OmniSci 5.0 adds powerful new visual analytics and data fusion capabilities for spatiotemporal data, extensibility with User Defined Functions and significant performance improvement.
Blog posts about Product Release
OmniSci 4.8 integrates deeply with the PyData stack and enables easy switching from visual data exploration to data science workflows.
Learn more about OmniSci 4.7, our latest release delivering exciting new features for spatial temporal analysis workflows.
Learn more about OmniSci 4.6, the largest collection of new features and improvements delivered across the OmniSci platform since OmniSci 4.0 last year.
The newest release of "pymapd (0.7)" picks up on the work from 2018; here’s what changed since the last pymapd release and our plans for pymapd and related tools in the first half of 2019.
MapD 4.0 new geospatial feature descriptions, examples of how to use them, and teasers for future geospatial functionality
We’re thrilled to announce MapD 4.0, which gives analysts transformational new ways to interact with very large datasets, especially those that include spatial data with temporal data
Today we are excited to launch MapD Cloud. Now, anyone can start benefiting from the power of MapD’s GPU-accelerated analytics platform.
Today’s launch of MapD Cloud includes two methods for importing data: transfering from an AWS S3 bucket, or uploading from a local text-delimited file.
We’re happy to announce the public availability of MapD version 3.5. While the primary work in this release focused on stability and bug fixes, we also have some key new features in both MapD Core and MapD Immerse that we are excited to make available to our users.