Birst and Qlik Sense compete in the business intelligence space, offering robust data analytics platforms. Qlik Sense has an edge due to its advanced features and valued data analysis capabilities, while Birst offers competitive pricing and robust support.
Features: Birst's networked business analytics integrate data effectively, leveraging a cloud-based structure with single-window management and built-in connectors for ERP/CRM/AWS. Qlik Sense provides intuitive self-service data visualization, an associative data model, and an enhanced scripting environment for analytics.
Room for Improvement: Birst could enhance its data visualization tools and introduce more sophisticated predictive analytics. Simplifying user customization and streamlining deployment options would attract more enterprises. Qlik Sense might benefit from improving licensing flexibility, streamlining its complex scripting language for easier user adoption, and enhancing multi-language support.
Ease of Deployment and Customer Service: Birst offers cloud-based deployment with strong integration capabilities, often appreciated for its technical support. Qlik Sense provides flexible deployment options, including on-premises and cloud, complemented by an active community and extensive training resources. Qlik Sense stands out for broad deployment flexibility and resource availability.
Pricing and ROI: Birst is often noted for its competitive pricing, promoting cost-effective analytics solutions. Qlik Sense's pricing aligns with robust features, delivering higher ROI through significant data insights. The primary contrast is Birst's affordability versus Qlik Sense's comprehensive capabilities providing higher long-term value.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
I would rate technical support from Qlik as a nine on a scale from one to ten.
In Turkey, the consultant firms are very professional, and they support you.
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
Scalability and availability are very important for any company when we talk about the scalability architecture of Qlik Sense.
It performs well in terms of performance and load compared to others.
The stability is very good.
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
It is just about how expensive it is to implement.
Core-based licensing operates on a subscription mode, allowing unlimited users.
Compared to Power BI, it is definitely costly.
The true power is in the ability to connect with any database, get the data, and work with the data.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
It has an interactive interface with Qlik graphs, pivot, and interactivity, which makes it easier to use than other tools.
| Product | Market Share (%) |
|---|---|
| Qlik Sense | 9.2% |
| Birst | 1.3% |
| Other | 89.5% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 7 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 87 |
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).
Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.
Benefits of Qlik Sense
Some of the benefits of using Qlik Sense include:
Reviews from Real Users
Qlik Sense stands out among its competitors for a number of reasons. Two major ones are its associative analytics technology and its remote access capability. Qlik Sense employs an associative analytics engine that gives users the ability to take their data analytics to the next level. Users can create visual connections between different datasets spread across their network, creating deep insights that enable users to gain a full understanding of their data. This engine is easily scaled up to allow a large number of users to benefit from the deep insights that it provides. Users can access Qlik Sense from anywhere in the world. Qlik Sense has an online portal that can be used consistently from anywhere at all. Having the ability to remotely analyze data gives users flexibility when it comes to choosing how to deploy their manpower.
Jarno L., the managing director of B2IT, writes, “The associative technology features are the solution's most valuable aspects. Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the user interface point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that.”
Tami S., the senior business intelligence analyst at the La Jolla Group, writes, “With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application. We appreciate that Qlik Sense is browser-based and the user experience is the same whether at home, in the office or on a boat. As long as the user has internet access, performance is the same.”
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