Overview
The Scuba Time Series Connector for Tableau is a Web Data Connector (WDC3) that enables direct access to real-time and historical behavioral data from Scuba’s powerful time series database. Designed for seamless integration with Tableau, this connector allows organizations to perform fast, scalable time series analysis while maintaining Tableau’s familiar visualization and dashboarding capabilities.
Key Benefits
Seamless Time Series Integration
The connector bridges Scuba’s high-volume event data with Tableau’s interactive analytics environment. Users can visualize and explore massive datasets with ease, tracking user behaviors, engagement trends, and operational metrics in real time.
Optimized for Performance and Scale
Scuba’s time series database is purpose-built for high-cardinality, event-based data. With optimized query execution, the connector ensures rapid response times—even when analyzing billions of data points. This makes it a robust solution for teams dealing with complex, large-scale behavioral datasets.
Built for Both Business and Technical Users
Effortless Setup – A streamlined installation and configuration process allows analysts and developers to quickly connect Scuba to Tableau without extensive setup.
Deep Behavioral Insights – Users can drill down into customer journeys, user interactions, and engagement metrics to uncover actionable trends and anomalies.
Flexible and Scalable – Whether analyzing short-term activity spikes or long-term behavioral trends, the connector adapts to varying data needs and use cases.
How It Works
The Scuba Time Series Connector acts as a bridge between Tableau and Scuba’s event-driven database. Using Tableau’s Web Data Connector framework, it retrieves data on demand, allowing users to:
Connect to and query time series data directly from Tableau.
Leverage Scuba’s high-performance analytics engine to generate insights.
Create custom dashboards and reports based on real-time or historical behavioral data.
Use Cases
Product Analytics – Track feature engagement and user retention over time.
Marketing Performance – Analyze campaign effectiveness and customer acquisition trends.
Operational Monitoring – Monitor real-time system metrics and detect anomalies before they impact performance.
Customer Experience Analysis – Understand user behavior patterns to optimize customer journeys.