Sisense Alternatives & Competitors

Selecting the ideal business intelligence (BI) platform can be overwhelming, especially as the number of options seems to increase daily . If you’re diving into the world of data analytics, you’ve likely heard of Sisense, a popular tool to turn raw data into actionable insights and simplify data analysis, especially for non-technical users. But, what if Sisense isn’t meeting all your needs? Whether you’re looking for more customization, scalability, or more budget-friendly solutions, knowing your alternatives is key to finding the right fit for your business.

In this comprehensive guide, you’ll learn why it may be worthwhile to consider alternatives to Sisense. We’ll explore essential features to prioritize in a BI platform and review the top ten alternatives to Sisense for 2025. This information will help you narrow down your list of options and make an informed decision about the best BI platform for your organizational goals.

What is Sisense?

Sisene is a business intelligence (BI) and data analytics platform that allows users to connect, visualize, and analyze data from multiple disparate sources. Sisense is known for its intuitive interface and ability to make complex data accessible to even non-technical users. Part of the platform’s powerful capabilities lies in its ability to handle massive volumes of data quickly and efficiently. Sisense uses in-memory processing to provide actionable insights in real time, delivering dashboards and reports for data-driven decision-making.

Sisense’s speed and efficiency make it a strong choice for businesses that want to stay agile in fast-paced markets. The BI platform supports a wide range of integrations, which allow it to easily pull data from different systems and consolidate it into a single source of truth. With Sisense’s visualization tools, you can transform raw data into actionable insights. And you can easily create customized dashboards tailored for your specific business needs. Whether you’re monitoring performance or exploring trends, Sisense is a popular option for driving strategic decision-making.

Why consider an alternative to Sisense?

As with any platform, Sisense may not be perfect for every organization. In particular, businesses that need to perform complex data analytics may find it lacks the depth of features they need. Likewise, those looking for greater customization, enhanced efficiency, or facing cost constraints may want to consider alternatives.

Here are some other reasons to consider an alternative to Sisense:

• Flexibility in data analysis: Sisense has a drag-and-drop interface that is highly accessible. However, it doesn’t always offer the flexibility needed for detailed data manipulation like building predictive models. Some other BI platforms (more on that below) offer more sophisticated capabilities, like the ability to create custom formulas or data visualizations, which go beyond what Sisense has to offer.
• Customization and interactivity: Sisense’s dashboards are user-friendly but not as customizable as some businesses may require. For example, its dashboards lack interactive elements and drill-down capabilities. Other BI alternatives have more extensive customization options.
• Enhanced efficiency: Sisense’s user-friendly nature is both an advantage and disadvantage. It works well for businesses that are new to adopting BI and have a mix of technical and non-technical users. However, Sisense may not scale as data needs become more complex. There are other BI platforms that provide ease-of-use while still delivering advanced capabilities.
• Cost savings: Some organizations may require more cost-effective solutions with flexible pricing models. Sisense’s pricing model can be expensive, especially for enterprises that need advanced features and large-scale data processing. Other platforms offer more budget-friendly pricing.
• Advanced real-time data capabilities: While Sisense provides real-time data integration, it may not be as advanced as other BI platforms. Other alternatives excel at providing immediate insights and live updates. If you need up-to-the-minute information for quick decision-making, it may be worthwhile to look outside Sisense.
• Support and community resources: Sisense’s user support and training resources might not be as comprehensive as those provided by other platforms. When looking at your alternatives, consider whether your business needs 24/7 customer support, dedicated training sessions, and active user communities. If so, prioritize platforms that offer a more extensive ecosystem for learning and collaboration.

What to look for in a Sisense alternative

When considering an alternative to Sisense, there are several key features to look for. Below, we detail each feature across three main categories: security and compliance, scalability, and customer support.

Enterprise-grade security and compliance:

• Data encryption: Security is key in data analytics. Prioritize tools that offer encryption methods to protect sensitive data, both in transit and at rest. This is crucial for safeguarding data from unauthorized access and meeting compliance standards such as GDPR and HIPAA.
• Compliance with industry standards: Ensure the platform you select adheres to industry-specific regulations, especially in sectors like healthcare and finance. Add tools that are known for their strong compliance features to your short list of alternatives.
• Access controls: It’s essential to maintain role-based access controls so that only authorized individuals can view and access sensitive data. Look for platforms that offer granular control over user permissions to uphold data integrity and security.
• Advanced threat detection: When evaluating data analytics platforms, look for those that include advanced threat detection features. This includes anomaly detection and real-time alerts for suspicious activities. These capabilities can provide an additional layer of security by automatically identifying potential breaches or data misuse.
• Response capabilities: Platforms that offer integrated response mechanisms, such as automatic data isolation or access suspension, can mitigate risks quickly and effectively.

Scalability for growing business needs:

• Scalable infrastructure: As your business grows, your data needs will also expand. Your BI should be able to handle this growth without sacrificing performance. Consider alternatives that offer scalable cloud architectures to accommodate large data sets and provide high performance.
• Flexible deployment options: You should have the flexibility to choose deployment models that best suit your needs: cloud, on-premises, or hybrid. This flexibility allows for scalability and growth, ensuring the platform you choose can adapt as your business evolves.
• Automated scaling and resource management: Look for platforms that include automated scaling features. These features allow you to adjust resources dynamically based on workload demands. Platforms that offer this capability can optimize performance and cost-efficiency.

Dedicated customer support and training:

• 24/7 support: Having access to support around the clock is critical for businesses that rely on data analytics platforms for real-time decision-making. Ensure the tool you choose offers around-the-clock customer support to address any issues as quickly as possible.
• Training resources: To drive user adoption, make sure the platform offers high-quality training materials such as tutorials, webinars, and online courses. Comprehensive resources will help users maximize the tool’s potential.
• User community: An active user community can be a valuable resource for troubleshooting, sharing best practices, and learning new techniques. Look for related forums, user groups, and online communities for additional support and insights.

The 10 best alternatives to Sisense in 2025

Below, you’ll find the top ten alternatives to Sisense, their strengths, and unique features. Each of these competitors offers the ability to maximize your data-driven decision-making capabilities.

1: Domo

Domo is a cloud-based business management platform that offers real-time data integration and collaboration tools. It is known for being user-friendly and intuitive. Business users can easily access and analyze data without requiring technical expertise.

Key features

• Real-time data integration: Connects to various disparate data sources, delivering up-to-date insights as they happen.
• Drag-and-drop interface: Allows users to create custom dashboards and visualizations without having to code.
• Custom applications: Build and deploy apps tailored to specific business needs. Quickly adapt apps to business requirements.
• AI-powered insights: Uses artificial intelligence to deliver predictive analytics so you can make data-driven decisions quickly.
• Collaboration tools: Collaborate on data-driven projects directly within the platform. Users can share insights, create reports, and monitor performance together in real time.
• Embedded analytics: Embed analytics directly into your existing applications and workflows. This feature allows you to integrate BI capabilities seamlessly into your operational processes.
• Mobile access: Access data and insights on mobile devices so you can stay connected to your data from anywhere, at any time.

2: Tableau

Tableau is a BI tool known for its data visualization capabilities. It allows users to create detailed visualizations and dashboards from multiple data sources in real time.

Key Features

• Drag-and-drop interface: Enables users to create complex visualizations without having to code.
• Real-time data connection: Connects to various data sources for live data updates.
• Custom dashboards: Build interactive dashboards with advanced visualizations and filters, offering a high level of customization.
• Advanced analytics: Includes features such as predictive modeling, trend analysis, and statistical functions. It is suitable for deeper data insights.
• Extensive community and learning resources: Offers a wide range of forums, tutorials, and training materials. Tableau’s community also provides best practices and inspiration from other user dashboards and visualizations.

3: Power BI

Microsoft Power BI is a suite of business analytics tools that integrates with Microsoft products. It enables users to analyze data, share insights, and embed analytics.

Key Features

• Integration with Microsoft products: Integrates with Excel, Azure, and SharePoint. Allows for comprehensive data analysis and embedding analytics into applications.
• Real-time data updates: Provides live data updates from various sources so users can make decisions based on the latest information.
• AI insights: Uses AI to deliver practical insights, predictive analytics, and recommendations to improve the decision-making process.
• Custom dashboards and reports: Create custom reports and dashboards tailored to specific business needs, integrating data from multiple sources.
• Mobile app: Access data and insights on mobile devices from anywhere, at any time.

4: Qlik

Qlik is a data integration, analytics, and AI platform that allows users to explore and manipulate data from multiple sources with ease.

Key Features

• Associative model: Enables users to explore data, uncovering hidden relationships and insights.
• In-memory processing: Provides fast data processing capabilities for large data sets. Suitable for enterprises with extensive data requirements.
• Cloud and on-premises options: Offers deployment flexibility with cloud, on-premises, and hybrid options for greater scalability.
• Self-service data prep: Allows users to transform and prepare data without coding.
  Custom analytics applications: Build custom apps for specific business needs. Share insights across the organization easily.

5: Yellowfin

Yellowfin is a BI platform that emphasizes collaboration and ease of use. It offers features suitable for both technical and non-technical users.

Key Features

• Auto-narratives: AI-driven insights automatically explain data, providing context to visualizations and making complex data digestible at a glance.
• Collaborative analytics: Real-time sharing of insights and collaboration on dashboards and reports so teams can work together effectively.
• White-labeling options: Customizable branding for enterprise applications.
• Mobile access: Access insights from anywhere through the mobile app.
• Advanced dashboards: Create interactive dashboards with a drag-and-drop interface, allowing detailed analysis and easy user interaction with data.

6: Looker

Looker is a BI platform focused on SQL-based exploration. Data teams can create, share, and explore insights quickly. It is particularly effective for data modeling and SQL queries.

Key Features

• SQL-based exploration: Allows users to query data directly using SQL. Provides flexibility for complex data analysis, even for users without technical knowledge.
• Customizable data models: Build data models without writing code. Non-technical users can easily interact with the data.
  Real-time insights: Provides up-to-date data analysis and visualization.
• Embedded analytics: Integrate data insights directly into applications, enhancing the user experience and making insights accessible across the enterprise.
• User-Friendly interface: Intuitive design simplifies data interaction, even for those without a technical background.

7: Databox

Databox provides real-time performance tracking and KPI monitoring. It is designed to help businesses monitor metrics across various platforms.

Key Features

• Real-time performance tracking: Monitor key metrics from different data sources in real time so you can react quickly to changes and trends.
• Custom dashboards: Create custom dashboards tailored to specific business needs for in-depth analysis and visualization.
• Integration with popular tools: Connects with tools like Google Analytics and Facebook Ads for a unified view of business performance.
• Mobile app: Access data and insights on mobile devices so you can monitor performance and make decisions on the go.
• Data alerts: Receive alerts when key metrics exceed or fall below set thresholds.

8: SAP Data Intelligence Cloud

SAP Data Intelligence Cloud is a data management solution that enables organizations to connect, combine, and analyze data across diverse environments. It is designed for large enterprises that need data coordination and integration capabilities.

Key Features

• Data integration: Connects to various data sources (including SAP and non-SAP systems). It allows for comprehensive data management across different environments.
• Data orchestration: Automates data workflows and processes. Streamlines the management of complex data pipelines.
• AI and machine learning integration: Utilizes advanced analytics and machine learning for deeper insights and predictive analysis.
• Real-time data access: Provides immediate access to data insights as they happen.
• Compliance and security: Meets strict regulatory standards for data security and compliance (essential for businesses in regulated industries).

9: Mode

Mode is a collaborative data analytics platform that allows teams to analyze data, create reports, and share insights easily. It is designed for businesses that need to work closely together on data-driven projects.

Key Features

• SQL editor: Allows users to write and execute SQL queries directly within the platform for detailed and precise data analysis.
• Integrated notebooks: Build and share data models and visualizations in one place.
• Real-time collaboration: Share insights and collaborate with team members through real-time commenting and feedback.
• Custom reports and dashboards: Create custom reports and dashboards tailored to specific business needs.
• Data alerts: Set alerts for specific metrics so you can stay informed of changes and enable proactive responses to insights.

10: ThoughtSpot

ThoughtSpot is an AI-powered BI and data analytics platform. Its user-friendly interface and advanced AI capabilities make it useful for non-technical users and data professionals.

Key Features

• Search-driven analytics: Allows users to query data using natural language search, making data exploration accessible to all team members.
• AI-powered insights: Automatically uncovers trends, anomalies, and insights using advanced AI algorithms.
• Interactive dashboards: Create, customize, and share visually engaging dashboards for tracking key metrics and performance indicators.
• Live data connectivity: Connect directly to various data sources for real-time insights and analysis.
• Collaboration tools: Facilitate team collaboration with shared reports, real-time updates, and contextual discussions.
  Mobile access: Access data and insights on the go with the mobile-friendly platform.
• Embedded analytics: Embed ThoughtSpot’s analytics into existing applications and workflows for greater productivity.

Choosing the best fit

When exploring alternatives to Sisense, weigh factors that matter most to your business. Some questions to consider are: How user-friendly is the platform? Can it be customized to suit your needs, and how straightforward is the process? Does it provide real-time data updates? How well does it work with other tools and platforms, including ones you already use? Each alternative BI platform listed offers unique features tailored to meet different business needs, from complex data analytics to simple KPI monitoring. By understanding these differences and evaluating your business’s specific requirements, you can choose a Sisense alternative that best fits your goals for data-driven success.

If you’re looking for an alternative that provides exceptional data integration, customizable dashboards, and real-time analytics, consider Domo. Domo is specifically designed to empower all business users to uncover actionable insights and make smarter decisions. See how Domo can help you take full control of your data and achieve your business goals. Explore the Domo platform today!