Find out in this report how the two Embedded BI solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
I stopped opening tickets due to insufficient and untimely responses.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
We have dedicated support contacts for our company, but pushing through features we need requires long processes and upvotes on their website despite the support.
The platform does not have technical problems with scaling data or connections.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
Scalability depends on your contract with them, whether it's consumption-based or row-based.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
This workaround consumed a lot of resources and led to reduced performance, with pinboards loading for approximately two minutes for each filter criterion.
I use it primarily for large datasets, and it performs faster than regular data visualization tools such as Power BI, which has limits on dataset size.
A crucial feature we needed is missing, which involves restricting views of certain KPIs when users select conflicting parameters.
Handling governance when there are many models and dashboards is complex.
Currently, it is not as customizable as the options available on Power BI or Tableau.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
The main core of HubSpot is to create models, connect data pipelines, and create business models and dashboards on top of them.
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).
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.
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