Compare - Redshift VS Databand

Here’s the difference between Redshift and Databand. The comparison is based on pricing, deployment, business model, and other important factors.

About Redshift

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.

About Databand

Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.

Comparision Table

Overview
CategoriesData WarehousesData Quality Monitoring
StageLate StageEarly Stage
Target SegmentEnterpriseMid size, Enterprise
DevelopmentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemiumContact Sales
LocationSeattle,WA, USNew York, US
Companies using it
Zoom logoInstacart logoShopify logoHomeToGo logoAXS logoClearcover logoMattermost logoStriim logoProposify logo1mg logoHotjar logoToo Good To Go logoFOX logoUproad logo
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