5 Minutes

The 14 Best Power BI Alternatives in 2024

Power BI is a fantastic business intelligence tool, however, it’s not suitable for everybody. Some people may find that it’s difficult to use, too expensive, incompatible with their OS, or are just looking for an open source alternative. Here are some Power BI alternatives that might suit your needs better:

The 14 Best Power BI Alternatives in 2024

Power BI is one of the top Business Intelligence (BI) and data analysis tools in the market. It's easy to use, secure, highly customizable, and integrates seamlessly with other Microsoft 365 products.

But in the BI landscape, there's no such thing as a one-size-fits-all solution. 

As great as Power BI is, its user interface, data connector ecosystem, or price tag doesn't gel with everybody. 

If you're looking for Power BI alternatives, here are 14 robust BI solutions to consider.

The 14 Best Power BI Alternatives in 2024

In a world where data reigns supreme, the need for agile, robust, and versatile data analysis tools has never been more critical. Your organization's success hinges on the ability to efficiently mine valuable insights from data, but relying solely on one solution, like Microsoft's Power BI, may not always be the optimal choice.

Enter 2024, where the data landscape is undergoing a transformative shift. In this article, we're stepping into uncharted territory, exploring the ever-expanding universe of data analytics alternatives to Power BI.

Ditch the cookie-cutter approach as we unveil a meticulously curated selection of Power BI alternatives that have been meticulously examined, compared, and contrasted based on their unique strengths. Whether you're a data-driven pioneer or a seasoned analyst, we've got your data needs covered.

Prepare to embark on a journey that will redefine the way you think about data analysis tools. From cutting-edge features to flexible pricing models and unwavering security measures, our comprehensive analysis leaves no stone unturned. Join us as we introduce you to the future of data insights and empower your organization to make data-driven decisions like never before.

Evaluating The Top Alternatives To Power BI In 2024

When assessing Power BI alternatives, it's essential to consider various factors to ensure the tool aligns with your needs:

  • Licensing and Costs: Understand the pricing model, any hidden fees, and the total cost of ownership.
  • Ease of Use: Consider the learning curve for the platform, especially if the team lacks technical expertise.
  • Integration Capabilities: Ensure the tool can seamlessly connect with your data sources & data connectors.
  • Scalability: As your business grows, the BI tool should be able to handle increased data volumes and user demands.
  • Community and Support: Open-source tools often have vibrant communities. Check for regular updates, forums, and the responsiveness of support channels.
  • Customizability: Consider if the tool allows for custom plugins or integrations to cater to unique business needs.
  • Security Features: Data is invaluable. Ensure the tool has robust security measures in place, such as encryption and role-based access controls.

Remember, the best tool for your organization will align with both your immediate and future needs, ensuring a seamless integration into your business processes.

Top Alternatives to Power BI

1. PolymerSearch

Polymer is a web-based BI tool with AI capabilities and will soon have ChatGPT implementation. Dashboards can created and accessed entirely through the web browser.

It’s extremely beginner-friendly and is one of the best BI tool for marketers and non-technical professions such as salespeople, as well as data scientists looking to create customized, self-service dashboards.

To utilize Polymer, simply connect to a data source or upload a dataset onto the web tool. Utilizing machine learning technology, the tool can quickly transform your dataset into an interactive dashboard in seconds, saving you significant amounts of time.

Since Polymer is a web tool, it is compatible with all operating systems including Windows, Mac, and Linux.

Additionally, the dashboards can be shared via a URL, which can be password-protected or restricted to specific accounts.

Polymer's unique advantage lies in its interactive and data analytics features, which allow for easy filtering and searching using "tags," as well as a variety of data visualization and analytics tools.

If your team requires rapid insights from your dashboard, they can easily access the Polymer app via a shared URL, allowing them to extract insights on their own.

Polymer offers a free plan, with paid plans starting at $9/month for one user, compared to Power BI's $25 per user per month. Due to the low pricing, Polymer Search is one of the best and cheapest alternatives to PowerBI.

2. Tableau

tableau dashboard

Tableau is a better Power BI alternative. While it comes at a higher cost of approximately $70/month, Tableau offers significant advantages.

Firstly, it is notably faster than Power BI and offers a wider range of data visualization customizations that are both quicker and easier to set up. Additionally, Tableau provides better analytics capabilities for those looking to explore their data.

On top of that, it offers almost everything that Power BI does: Over 60 data connectors, ETL, integration to R/Python for data scientists, predictive analytics and data modelling.

Tableau is the closest alternative to Power BI and also works for Macs, making it a solid alternative for Mac users.

Example: Tableau Dashboard

3. Google Data Studio

Google Data Studio Dashboard

Google Data Studio is the best free alternative to Power BI, offering a straightforward and cost-effective way to create interactive reports and dashboards.

The advantages of Data Studio are: It offers seamless integration with other Google services: Users can easily import data from Google Sheets, Google Ads, Google Analytics, BigQuery, Dv360, campaign managerand other services.

Google Data Studio offers an easy-to-learn interface with drag-and-drop features where you can customize and style your charts. It only takes a few clicks to get a dashboard started.

Something to note: Data Studio doesn't work well with data sources outside of Google. These will require ETL and programming work to automate.

Example: Google Data Studio Dashboard

4. Metabase

Metabase Dashboard

Metabase is the best open source alternative to Power BI. It’s free and allows you to host the dashboard on your own server, which is ideal for handling sensitive data (e.g. customer data).

The advantages of Metabase is it provides extensive support for databases. Metabase supports a wide range of databases, including PostgreSQL, MySQL, and SQLite.

It also has a user-friendly interface and requires no code to operate.

However, the downsides of Metabase are it comes with limited customization and data connectors. Compared to PowerBI, it has fewer options for advanced data analytics and modeling.

The community is also much smaller and may impact support and availability of resources/documentation.

Metabase offers a free plan and paid plans starting at $85/month.


DOMO Dashboard

If Tableau is the gold standard for business intelligence, DOMO is the platinum standard. 

Domo is a comprehensive BI tool that integrates with multiple data sources, allowing businesses to consolidate their data into a single, easy-to-use platform.

It has great data manipulation and ETL features that can be easily learnt without coding in SQL. However, for those who are technical, DOMO provides a MySQL workspace where you can perform more complex data joining and cleaning.

What sets DOMO apart from its competitors is the amount of data connectors it offers: There are over 1000+ data connectors! Whatever data source you require, DOMO supports it.

DOMO also connects directly to R, allowing data scientists to perform complex tasks like data mining and prediction. It’s a very seamless experience to perform data analytics using R, and sending data back to a DOMO dashboard for presentation.

DOMO is also more beginner friendly than both Power BI and Tableau. All these tools require a bit of training to learn, but I found DOMO to be the easiest to learn.

There’s a catch to all this though: the pricing. DOMO’s pricing isn’t shown to the public, however, their product is targeted towards enterprise and not small to medium sized businesses.

6. Sisense

Sisense Dashboard

Sisense is a great alternative to Power BI that supports Linux based operating systems like Ubuntu, CentOS, Amazon Linux and Redhat OpenShift.

The major advantage of Sisense over other BI platforms like Power BI is the “ElastiCube Manager.” 

ElastiCube lets data scientists quickly and easily compile lots of data together if they are comfortable with SQL. ElastiCube also means you won’t need any data warehouse or supporting infrastructure on the data side.

Another advantage of Sisense is that it also offers “in-chip processing,” which can process data 100 times faster than in-memory tools. Sisense is also one of the few tools that offer AI to analyze data.

The drawback of Sisense is that it’s complex to use. It’s significantly more complicated than Power BI and will require extra training time to master the tool. It also lacks the ability to do advanced/scheduled reports and comes with limited dashboards.

Example: Sisense Dashboard

7. QlikView

QlikView Dashboard Example

QlikView is a guided data analysis tool built for technical teams of data scientists or developers in order to tackle large, complicated datasets, and build business applications which can store different reports, dashboards and calculations. 

Unlike other BI tools like Tableau, both QlikView and Qlik Sense use the same engine called “Qlik associative engine” to help with the data discovery process. Qlik allows you to quickly explore relationships in the dataset to find patterns and trends without having to write SQL queries.

QlikView allows you to create pixel-perfect graphs for jobs that require them. 

The disadvantage of QlikView is that it’s more complicated to learn and non-developers won’t be able to create their own visualizations. 

Example: QlikView Dashboard

8. Qlik Sense

Qlik Sense vs Qlikview Dashboard

If you’ve never used a Qlik product or have a less technical team, Qlik Sense is usually the tool to choose over QlikView.

Qlik Sense is a web-based, self-service data discovery SaaS tool with a more modern UI than QlikView. Qlik Sense focuses more on ease of use with its drag-and-drop functionality which allows for fast and easy development of visualizations, dashboards, and stories.

Using its associative data model, Qlik Sense makes it easy to find relationships between different data sets with its unique data model. Qlik Sense can also handle large data sets and scale with your business needs.

Unlike QlikView, you don’t need to be a data scientist or developer to use Qlik Sense. This allows every team member to be an analyst. 

The main downside of Qlik Sense is the pricing: Qlik Sense can be expensive, particularly for large organizations or those with complex data requirements.

Example: Qlik Sense Dashboard

9. Zoho Analytics

Zoho Analytics Dashboard

Zoho Analytics is a budget-friendly, cloud-based BI platform. It is AI-powered, self-service, and is equipped with data prep and analytics features.

It connects to over 500 data connectors and incorporates AI into its tool, allowing non-technical business users to hold a conversation with the AI and ask questions related to the data.

Example: Zoho Analytics Dashboard

Zoho Analytics is an affordable alternative to Power BI, priced at $25/month. The downside to Zoho Analytics is there is a bit of a learning curve to it, and it’s not user-friendly towards those who don’t have a data background. 

10. MicroStrategy

Microstrategy Dashboard

MicroStrategy is a business intelligence tool used by many large companies like Disney and ABC. It’s designed for all levels of experience, allowing you to build interactive dashboards with no code, low-code or full code. 

The drag-and-drop interface allows you to quickly create a dashboard, but it’s limited to the small library of visuals (10 built-in and a few custom ones). In order to get the most out of MicroStrategy, you’ll need to take the full-code approach which requires a great deal of expertise, time and money.

MicroStrategy is no. 10 on this list because it used to be a top BI tool, but has become more of a legacy system after all these years. Still, with the developments they made in the past two years, the tool seems to be headed in a positive direction.

11. Looker

Looker is a cloud-based BI platform that provides businesses with real-time data analytics and visualization. It's particularly well-suited for those of us who rely on SQL databases.

The advantages of Looker are it offers great flexibility when it comes to building custom data models and visualizations. It also provides real-time data insights to help make informed decisions quickly.

The downsides of Looker are that it has a steep learning curve and limited non-SQL database support.

Furthermore, it is an enterprise-level tool and isn't affordable for most businesses.

Overall, Looker is a tool designed for large businesses who are looking for a cloud-native architecture, SQL-centric approach and lots of flexibility/customization.

12. Geckoboard

Geckoboard is a BI platform designed to surface the metrics and Key Performance Indicators (KPIs) that are essential to your decision-making process. 

Some of its unique selling points are the beginner-friendly user interface and intuitive workflows. For example, when creating dashboards, Geckoboard sets you off through a guided setup process — just follow the on-screen instructions, and your dashboard will be ready to go in a few minutes.

Geckoboard also boasts a library of over 90 data integrations, allowing you to consolidate all your business data into one location without writing code.

By the way, Geckoboard's subscription costs $49 per month if you go with monthly billing. 

13. MicroStrategy

MicroStrategy is a BI platform that incorporates AI to enable the quick discovery of data-driven insights. 

For example, its AI chatbot, "Auto" is capable of turning your data questions and requests into insightful, interactive visualizations. This can be a pie chart, KPI scoreboard, column chart, information window, or a variety of other visualization types for data analysis.

Another note-worthy feature of MicroStrategy is the dashboard builder. Aside from creating data visualizations, it also lets you implement interactive features like visualization groups, vertical scrolling, panel stacks, and selectors.

14. AnswerRocket

AnswerRocket also leverages AI to help even regular business folks incorporate data into their decision-making. 

Not only can it convert your prompts and questions into interactive charts, AnswerRocket is also equipped to automate data-related tasks, like business performance reporting, forecasting and forecasting. 

For business users, you can use AnswerRocket's single sign-on and granular user permissions to add more layers of security over your data. The platform can also be deployed in a self-hosted environment, giving you full control over your data warehouse's security and compliance policies.

Power BI Open Source Alternatives

Power BI, while powerful, is a proprietary tool with associated costs. For businesses or individuals who are budget-conscious or prefer open systems, open-source alternatives offer a viable option. These tools often come with the added advantage of community-driven updates and customizability. Here are a few open-source alternatives to Power BI:

  1. Metabase: A user-friendly tool, Metabase allows users to ask questions and learn from data. With an intuitive interface, it can be set up in minutes without the need for a developer.
  2. BIRT (Business Intelligence and Reporting Tools): Originally created by the Eclipse Foundation, BIRT offers a wide range of BI functionalities, including data visualization and reporting.
  3. Redash: Designed to make it easy to visualize, track, and share data from various sources, Redash is a popular choice among open-source enthusiasts.
  4. Superset: Initially developed at Airbnb, Superset provides an intuitive interface for data exploration with a wide range of visualization libraries.
  5. KNIME: Take advantage of low-code, open-source data analytics packed with AI features. KNIME supports over 300 data connectors and is backed by over 100,000 users who can provide you with tips or troubleshooting advice.
Posted on
May 14, 2024
under Blog
May 14, 2024
Written by
Rand Owens
Founding team member at Motive (Formerly KeepTruckin) and passionate about all things Marketing, RevOps, and Go-To-Market. VP of Marketing @ Polymer Search.

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