Advancing Analytics
Our Multidimensional Query Engine offers unparalleled granularity, flexibility, and precision when analyzing data. Watch our video and learn about Interactive Exploratory Data Analysis and Data Modeling.
Our Multidimensional Query Engine offers unparalleled granularity, flexibility, and precision when analyzing data. Watch our video and learn about Interactive Exploratory Data Analysis and Data Modeling.
Our Multidimensional Query Engine offers unparalleled granularity, flexibility, and precision when analyzing data. Watch our video and learn about Interactive Exploratory Data Analysis and Data Modeling.
All analytical results are calculated dynamically based on the resultset at query time.
Single facets or full-text can be queried for exact value or wildcard searches. Multiple values can be connected with Boolean operators (AND, OR, NOT).
Full-text, individual facets, multiple facets, and a combination of full-text and facets can be used to build advanced search clauses using Boolean operators (AND, OR, NOT).
Query expressions are autocompleted simultaneously across all facets including full-text. In additon, full-text also supports phrase autocomplete.
Supports multi-select, multi-faceted querying. For every addition or deletion of a value, real-time analysis is performed and results are updated.
For each facet including full-text, search results are grouped by facet values which can then be filtered or sorted by frequency and /or alphabetically.
Any facet or combination of facets can be used to sort search results.
Less than, Equal to, Greater than, Less than or equal, Greater than or equal operators can be used to specify ranges either individually or in combination for full-text and facet queries.
Join operators can be used to get a histogram of values from one facet for each value of another facet.
Outlier values are automatically detected in both numerical and text fields.
Functions such as frequency counts, histograms, median, mean, minimum and maximum are supported.
Functions such as summations, subtractions, multiplications, and divisions are supported.
Functions such as "If this… then that…" are supported.
Time Series Analysis is supported for each facet and can be combined with a statistical analysis of time series data over 1-n facets.
Geo-spatial data analysis is supported and can be combined with a statistical analysis over 1-n facets.
Training support for ML models
All analytical results are calculated dynamically based on the resultset at query time.
Single facets or full-text can be queried for exact value or wildcard searches. Multiple values can be connected with Boolean operators (AND, OR, NOT).
Full-text, individual facets, multiple facets, and a combination of full-text and facets can be used to build advanced search clauses using Boolean operators (AND, OR, NOT).
Query expressions are autocompleted simultaneously across all facets including full-text. In additon, full-text also supports phrase autocomplete.
Supports multi-select, multi-faceted querying. For every addition or deletion of a value, real-time analysis is performed and results are updated.
For each facet including full-text, search results are grouped by facet values which can then be filtered or sorted by frequency and /or alphabetically.
Any facet or combination of facets can be used to sort search results.
Less than, Equal to, Greater than, Less than or equal, Greater than or equal operators can be used to specify ranges either individually or in combination for full-text and facet queries.
Join operators can be used to get a histogram of values from one facet for each value of another facet.
Outlier values are automatically detected in both numerical and text fields.
Functions such as frequency counts, histograms, median, mean, minimum and maximum are supported.
Functions such as summations, subtractions, multiplications, and divisions are supported.
Functions such as "If this… then that…" are supported.
Time Series Analysis is supported for each facet and can be combined with a statistical analysis of time series data over 1-n facets.
Geo-spatial data analysis is supported and can be combined with a statistical analysis over 1-n facets.
Training support for ML models