Documentation

Gain new insights to your data with fast, responsive graphics and SQL queries.

Install and configure your OmniSci instance, then load data for analysis.

Extend OmniSci with custom charts and interfaces. Contribute to the OmniSci Core Open Source project.

What's New?

Added support for UPDATE via JOIN with a subquery in the WHERE clause.
Initial support for TEMPORARY (that is, non-persistent) tables.
Improved performance for multi-column GROUP BY queries, as well as single column GROUP BY queries with high cardinality. Performance improvement varies depending on data volume and available hardware, but most use cases can expect a 1.5 to 2x performance increase over OmniSciDB 5.0.
Improved support for EXISTS and NOT EXISTS subqueries.
Added support for LINESTRING, POLYGON, and MULTIPOLYGON in user defined functions.
Immerse log-ins are fully sessionized and persist across page refreshes.
Pie chart now supports "All Others" and percentage labels.
Cohorts can now be built with aggregation-based filters.
New filter sets can be created through duplicating existing filter sets.
Dashboard URLs now link to individual filter sets.

The new filter panel in Immerse enables the ability to toggle filters on and off, and introduces Filter Sets to provide quick access to different sets of filters in one dashboard.
Immerse now supports using global and cross-filters to interactively build cohorts of interest, and the ability to apply a cohort as a dashboard filter, either within the existing filter set or in a new filter set.
Data Catalog, located within Data Import, is a repository of datasets that users can use to enhance existing analyses.
- To see these new features in action, please watch this video from Converge 2019, where Rachel Wang demonstrates how you can use them.
Added support for binary dump and restore of database tables.
Added support for compile-time registered user-defined functions in C++, and experimental support for runtime user-defined SQL functions and table functions in Python via the Remote Backend Compiler.
Support for some forms of correlated subqueries.
Support for update via subquery, to allow for updating a table based on calculations performed on another table.
Multistep queries that generate large, intermediate result sets now execute up to 2.5x faster by leveraging new JIT code generator for reductions and optimized columnarization of intermediate query results.
Frontend-rendered choropleths now support the selection of base map layers.

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