or R as the blending language.
Overview | ||
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Categories | Data Warehouses | Data Workspace/ Collaboration, Managed Data Stack |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Freemium, Contact Sales |
Location | Seattle,WA, US | US |
Companies using it | ||
Contact info |