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?

Version 4.8

  • Added support to log the user roles during login, and the ability to use encrypted communication among distributed system components.
  • SpatioTemporal enhancements, including support for the ST_POINT geo constructor and performance improvements for ST_CONTAINS.
  • Performance and memory management improvements including certain high-cardinality GROUP-BY queries, and support for the OPTIMIZE command for sharded tables.
  • Immerse now integrates with JupyterLab. You can send SQL queries to Jupyter from SQL Editor, or access it directly from top level navigation. See Jupyter Integration for setup instructions.
  • Combo chart now supports zooming and panning on large time series measures down to millisecond-level granularity.
  • New Immerse features include the new Dark Mode theme, the ability to duplicate charts within dashboards, and export and import of dashboard metadata.

Version 4.7

  • Added support for Window functions in OmniSciDB. This is an early iteration of an often-requested SQL feature allowing for analytic computations over rolling windows. See the release notes and documentation for details and known limitations.
  • Added support for Visual Data Fusion, the ability to add measures on a combo chart from more than one source table, and also crossfilter across these sources. This is a natural complement to multi-layer geospatial chart.
  • Distributed Rendering support for polygons supporting much larger shape datasets within analytical workflows.
  • Filters on aggregates in Pointmap and Scatter Plot, equivalent to applying a HAVING filter on SQL aggregate queries.
  • INSERT TABLE AS SELECT (ITAS) support in both single-node and Distributed modes, allowing for easier ELT (Extract/Load/Transform) type workflows in OmniSciDB, typically combined with CTAS (CREATE TABLE AS SELECT).
  • Data import status within Immerse for time estimation and import success information.

Read more at the OmniSci Blog

Version 4.6

  • CTAS (CREATE TABLE AS SELECT) on distributed installations.
  • Import Parquet format data files.
  • Updates on variable length columns.
  • Single Sign-on with SAML for compatibility with Okta and other providers.
  • Extended NULL support for variable length arrays. The full array can now be null, in addition to individual elements.
  • Support for high-precision timestamps, up to nanosecond precision.
  • Improved performance loading String Dictionary from storage.
  • Significantly more scalable rendering from projection (non-aggregate) queries.
  • Immerse Data Manager:
    • Delete, Append, and Truncate (delete all rows from) tables.
    • Auto-detect header rows on import, manually indicate whether the first row is a header row.
  • Immerse:
    • Improved performance for non-aggregated Choropleth/Pointmap/Scatterplot charts.
    • Non-aggregated Choropleth now cross-filters on zoom.

Read more at the OmniSci Blog

Version 4.5

  • Enterprise trial version is now available.
  • Better memory handling through improved estimation of GPU memory requirements. Automatically run query on CPU if not enough GPU memory is estimated to be available.
  • Better handling of NULL values.
  • DECIMAL/NUMERIC fields can be downcast to different scales and precisions.
  • Dictionary size increased to 2.15 billion entries.
  • Add support for the lasso filter on Linemap chart.
  • Added clarity to formatting options and created a new option to represent billions as B.
  • Default ports changed from 9090-9094 to 6273-6280 to avoid collisions.
  • Renamed key components from MapD to OmniSci. See the Release Notes.

Version 4.4

  • Improved geospatial function support.
  • Support for pct/blend accumulation rendering modes in distributed configurations.
  • Improved error tracking.
  • Support for SAML authentication with Okta.
  • Improved performance on String Dictionary import for multiple String Dictionary-encoded columns.

Version 4.3

  • More robust joins between different types.
  • Better compression on decimal/numeric types.
  • More efficient rendering of lines using the GPU rather than first copying results to the CPU.

Version 4.2

Version 4.1

Version 4.0

Read more at the OmniSci Blog.




















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