Here’s the difference between Redshift and Data Channel. 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.
DataChannel is a completely self-serve no-code SaaS platform used for Data Aggregation, Analytics, and Visualization. It can be used to quickly aggregate and move all the companies data from any source be it a cloud-based SaaS application or an On-premise database to a Data warehouse of your choice.
Overview | ||
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Categories | Data Warehouses | ETL Tools |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise | SMBs, Mid-size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | Seattle,WA, US | Gurgaon |
Companies using it | ||
Contact info |