The 8 Best Amazon Quicksight embedded Alternatives and Competitors for 2024

Using Amazon Quicksight to create interactive dashboards and reports?

Awesome! But if you have landed on this blog post, chances are that you are searching for its alternatives. No doubt the product is great as it helps you generate reports and charts for better tracking. 

However, drawbacks such as limited customization options or the lack of advanced capabilities have prompted users like you to search for Amazon Quicksight alternatives.

To bring your search to an end, we’ve listed the best Amazon Quicksight alternatives and competitors in this blog post. You can find information such as their pros, cons and even pricing details to help you learn more about each alternative in detail.

Without further delay, let’s explore the competitors below.

Top 8 Amazon Quicksight embedded Alternatives You Must Check Out in 2023

Before you dive right into the list, a quick heads up. The pricing plans may vary based on the region and additional features you may require. Therefore, it is recommended that you check the vendor website for the most up-to-date pricing information.

1. DataBrain

DataBrain is a self-service  business intelligence tool that provides advanced embedded analytics and visualization capabilities. It is a single SDK designed to help businesses make data-driven decisions by providing insights into their data. 

Key features of DataBrain:

As an embedded analytics platform, Databrain seamlessly integrates into existing business applications and workflows, allowing users to access insights without leaving their familiar environments. This means that employees can leverage Databrain's capabilities to make data-driven decisions in real-time, improving efficiency and accuracy across the organization.

A. 10X faster deployment: Empower your team to ship faster and stop worrying about maintenance by providing them with the ability to control metric creation and management, data access, and dashboard customization to their liking.

B. Role-based access control: Row-Level Security (RLS) is a feature that allows you to control access to individual rows in a database table. Using RLS, you can specify filters that limit the rows that a user can access based on their role or other attributes

By combining RBAC and RLS, you can define rules that govern which users or roles have access to specific metrics based on their permissions and data filters. This allows you to establish fine-grained control over your data

C. Data exploration & drill-downs: With the data exploration and drill-down feature, users can delve into the data at various levels of detail, enabling them to analyze and explore it thoroughly. This feature provides an opportunity to gain profound insights into business performance, detect trends and outliers, and make data-driven decisions.

D. Custom reports: Databrain allows users to create custom reports that provide insights into their data. Users can create reports that include charts, tables, and graphs that help to visualize their data. Reports can be customized to meet specific business needs and can be shared with other users in the organization.

E. Data source connections: One of the key features of DataBrain is its ability to seamlessly connect with any data source, whether it's an internal database, a cloud application, or a third-party API. With just a few clicks, users can integrate their favorite data sources into DataBrain, enabling them to access and analyze their data in real-time.

F. Data blending: Databrain also allows users to blend data from multiple sources, making it easier to analyze and visualize data from different systems. Users can connect to various data sources, including databases, spreadsheets, and cloud services, and blend the data to create a single view of their data.

G. Collaboration: Additionally they provide collaboration capabilities that allow users to work together on data analysis and reporting. Users can share reports and dashboards with other users in the organization, and collaborate on data analysis projects. This feature is useful for businesses that have multiple teams working on data analysis projects.

Pros:  

• Easy data integration can save a lot of time and effort that would otherwise be spent manually consolidating data
• Automated processes help businesses save time and reduce errors, while allowing their employees to focus on higher-level tasks
• Powerful analytics such as predictive modeling and machine learning, help businesses gain valuable insights from their data, which can inform important business decisions.

Cons:

• Steep learning curve

Pricing: DataBrain employs a feature-based pricing strategy that eliminates the need for pricing to be determined by the number of end users. This approach mitigates the risk of uncertain pricing as your business expands and incorporates more users. Contact the vendor for more pricing information and to learn more about the advantages of this flexible scheme.

Explore DataBrain: Start Building Customer Facing Dashboard

2. Sisense

Sisense is a business intelligence tool that provides advanced analytics and visualization capabilities. It allows users to connect to various data sources and create custom reports and dashboards. 

Key Features of Sisense:

• Scalable platform
• Flexibility and cloud agnostic deployment and integration capabilities
• Robust data modeling tools

Pros: 

• Sisense has advanced analytics capabilities and real-time data processing.

Cons: 

• Some users have reported issues with data connectivity and integrations.
• The pricing can be expensive for larger organizations.
• Some users have reported issues with performance and slow loading times.

Pricing: Sisense offers a paid plan only, which starts at $490 per month for up to 10 users. The pricing scales up based on the number of users and the features required.

3. Tableau

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Tableau is a data visualization tool that provides advanced analytics capabilities. It allows users to connect to various data sources and create custom reports and dashboards. 

Key Features of Tableau:

• AI driven predictions and analysis
• Streamlined governance
• Create interactive and customizable dashboards

Pros: 

• Tableau has advanced analytics capabilities and an intuitive interface.

Cons:

• The learning curve can be steep for new users.
• The pricing can be expensive for larger organizations.
• Some users have reported issues with performance and slow loading times.

Pricing: Tableau offers a free plan for individuals and a paid plan for businesses. The paid plan starts at $70 per user per month and includes more advanced features such as data blending and collaboration.

4. Looker

Looker is a cloud-based business intelligence tool that allows users to create custom reports and dashboards. It provides a drag-and-drop interface that makes it easy for users to create custom reports.

Key Features of Looker:

• Modern BI & analytics
• Data-driven workflows
• Integrated insights

Pros: 

• Looker has an easy-to-use interface and provides advanced analytics capabilities. 

Cons: 

• The pricing can be expensive for smaller businesses or individuals.
• Some users have reported issues with data modeling and integration.
• The interface can be overwhelming for new users.

Pricing: Looker offers a paid plan only, which starts at $3,000 per month for up to 10 users. The pricing scales up based on the number of users and the features required.

5. Preset

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Preset is an open-source data visualization tool that provides advanced analytics and visualization capabilities. It allows users to connect to various data sources and create custom reports and dashboards.

Key Features of Preset:

• Control user roles and access
• World-class SQL editor
• One-click to deploy multiple workspaces

Pros:

• Preset is an open-source tool and provides advanced analytics capabilities. 

Cons:

• The tool requires users to invest in their own infrastructure.
• Preset may not have as many features as some other competitors.
• Support may be limited due to the open-source nature of the tool.

Pricing: Preset is an open-source tool, so there are no pricing plans associated with it. However, users will need to invest in their own infrastructure to deploy and use the tool.

6. Qlik Sense

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Qlik Sense is a data visualization tool that provides advanced analytics capabilities. It allows users to connect to various data sources and create custom reports and dashboards. 

Key Features of Qlik Sense:

• Self-Service Visualization
• Interactive Dashboards
• Search & Conversational Analytics

Pros: 

• Qlik Sense has advanced analytics capabilities and an intuitive interface. 

Cons: 

• Some users have reported issues with data connectivity and integrations.
• The interface can be overwhelming for new users.
• The pricing can be expensive for larger organizations.

Pricing: Qlik Sense offers a free plan and a paid plan. The paid plan starts at $30 per user per month and includes more advanced features such as data blending and predictive analytics.

7. Reveal

Reveal is an embedded cloud-based business intelligence tool that allows users to create interactive dashboards, reports, and charts. It provides a drag-and-drop interface that makes it easy for users to create custom reports. 

Key Features of Reveal:

• Blend data from multiple sources
• Fully self serviceable
• Create customizable interactive dashboards

Pros: 

• Reveal has an easy-to-use interface and provides advanced analytics capabilities. 

Cons: 

• The interface can be overwhelming for new users.
• The visualization options are not as extensive as some other competitors.
• Some users have reported issues with performance and slow loading times.

Pricing: Reveal offers a free plan and a paid plan. The paid plan starts at $25 per user per month and includes more advanced features such as predictive analytics and data blending.

8. Bold BI

Bold BI is a cloud-based business intelligence tool that provides advanced embedded analytics and visualization capabilities. It allows users to connect to various data sources and create custom reports and dashboards.

Key Features of Bold BI:

• Single sign-on
• Multi-development language controls
• Authentication protocols

Pros: 

• Bold BI has advanced analytics capabilities and real-time data processing. 

Cons: 

• Some users have reported issues with data connectivity and integrations.
• The pricing can be a bit steep for smaller businesses or individuals.
• The support documentation can be difficult to navigate.

Pricing: Bold BI offers a free plan and a paid plan. The paid plan starts at $1995 per month and includes more advanced features such as data modeling and predictive analytics.

Finding the Best Amazon Quicksight Embedded Alternative

Finding the best BI tool that provides advanced analytics and visualization capabilities can be a critical decision for organizations looking to gain insights and make data-driven decisions. Here are some key factors to consider:

1. Features and Capabilities 

Look for a BI tool that offers advanced analytics and visualization capabilities such as predictive analytics, machine learning, and interactive visualizations. The tool should also provide a wide range of data connectors and integrations, allowing you to extract data from multiple sources and combine them for comprehensive analysis.

2. Ease of Setup

The BI tool should have a user-friendly interface that allows non-technical users to easily create and customize dashboards and reports. The tool should also provide a robust set of features for data preparation and transformation, allowing you to work with clean and accurate data and enable faster time to market.

3. Scalability

Looking for a BI tool that can scale with your organization's growth and evolving needs is crucial. The tool should be able to handle large data volumes and provide high performance, even when working with complex data models.

4. Pricing

Consider the pricing model of the BI tool, and ensure that it aligns with your organization's budget and requirements. Some tools may offer flexible pricing plans that can scale with your usage, while others may have fixed pricing models that may not be suitable for all organizations.

5. Support and Customer Service

A BI tool that provides robust support and customer service is equally important for your organization. The tool should offer comprehensive documentation, tutorials, and training resources to help users get started quickly. The vendor should also provide responsive support and a community forum to help users troubleshoot issues and get answers to their questions.

Summing Up

There are several Amazon Quicksight embedded alternatives and competitors available in the market that provide advanced analytics and visualization capabilities. Each tool has its own set of features, pros, and cons, and it is important to evaluate the requirements and compare the features of different tools to make an informed decision.

Based on the key features and advantages of the competitors mentioned earlier, Databrain stands out as an ideal choice for organizations that require a user-friendly and feature-rich analytics and visualization tool. 

Databrain's intuitive interface, extensive visualization options, and advanced analytics capabilities make it an attractive option for businesses of all sizes. The ease of setup is also an attractive feature that lacks in most of the other alternatives. Moreover, Databrain's flexible pricing plans and superior customer support make it a viable option for businesses with varying needs and budgets.

Ultimately, the decision on which tool to choose will depend on the specific needs and requirements of the organization. By evaluating the features, pricing, and drawbacks of each competitor, businesses can make an informed decision on the best tool for their analytics and visualization needs.