Here’s the difference between Quantive Signals and Airflow. 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.
Apache Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. Airflow uses workflows made of directed acyclic graphs (DAGs) of tasks.
Overview | ||
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Categories | Business Reliability/Observability | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | SMB, Enterprise | Enterprise, Mid size |
Deployment | On PremSaaS | SaaS |
Business Model | Commercial | Open Source |
Pricing | Freemium | Not Available |
Location | Denver, Colorado | US |
Companies using it | ||
Contact info |