Here’s the difference between Redshift and Quantive Signals. 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.
Quantive Signals is a business observability platform that autonomously monitors your KPIs and intelligently alerts you when, what, and why something unexpected happens. With Quantive Signals, you can scale your business operations and mitigate disruption as quickly as possible. Quantive Signals empowers you to Bring data from any source into a unified platform To automatically monitor data and identify anomalies, identify factors that create unexpected changes, and respond quickly to issues with real-time alerts.
Overview | ||
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Categories | Data Warehouses | Business Reliability/Observability |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise | SMB, Enterprise |
Deployment | SaaS | On PremSaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Freemium |
Location | Seattle,WA, US | Denver, Colorado |
Companies using it | ||
Contact info |