Business intelligence (BI) tools are a friend to any enterprise that uses data for modern reporting, analytics and data science. Below, we delve into commercial business intelligence software versus open-
Are there open-p commercial tools?
In recent years, more and more companies that draw conclusions from business data are switching from manual reporting to more advanced business intelligence tools, be it using commercial BI software or open-s are expanding (or even basing) their product on providing customers with an analytical panel using BI embedded data analytics
If you want to harness the power of business intelligence, one of the first steps is choosing the right tool by weighing up functionality, maintenance, and license costs. The most popular commercial offerings are Tableau, Power BI and Qlik.
Alongside these, there are several open-ereby the license is free or much cheaper. Are they worth considering? Continue reading for the lowdown
What are BI tools used for?
Every company that wants to turn data into actionable insights and make data-driven decisions must use business intelligence tools if they’re to achieve their goals efficiently.
The process of building a BI solution starts with business data analysis and available data assessment, and then BI specialists prepare data sources and build a dashboard. Once dashboards are ready, they’re published on the server and available for end-users in a web browser, mobile application or as a part of a wider platform.
What is the purpose of BI tools?
Generally, business intelligence tools are used to enable connection to multiple data sources, process data, andprovide users with data analysis, most often in the form of charts or interactive dashboards. Data prepped in this manner can be then used by data scientists in further processing.
Nowadays, apart from these core functionalities, BI tools offer:
- Huge selection of interactive data visualizations
- Platform to find insights and collaborate
- Data management
- Machine learning algorithms and forecasting
- Delivery of insights from data analysis using common language
Open-
The most important difference between commercial and open-ness intelligence solutions. Thus, they often require in-house maintenance and infrastructure without official support of the tool provider. On the other hand, you have direct access to the code, making it more reliable because you have greater control over it
Commercial tools usually offer more functionalities, full support, and you can often take advantage of their infrastructure, significantly reducing maintenance resources.
Open-
Open-make your data analysis capabilities skyrocket, and at the same time you save on the purchase of expensive commercial licenses
Additionally, open-sourceBI reportingtools give full code insight, increasing the reliability. What are the best ones? Good examples are Metabase, Superset, and Preset.
Metabase
Metabase is an open-etabase cloud or on-premise, but it requires managing and self-maintaining infrastructure. It allows users to connect to 20+ types of data sources
While lots of features are available with the free version of an on-prem open- embedded analytics and SAML authentication are available only with the paid versions
Prices vary, depending on the configuration. For on-premise:
- Open-source: free
- Pro: $500 a month including 10 users, then $10 per additional user per month
- Starter: $85 a month including 5 users, then $5 per additional user per month
- Pro: $500 a month including 10 users, then $10 per additional user per month
For both, there’s an additional pricing model for the enterprise version.
- Very intuitive to set up and develop the dashboards
- Visual SQL query builder
- Advanced embedded data analytics options
- Automated reports on Slack or email
- No AI/ML capabilities
- Not that many data visualizations are available
Apache Superset
One of the best-known open-wing an AirBnB hackathon. It’s a cloud-native solution that enables data mining, dashboard creation, and embedded analytics
Apache Superset is completely free to use, but you need DevOps skills to set it up and maintain the infrastructure. The only cost is for the infrastructure, which can be put on a public cloud or on-premise.
The tool itself is very powerful, with various data connections and data visualization types, as well as good user management and embedding options.
- More than 40 types of data visualization
- Integration with most user authentication backends such as Okta and OAuth
- More than 30 data connection types
- DevOps skills required to set-up infrastructure
- Interface isn’t very user-friendly or intuitive
Preset
Preset is a fully cloud-hosted open-he full potential of Superset and also takes care of infrastructure, security, and scalability features
The tool provides no-code interactive charts and a dashboards builder, and depending on the configuration advanced sharing and user management features. The Starter version is free of charge, while the Professional license costs $20 per user per month. There’s also an enterprise license model.
- Over 40 types of data visualization
- Advanced sharing options with Slack integration and multiple workspaces to store the dashboards
- Charts and dashboards cache to improve performance
- No infrastructure costs or maintenance
- No AI/ML capabilities
- No common language data questioning
- No forecasts/clustering
Commercial BI software
The commercial market for business intelligence tools is large at the moment, with many offering not only ways to create data visualizations, but also machine learning, embedding, and more. The best options for your business intelligence projects include Tableau, Microsoft Power BI, Qlik, and Looker, while more niche tools include Sisense and QuickSight. Below, we’ll discuss Tableau and QuickSight. Why? They have completely different license models.
Tableau
TTableau has been listed among the leaders and pioneers of BI tools for many years. Their solution is end-to-end, including connecting to data, transforming it, visualizing, and sharing it in various forms.
For sharing dashboard and data storage, select Tableau Server (hosted by yourself), or Tableau Online (fully hosted and maintained by Tableau). With Tableau Server, it’s also possible to create interactive dashboards for embedded data analytics.
Their most popular pricing licenses span Tableau Online, on-premise and public cloud as follows:
- Tableau Online. $70 per month for Creator, $42 for Explorer, and $15 for Viewer
- Tableau hosted on-prem/public cloud. $70 per month for Creator, $35 for Explorer, $12 for Viewer
Note: if you’re considering more than 600 users, it’s good to have a core-based license model.
- Tableau Prep – basic but helpful data preparation tool
- Multiple data connectors – SQL databases and data warehouses, flat files, data lakes, Web Data Connector
- Wide customization and visualization options
- AskData to ask data-related questions using common language, plus forecasting and other ML capabilities
- Tableau Mobile and Tableau Server to share content
On the downside: not flexible pricing models
QuickSight
QuickSight is provided by AWS and is the only BI tool that’s a part of this infrastructure. It gives you the ability to connect to multiple data sources and build different and interesting visualizations and dashboards, and it also uses AI insights.
QuickSight is hosted on AWS and the required resources automatically scale up to the needs of the data, so there’s no need to maintain the infrastructure yourself.
Unlike most BI tools on the market, the cost of a QuickSight license is calculated based on dashboard usage – specifically the number of sessions (30 minutes of interaction with the dashboard). It costs $3k/$20k/$57.6k/$94k for the following number of sessions: 6k/50k/200k/400k. This pricing model offers an unlimited users number with no additional paid license per each user. No additional infrastructure fees are charged.
QuickSight also offers another pricing model based on the number of users. Each user license is paid, the prices vary between $5 per a viewer account and $24 per an author account, although there’ no limit for the total number of users.
- Native AWS Integration makes it easy to connect other services like Sagemaker, S3, IAM
- License mode can be based on number of sessions
- QuickSight Q to ask data-related questions using common language, and machine learning insights to perform advanced analytics
- Serverless, and no need to maintain infrastructure
Downsides: limited customization options
How to select the right business intelligence tool?
Despite the fact that there are several unchanged market leaders, choosing the perfect business intelligence platform isn’t easy, be it commercial software or an open-nts and the applications you’d like to use the tool with
Of course, for budgetary reasons, it’s worth considering open-e turn out to be as good as expensive commercial options
Some of the most important factors to consider when choosing a BI tool are:
- License pricing
- Data connection possibilities and limitations
- Security, user management and authentication
- Types of visualizations
- General performance of the tool
- Maintenance and cost of infrastructure
- Embedding and associated APIs
- Sharing options
- General BI functionalities
The market is dynamic, and business intelligence software producers keep surprising us with new functionalities to solve existing problems. To choose and recommend the best tool, you need to be up-to-date with what’s out there in the market.
Using our expertise, we’re happy to help you pick the best BI tool for your individual needs, and develop BI analytics for your company.
