Compare - Quantive Signals VS Apache Spark

Here’s the difference between Quantive Signals and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.

About Quantive Signals

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.

About Apache Spark

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

Comparison Table

Overview
CategoriesBusiness Reliability/ObservabilityData Modelling and Transformation
StageEarly StageLate Stage
Target SegmentSMB, EnterpriseMid Size, Enterprise
DeploymentOn PremSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationDenver, ColoradoUS
Companies using it
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
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