Here’s the difference between Quantive Signals and Snowflake. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
Overview | ||
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Categories | Business Reliability/Observability | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | SMB, Enterprise | Enterprise, Mid size |
Deployment | On PremSaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | Denver, Colorado | California, US |
Companies using it | ||
Contact info |