Birst vs Mode Analytics comparison

Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.

A unified semantic layer maintains common definitions and key metrics.
Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.

Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.

Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).

Mode builds technology that helps analysts and data scientists unlock the value in data. The collaborative analytics platform tightly integrates SQL queries, Python notebooks, and reporting tools to make a profound impact on an entire organization's ability to use data effectively. Mode drives data-informed decisions at innovative companies including Clover Health, Thumbtack, Twitch, and Zenefits. Mode also supports the analytics community with free learning resources, open source SQL queries, and offers its tools for free to anyone analyzing public data.