AI Surge users appreciate its Increases data agility, Boosts data flexibility, Accelerates data delivery times, Promotes productivity, Low-code platform, Facilitates data preparation, Enables exploratory data analysis, Accelerates model deployment, Maximizes data science team value, Solves data productivity challenges, Deploys predictive models quickly, Multi-view analysis capabilities, Simplifies marketing intelligence analysis, Cloud-based infrastructure, Optimizes resource usage, Scalable solution, Cost-effective, Enhances data observability, Provides customer interaction insights, Simplifies model building, Supports multiple cloud deployments, Compatible with various technologies, Streamlines machine learning model deployment, Empowers data-driven decisions, Offers data security, Facilitates data governance, Broad industry applicability, Offers AWS bonus credits, Supports Kubernetes integration, Tool, Service, & Application model, 90% Faster Insights, Simpler data discovery, Observability for Actionable Insights, 4-week project delivery, Reduces model building time, Offers private cloud deployment, Offers public cloud deployment, Offers hybrid cloud deployment, Supports multiple cloud technologies, Apache Nifi integration, Delta Lake integration, Airflow integration, Spark integration, Parquet integration, Google Cloud integration, Azure Cloud integration, Kubernetes integration, Data dojo feature, No code connector feature, Predictive modelling feature
and Data governance feature, though some note a
Requires AWS for bonus, Limited integration technologies, No on-premise deployment option, Possible oversimplified analytics, Four week delivery period, Data security dependent on self-hosting, Unspecified data governance measures
and Not entirely no-code.
