Here’s the difference between Quantive Signals and Databand. 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.
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.
Overview | ||
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Categories | Business Reliability/Observability | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | SMB, Enterprise | Mid size, Enterprise |
Deployment | On PremSaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | Denver, Colorado | New York, US |
Companies using it | ||
Contact info |