Choosing the right Tellius cluster size
Determine the ideal Tellius cluster size for your organization by considering data volume, usage patterns, workloads, and ETL frequency for optimal performance.
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Determine the ideal Tellius cluster size for your organization by considering data volume, usage patterns, workloads, and ETL frequency for optimal performance.
Tellius runs on a high-performance compute engine designed to quickly answer business questions. Because each organization has different data volumes, usage patterns, and peak activity windows, there’s no one-size-fits-all approach to cluster sizing. The following three key factors play a major role in determining the right configuration:
Tellius features fully automated scaling, allowing infrastructure resources to increase or decrease based on demand. As you begin loading data and using the platform, you’ll gain insights into your environment’s typical resource consumption throughout the day—tailored to your specific use case.
Search-focused: Most users rely on Natural Language Search and Vizpad dashboards. Only a few users create Insights.
Balanced (Search & Insights): Your user base is evenly split between those using Natural Language Search and those building Insights.
Insights-focused: Most users create their own Insights or machine learning models, with minimal use of Natural Language Search.
Once or twice per day: You load data during only one or two periods throughout the day. This load usually happens when usage is low.
Three or more times per day: You load data during three or more periods throughout the day. This load may happen when usage is high.
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