Birst provides a next generation, cloud-based platform for Networked Business Analytics.
Built with patented technologies, Birst puts the power of analytics in the hands of every information worker and dramatically accelerates the process of delivering insights.
Birst’s unique Networked Analytics approach, helps organizations achieve a new level of trusted insight-driven decisions, by using smart technology to connect data silos and analytics from centralized and decentralized teams, into a trusted fabric of analytical insights for company-wide consumption and decision making.
Networked Analytics has helped many Birst customers make better decisions, to improve profitability, reduce costs, increase revenues and transform the way they do business. Birst delivers the fastest time to value in the industry. Most Birst customers are in production and can see value from their data, within 90 days.
Cost Structure for Birst:
- On-Premise: License fee includes an upfront fee to own the software or other intellectual property for a fixed term
- Cloud-based/SaaS: Pricing includes upfront cost for customization & integration along with monthly per user or subscription cost
- On-Premise: An additional cost over and above the upfront cost has to be paid for ongoing support and maintenance
- Cloud-based/SaaS: There is no maintenance and support cost for the Cloud/Web-based solution
- On-Premise: Typically charged over and above the license cost
- Cloud-based/SaaS: Included in the monthly subscription cost
||Will vary depending on the functional requirements or services chosen
|Data Migration Cost/Change Management/Upfront Switching Cost
||Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system.
||Dependent on the type of training opted by an Organization, whether it is end-user training or group/department training or video/self-training or training the trainer. Costs will typically increase as one moves from video/self-training towards end-user training
- On-Premise: Includes cost for updates, maintenance, upgrades, and patches
- Cloud-based/SaaS: Renewal cost is equivalent to the fees paid monthly or annually, based on number of users
||What is the cost of the software?
||Pricing available on
||What options are available for product deployment?
||On-Premise and Cloud
||What is the pricing model?
||Subscription and Licensing Models
||Is there a minimum monthly or yearly commitment required for purchase?
||Minimum commitment of 20 users billed annually
||Is there an option of requesting custom quote?
||Does the vendor provide a free trial option?
Some of the product limitations include:
- Does not provide mapping feature for location analysis
- Does not support non-English languages
- Less suitable for complex analysis
- Sometimes lack synchronization between the database and the front-end
Sisense: Starting at $21,000 per annum for 5 users
Tableau Server: Starting at $35 per user per month
QlikView: Starting at $1,350 per user
- Faster time to value: Birst dramatically accelerates the laborious and time-consuming process of delivering analytics across the enterprise. Leveraging patented automation technology that reduces human intervention, a modern cloud architecture that eliminates traditional on-premises tasks, and metadata reusability that makes development more efficient and more productive, Birst delivers more value to the business in far less time.
- Trusted data at business speed: Birst’s network of analytics is built on top of a common and reusable set of business rules and definitions that are generated without manual intervention by Birst’s patented automation technology. This shared set of business definitions, or semantic layer, enables users to work with a unique view of the data, eliminating ambiguity around what a given measure or KPI means. Birst’s semantic layer supports data governance and solves the chaos produced by the proliferation of analytic silos across the enterprise.
- Self-service for all information workers: Birst puts the power of analytics in the hands of every information worker, not just data-savvy analysts or highly-trained data scientists. Birst’s business-user-oriented UX empowers people to access, prepare, and explore data using intuitive drag-and-drop tools, discover insights and share them with individuals and teams across the Birst network, and predict business outcomes with one click and without support from experts. All of this through a single integrated web-based experience, in the office or on the road.
- Enterprise-caliber performance: Birst has been designed to deliver world-class performance and scale on top of a modern, multi-tenant architecture that can scale linearly across a shared-nothing, multi-node environment. This means that, unlike traditional client-server based solutions, there is no single bottleneck to hinder performance, enabling the business to grow its analytics footprint without limits.
- Lower cost of ownership: Birst is a true Software-as-a-Service solution built on a next-generation multi-tenant cloud architecture that delivers the ability to deploy virtual BI tenants, virtualize data and metadata, federate semantic models across virtual tenants, and automate manual tasks. This translates into a lower total cost of ownership through reduced resources, zero hardware, zero upgrade costs, and rapid deployments.
Patented machine learning technology: Leveraging patented technologies (U.S. Patent Nos. 9,652,516 and 9,483,537) Birst helps business users work with data and discover insights much faster and with less effort. Birst uses machine learning to intelligently discover business-critical relationships in the data and automatically build visualizations and dashboards, and utilizes advanced algorithms to take raw data and instantly structure it in an organized and consistent set of business metrics and attributes.
Networked analytics: Birst’s pioneering networked approach gives individuals, teams, and departments self-service analytics environments that can be connected to each other. This delivers the freedom to explore, experiment and work independently in “virtual sandboxes”, while leveraging and extending the insights of others, enriching the network in the process. The result is an organically grown network of insights that encourage business-user self-service, collaboration, and rapid prototyping in a secure and well-governed environment.
Modern cloud architecture: Birst is built on top of a modern cloud architecture that delivers all the benefits of a true Software-as-a-Service solution, including multi-tenancy, elasticity, horizontal scalability, instant upgrades, and low cost of ownership. Birst is suitable for every kind of deployment: public cloud, private cloud, on-premises, or hybrid. This stands in sharp contrast to vendors who force customers to move all data to the cloud, and legacy BI providers that host their products like an application service provider (ASP).
Agile semantic layer: In contrast to desktop discovery tools that promote data anarchy, Birst’s semantic layer contains a single and reusable definition of every object - business attributes and measures - and acts as a layer of abstraction between the underlying data and the end user. Birst's semantic layer can be federated across the network of analytics while still maintaining its singularity and reusability. This delivers enormous advantages, from giving business users the ability to work in their own Birst space (virtual tenant) while still connected to the network, as well as more agile and flexible management of DEV, UAT and PROD environments.
Seamless user experience: Birst supports all styles of analytics – visual data discovery, interactive dashboards, enterprise pixel-perfect reporting, native and offline mobile, advanced predictive analytics, and self-service data preparation – in one seamlessly integrated UX. Birst blurs the lines between the different modules, enabling users to work with data as they move from data prep to discovery to dashboards to reports, creating, collaborating, and publishing within one experience.