Here’s the difference between Redshift and Hevo Data. 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.
Hevo is a cloud based automated data pipeline preparation solution. It connects to the source and uses the transformation code to transfer data to the warehouse. Features include automatic detection and handling of the schema change, real-time alerts & notifications on the data pipeline, zero data loss, joining tables, and writing queries, integration with technology stacks, etc.