Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2024: A Challengers’ Comparison 

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2024: A Challengers’ Comparison 

By Marta Teneva

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2024: A Challengers’ Comparison 

By Angel Kirilov

August 27, 2024

Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms has been an essential resource for enterprises making critical BI platform decisions. While the Leaders often get the spotlight, the Challengers bring significant value to the table, often pushing the boundaries of innovation and usability. As an expert deeply involved in the ABI sector, I find it crucial to evaluate these Challengers to understand their potential impact on the market. 

In the 2024 edition of the Gartner Magic Quadrant for ABI, the Challengers are evaluated based on their “Completeness of Vision” and “Ability to Execute.” For those looking to explore beyond the established leaders, here are my insights and comparisons of the key Challengers: Amazon Web Services (AWS), Domo, Alibaba Cloud, and MicroStrategy. 

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Gartner Magic Quadrant for ABI Platforms 2024: A Challengers’ Comparison

Gartner Magic Quadrant - ABI Platforms 2024 - Niche Players, Visionaries, Challengers and Leaders

Amazon Web Services: Scalability and Integration Powerhouse 

“Scalable solutions with deep AWS integration.” 

Amazon Web Services (AWS) positions itself as a Challenger with its ABI offering, Amazon QuickSight. This platform attracts customers primarily from the broader AWS ecosystem due to its seamless integration, scalability, and competitive pricing. 

Strengths:

  • Competitive Pricing: Amazon QuickSight offers flexible pricing models, starting at $3 per user/month, ensuring cost-effective scalability. 
  • Integrated Global Cloud Service: As one of the largest CSPs, AWS provides a robust and scalable D&A stack that integrates smoothly with services like Amazon Redshift and Amazon Athena. 
  • Serverless Architecture: The serverless nature of QuickSight ensures high performance and scalability without the need for extensive infrastructure management. 

Challenges: 

  • Limited Deployment Options: QuickSight is confined to the AWS cloud, lacking on-premises or hybrid deployment capabilities. 
  • Governance Dependencies: Enhanced governance features require additional separately licensed AWS products. 
  • Data Preparation Gaps: QuickSight lacks native data preparation capabilities, relying on additional AWS services for ETL processes. 

My Take: 

Amazon QuickSight is an excellent choice for enterprises already invested in the AWS ecosystem, offering robust integration and scalability. However, its reliance on additional AWS products for advanced features might be a drawback for some. 

A strengths and challenges comparison infographic for Amazon QuickSight, highlighting strengths such as competitive pricing, integrated global cloud service, and serverless architecture, with challenges including limited deployment options, dependence on AWS products, and a lack of native data preparation capabilities.

Read More: Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2024: A Visionaries’ Comparison

Domo: Use-Case Driven and Innovative 

“Empowering all user personas with a versatile platform.” 

Domo stands out as a Challenger with its use-case-driven approach and strong position in marketing analytics. It appeals to a diverse range of stakeholders, from business leaders to technical teams. 

Strengths: 

  • Multipersona Support: Domo’s Magic ETL and App framework cater to both business analysts and data scientists, enabling easy data preparation and low-code app development. 
  • Bring Your Own AI Model: Domo AI Model Management supports third-party models and allows users to build and train their own models within the platform. 
  • New Consumption Model: A credits-based consumption model encourages user experimentation and adoption, removing user number limitations. 

Challenges:

  • Lack of Broader Application Ecosystem: Domo doesn’t leverage an extensive application ecosystem like some competitors, which might be a disadvantage for some buyers. 
  • Narrow Geographic Presence: Limited physical presence outside key regions like the U.S., Japan, the U.K., and Australia can be challenging for clients needing local support. 
  • Limited Augmented Analytics: Despite good data storytelling features, Domo lags behind in AI-powered NLQ capabilities compared to competitors. 

My Take: 

Domo’s innovative approach and multipersona support make it a strong contender for businesses looking for versatility. However, its limited geographic presence and ecosystem could be a consideration for global enterprises. 

A strengths and challenges comparison infographic for Domo, emphasizing strengths like multipersona support, the ability to deploy third-party AI models, and a new consumption model, alongside challenges such as a lack of broader application ecosystem channels, narrow geographic presence, and limited augmented analytics.

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Alibaba Cloud: Dominant in Asia/Pacific 

“Region-specific strengths with growing global ambitions.” 

Alibaba Cloud, primarily competing in the Asia/Pacific market, offers Quick BI, which provides comprehensive data preparation, visual-based data discovery, and interactive dashboards. 

Strengths:

  • Broad Sales Channels: Quick BI leverages Alibaba’s extensive sales channels, offering flexible pricing models to suit various enterprise sizes. 
  • Composable Analytics: Part of the Alibaba LYDaaS portfolio, Quick BI offers modular and reusable D&A capabilities, supporting scenario-based solutions. 
  • Data Literacy Program: Alibaba promotes customer success with a comprehensive data literacy training program, coupled with incentives to offset costs. 

Challenges:

  • Geographical Presence: The majority of Quick BI’s clients are based in China, with limited adoption outside the Alibaba ecosystem. 
  • Limited Investment: Quick BI is not a strategic focus for Alibaba, resulting in fewer resources compared to its other major product lines. 
  • Complex Competition Environment: Competing in the Asia/Pacific region, Alibaba faces strong competition from both global and local vendors. 

My Take: 

Alibaba Cloud’s Quick BI is ideal for enterprises within the Alibaba ecosystem, especially in the Asia/Pacific region. Its strengths in sales channels and composable analytics are significant, but limited global presence and investment could hinder broader adoption.

A strengths and challenges comparison infographic for Alibaba Cloud, featuring strengths like broad sales channels, composable analytics, and a comprehensive data literacy program, contrasted with challenges such as a majority client base in China, limited investment in Quick BI, and complex competition within the Asia/Pacific region.

MicroStrategy: Reporting and Governance Excellence 

“Legacy strength with modern AI integration.” 

MicroStrategy excels in reporting, manageability, and governance, offering rich BI functionality. Recent innovations like MicroStrategy AI and HyperIntelligence highlight its focus on integrating AI capabilities. 

Strengths:

  • Generative AI Experience: MicroStrategy Auto leverages AI to deliver intelligent automation across user roles, enhancing the value of data insights. 
  • Open Platform: MicroStrategy’s robust direct query architecture supports efficient data access, with deployment options across major cloud providers. 
  • Enterprise Reporting and Governance: Strong governance and reporting capabilities, along with scalability and security, make MicroStrategy a solid choice for enterprise buyers. 

Challenges:

  • Market Awareness: Despite being a long-standing player, MicroStrategy sometimes gets overshadowed by newer, more innovative competitors. 
  • Absence of Surrounding Ecosystem: Lack of a surrounding application ecosystem could be a disadvantage for organizations seeking comprehensive solutions. 
  • Augmented Analytics Capabilities: While advancing with AI, MicroStrategy’s automated insights still lag behind competitors. 

My Take: 

MicroStrategy’s strength in governance and reporting, coupled with its new AI capabilities, makes it a robust choice for enterprises. However, its relative lack of ecosystem integration and market presence could be limiting factors.

A strengths and challenges comparison infographic for MicroStrategy, highlighting strengths like generative AI experience, an open platform with robust query architecture, and strong enterprise reporting, while challenges include market overshadowing by competitors, absence of a surrounding application ecosystem, and lagging augmented analytics capabilities.

To provide a clearer comparison, here’s a table summarizing the key features and challenges of each Challenger in the Gartner Magic Quadrant for ABI 2024:

A comparison chart from the Gartner Magic Quadrant for ABI 2024, listing the strengths and challenges of challengers such as Amazon QuickSight, Domo, Alibaba Cloud, and MicroStrategy. Each platform's strengths and challenges are summarized in separate columns.

While the Leaders in the ABI sector often receive the most attention, the Challengers bring a unique set of strengths that can offer substantial benefits to businesses. Having worked closely with various BI platforms, I’ve observed that the Challengers often push the envelope in innovative ways, providing strategic advantages that are worth considering. 

An infographic titled 'Strategic Advantages of the Challengers in the ABI Sector' listing key advantages such as specialized integration and ecosystem benefits, versatility and customization, regional dominance, robust governance and reporting, and competitive pricing and performance.

Specialized Integration and Ecosystem Benefits 

One of the standout features of AWS QuickSight is its deep integration within the AWS ecosystem. This seamless integration allows businesses to leverage a comprehensive suite of AWS services, from data warehousing with Amazon Redshift to data lakes with Amazon S3. This ecosystem synergy ensures that companies can build a highly scalable and efficient data infrastructure. 

Versatility and Customization 

Domo’s approach to supporting multiple personas within an organization—from business analysts to data scientists—makes it a versatile choice for companies looking to cater to diverse user needs. Its ability to integrate third-party AI models and its new credits-based consumption model foster an environment of experimentation and innovation, allowing businesses to tailor their BI capabilities to their specific requirements. 

Regional Dominance and Industry-Specific Solutions 

Alibaba Cloud’s Quick BI excels in the Asia/Pacific market, offering industry-specific analytics with deep domain knowledge in sectors like retail and automotive. Its composable analytics capabilities and extensive sales channels provide a tailored approach that meets the unique needs of regional markets. Additionally, Alibaba’s focus on data literacy programs helps upskill users, ensuring they can fully leverage the platform’s capabilities. 

Robust Governance and Reporting 

MicroStrategy’s reputation for governance and reporting is well-deserved. Its HyperIntelligence feature and recent advancements in generative AI through MicroStrategy AI highlight its commitment to providing detailed and actionable insights. The platform’s interoperability with other cloud services and its strong direct query architecture make it a reliable choice for enterprises focused on robust data governance and comprehensive reporting. 

Competitive Pricing and Performance 

Both AWS QuickSight and Alibaba Cloud Quick BI offer competitive pricing models that can significantly reduce BI costs while ensuring high performance. QuickSight’s serverless architecture minimizes infrastructure management efforts, while Quick BI’s flexible pricing and sales channels make it accessible to a wide range of enterprises. 

Discover More Insights: Tailoring Your BI Strategy: Incorporating ABI Platforms from the Gartner Magic Quadrant 2024 to Achieve Your Business Goals

The 2024 Gartner Magic Quadrant for ABI highlights a mature and competitive market. AWS, Domo, Alibaba Cloud, and MicroStrategy demonstrate a strong commitment to innovation, user accessibility, and AI integration. As the industry evolves, providing real-time, AI-driven insights while maintaining robust data governance will be crucial. 

For executives and business leaders, understanding these advancements and leveraging these tools will be essential for driving business value and maintaining a competitive edge. Each platform has its unique strengths and challenges, and the choice will depend on specific organizational needs, existing technology ecosystems, and strategic goals. 

At B EYE, we provide you with personalized insights and strategies to maximize the benefits of your ABI investments. Whether you’re looking to implement a new BI platform or optimize your current setup, our experts offer tailored solutions to meet your specific needs. 

Ready to take your business intelligence to the next level? Contact us today at +1 888 564 1235 (or +359 2 493 0393 for Europe) to schedule a free consultation and discover how we can help you harness the power of data analytics and business intelligence to drive your business forward. 

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