Sisense and Birst are data analytics platforms competing in the analytics space. Sisense may have the upper hand due to its better pricing and support, but Birst offers a wide range of features for users needing more functionality.
Features: Sisense has an intuitive drag-and-drop interface, customizable dashboards, and seamless data integration capabilities. Birst is known for its advanced data modeling capabilities, automated analytics workflows, and strong governance features.
Room for Improvement: Sisense could improve in handling highly complex data scenarios and further enhancing its speed for extremely large datasets. Its customization capabilities could also be more versatile for advanced users. Birst's user interface could be more user-friendly, the complexity of setup could be reduced, and the cost-effectiveness improved, especially for smaller organizations.
Ease of Deployment and Customer Service: Sisense offers a straightforward deployment process and responsive customer support, making it easier for businesses to start quickly. Birst requires more time for deployment due to its comprehensive architecture, but it provides detailed guidance and robust support throughout the installation process.
Pricing and ROI: Sisense is competitively priced, offering lower initial costs and a favorable ROI, particularly for small businesses looking to scale. Birst's higher pricing reflects its advanced capabilities, providing significant ROI for organizations that can leverage its comprehensive features.
The support was very good.
I would like to see an improvement in the live data connection, specifically making the process faster.
There was no significant difference in pricing between Sisense and ThoughtSpot.
It offers two ways to access data: by cubing the data or hitting it live.
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).
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
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