Cloudera vs Yellowfin BI

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Our analysts compared Cloudera vs Yellowfin BI based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Cloudera Software Tool
Yellowfin BI Software Tool

Product Basics

Cloudera is a multi-environment analytics platform powered by integrated open source technologies that help users glean actionable business insights from their data, wherever it lives. With an enterprise data cloud, it puts data management at analysts’ fingertips, with the scalability and elasticity to manage any workload. It offers users transparency into the whole data lifecycle and the flexibility of customization through its open architecture.

It is available on an annual subscription basis with three offerings: CDP Data Center, Enterprise Data Hub and HDP Enterprise Plus. Each edition offers different components and pricing varies based on computing power, storage space and number of nodes.

The company merged with Hortonworks in 2019 to provide a comprehensive, end-to-end hybrid and multi-cloud offering.
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Yellowfin BI is an integrated platform that helps users transform their business through data by combining automated data analysis, interactive dashboards and storytelling. It also enables intuitive filtering of large amounts of data in real time. It facilitates organization-wide understanding through data sharing and collaborative action. It has a customizable architecture and has the ability to add an organization’s branding, such as its logo.

It offers either enterprise or embedded analytics and is deployable in the cloud or on-premise.
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$833/User, Annually
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$50/User, Monthly, Freemium
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Tailored to your specific needs
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Product Assistance

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Knowledge Base
24/7 Live Support
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Product Insights

  • Provides Data-Driven Insights: Make data-informed business decisions that boost efficiency, decrease risk and provide new insights. Features data discovery, analysis and interpretation tools necessary for businesses to make the right choices with confidence.
  • Industrialized AI: Takes an “AI factory” approach to BI and makes enterprise machine learning and artificial intelligence processes automated, repeatable and predictable, speeding up the time needed to go from numbers to outcomes.
  • Eliminates Silos: Move away from costly and inefficient data silos with a unified platform that performs a range of data analysis tasks simultaneously on the same data, right at the source. Speed up the data discovery process and improve productivity for the organization as a whole.
  • Capitalize on the Wealth of IoT: Contribute to overall business transparency by processing and integrating data from a huge reservoir of devices connected to the Internet of Things. Connects the information from these devices to its AI, which can monitor performance in real time, identify areas for improvement, reduce machine failure and improve overall ROI.
  • Secure by Design: Set up encryption across environments, ensuring consistent protocols and granular security policies across the platform. Built-in enterprise-grade auditing and lineage tracking capabilities provide comprehensive data governance to organizations.
  • Maximizes Interoperability: Ensures compatibility with all vendors through its 100% open-source architecture, and unlocks additional possibilities for enterprises. 
  • Deployable Anywhere: Safeguard and future-proof the company’s investment in BI. Stay immune to the cloud infrastructure battle with a single data management platform portable and flexible enough to move to and from the cloud as necessary. 
  • Scalability: Manage cloud costs and scale resources automatically as workloads increase, or scale down as demand falls, utilizing and paying for exactly how much is necessary.
  • Protects Your Business: Offers advanced behavior analytics, quick anomaly detection and visibility into every dimension of the enterprise. Protect data at all times with the assistance of both time-series and real-time threat analytics.
  • Free Trial: Sign up for a free 60-day trial of Cloudera Enterprise and many of its modules from the vendor’s website.
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  • End-to-End BI Stack: Its complete BI suite provides solutions to multiple data analytics problems. Businesses are equipped with critical tools such as automated insights, action-based dashboards and collaborative BI tools. Its robust enterprise governance tool allows businesses to integrate their platform with existing security features. 
  • Convenient Adoption: Its single, integrated platform is user-friendly and easy to adopt. It is deployable either on the cloud or on-premise. 
  • Engaging Data Stories: Users can share their data insights with dynamic, compelling reports and storyboards. 
  • Data Transparency: Yellowfin BI can present data in multiple ways and assimilate into business operations. It's built with various dashboards, including analytical, operational and strategic setups, that link interactive data, allowing users to understand information in real time and allow for the monitoring of crucial metrics. It also ensures data accuracy and can create timelines. 
  • Automated Insights: It combines machine learning with human insights to make use of the company’s data effectively. Its algorithms automatically scan through the company’s data and provide strategically relevant results. 
  • Explore Data With Ease: Its smart visualizations enable easy data discovery and exploration. It has over 50 chart types built-in, which helps users understand their businesses better. It also helps in spotting patterns, trends and outliers. 
  • Open Source Freedom: As a 100% open platform, it has no proprietary lock-in, which allows analysts to use their existing skills and knowledge to develop their own capabilities within the platform. It is open-source in nature, which makes the Yellowfin Marketplace, a digital catalog of many free or low-cost plug-ins, extend the suite’s capabilities even further. 
  • Scalability: It offers a scalable architecture that can adapt according to the growth of a business. Users can scale their data usage, without compromising on performance aspects. 
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  • Data Science Workbench: Through a unified workflow, collaboratively experiment with data, share research between teams and get straight to production without having to recode. Create and deploy custom machine learning models and reproduce them confidently and consistently.
  • Real-Time Streaming Analytics: With edge-to-enterprise governance, Cloudera DataFlow continuously ingests, prioritizes and analyzes data for actionable insights in real-time. Develop workflows to move data from on-premises to the cloud or vice-versa, and monitor edge applications and streaming sources.
  • Machine Learning: Enable enterprise data science in the cloud with self-service access to governed data. Deploys machine learning workspaces with adjustable auto-suspending resource consumption guardrails that can provide end-to-end machine learning tools in one cohesive environment.
  • Data Warehouse: Merges data from unstructured, structured and edge sources. The auto-scaling data warehouse returns queries almost instantly and has an optimized infrastructure that moves workloads across platforms to prepare vast amounts of data for analysis.
  • Operational Database: The operational database promises both high concurrency and low latency, processing large loads of data simultaneously without delay. It can extract real-time insights and enable scalable data-driven applications. 
  • Open-Source Platform: Access the Apache-based source code for the program and make adjustments, customizations and updates as desired. 
  • Data Security and Governance: Reduce risk by setting data security and governance policies. The Cloudera Shared Data Experience (SDX) then automatically enforces these protocols across the entire platform, ensuring sensitive information consistently remains secure without disruption to business processes.
  • Hybrid Deployment: Leverage the deployment flexibility and accessibility to work on data wherever it lives. Read and write directly to cloud or on-premises storage environments. With a hybrid cloud-based architecture, choose between a PaaS offering or opt for more control via IaaS, private cloud, multi-cloud or on-premises deployment.
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  • Automated Data Monitoring: Yellowfin Signals provides machine-based automated monitoring of live data. It highlights anomalies and data outliers, and its proactive warning systems keep business owners informed of changes as they happen and deliver insights faster.  
  • Data Storytelling: Yellowfin Stories and Yellowfin Present help users create data stories and presentations that add context to numbers. These presentations enable clear and concise understanding throughout the organization with accessible insights sourced from one centralized, automatically refreshed database. Data stories can be authored in blog format and supplemented with external media and attachments. 
  • Connectivity to Various Data Sources: It facilitates connection with numerous data sources, including Web APIs, spreadsheets and relational databases as either on-premise or hosted in the cloud. Data is then transformed and merged so that it is accessible by any analytics platform without proprietary lockouts. 
  • Data Analysis: It helps businesses accelerate the analysis of large chunks of data using databases, spreadsheets or online applications. 
  • Data Discovery: The Insight Wizard feature is a unique inclusion that helps users cut down on discovery times with the help of assisted insights. It comes packed with features that provide automated answers with the use of algorithms. 
  • Dashboards: Its customizable, interactive dashboards enable users to keep track of key performance indicators in real time. They drive action and let users make data-driven decisions for their companies. They can be customized with the company’s branding and their open-source code lets users create their own application experience. 
  • Embeddable Workflows: Out-of-the-box, Yellowfin action buttons allow users to integrate workflows to third-party applications, or develop their own custom workflows that allow users to take direct action from their dashboards. 
  • Mobile App: It comes with a mobile application that helps users track changes to their data on-the-go. The app is curated for a mobile-specific experience, which allows users to track changes and respond to them from internet-enabled devices. 
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Product Ranking

#72

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#346

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 216 reviews
Great User Sentiment 182 reviews
82%
of users recommend this product

Cloudera has a 'great' User Satisfaction Rating of 82% when considering 216 user reviews from 4 recognized software review sites.

85%
of users recommend this product

Yellowfin BI has a 'great' User Satisfaction Rating of 85% when considering 182 user reviews from 6 recognized software review sites.

n/a
4.2 (14)
4.0 (26)
4.4 (90)
n/a
4.59 (17)
4.2 (5)
4.6 (16)
4.3 (144)
4.1 (10)
3.4 (41)
3.5 (35)

Synopsis of User Ratings and Reviews

Scalability: Cloudera can handle massive datasets and complex queries, making it suitable for large-scale data analysis and reporting.
Security: Cloudera offers robust security features, including data encryption and access control, ensuring sensitive data is protected.
Performance: Cloudera's optimized architecture and distributed processing capabilities deliver fast query execution and efficient data processing.
Integration: Cloudera integrates seamlessly with various data sources and tools, enabling users to connect and analyze data from different systems.
Community Support: Cloudera has a large and active community, providing access to resources, support, and best practices.
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Intuitive Interface: Users praise Yellowfin for its user-friendly design, making it easy to navigate and build reports without extensive training.
Powerful Data Visualization: Yellowfin offers a wide array of charting and visualization options, allowing users to present data in a clear and compelling way.
Strong Customer Support: Users appreciate the responsive and helpful customer support provided by Yellowfin, ensuring they can get assistance when needed.
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Steep Learning Curve: New users often find Cloudera's interface and complex architecture challenging to navigate, requiring significant time and effort to master. This can be especially problematic for teams with limited technical expertise.
Costly Implementation: Cloudera's pricing model can be expensive, particularly for large deployments. The cost of hardware, software licenses, and ongoing support can be a significant barrier for some organizations.
Limited Scalability: While Cloudera offers scalability, some users have reported challenges scaling their deployments to meet rapidly growing data volumes. This can lead to performance bottlenecks and slow query execution times.
Complex Management: Managing a Cloudera cluster can be complex, requiring specialized skills and knowledge. This can be a burden for organizations with limited IT resources.
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Difficult to Learn: Some users find the platform's interface and features difficult to learn and navigate, especially compared to other BI tools.
Limited Customer Support: Users have reported experiencing slow or unhelpful customer support, making it challenging to resolve issues quickly.
Data Visualization Limitations: While Yellowfin offers data visualization capabilities, some users find them less intuitive and flexible compared to other BI tools, limiting their ability to create compelling reports and dashboards.
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Is Cloudera the answer to your data management woes, or is it just a bunch of hot air? User reviews from the past year paint a mixed picture of Cloudera. While some users praise its flexibility and ability to handle large datasets, others find it cumbersome and expensive. Cloudera's hybrid cloud approach, allowing users to deploy on-premises or in the cloud, is a major selling point for many. However, some users find the platform's complexity a barrier to entry, especially for those without extensive experience in data management. Cloudera's integration with other tools, such as Apache Hadoop, is a key differentiator, but some users report issues with compatibility and performance. Cloudera is best suited for large enterprises with complex data needs and a dedicated team of data engineers. Its robust features and scalability make it a powerful tool for organizations that require a comprehensive data management solution. However, smaller businesses or those with limited technical resources may find Cloudera's complexity and cost prohibitive.

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Is Yellowfin BI the "gold standard" for your business intelligence needs? Recent user reviews suggest that Yellowfin BI is a capable business intelligence platform that shines in its user-friendly interface and robust feature set, making it a good fit for businesses of all sizes. Users praise its intuitive design, which allows even non-technical users to easily navigate and utilize the software. The platform's comprehensive suite of features, including data visualization, reporting, and automated insights, empowers businesses to gain a holistic understanding of their data. However, users also point out some drawbacks. A common gripe is the cost, which can be a barrier for smaller businesses or those with limited budgets. Some users find the software's learning curve steeper than expected, particularly when it comes to advanced features. Despite these weaknesses, Yellowfin BI differentiates itself through its focus on data storytelling and its ability to seamlessly integrate with a wide range of data sources. The platform's storytelling feature allows users to present data insights in a compelling and engaging way, facilitating better decision-making. Its broad data source compatibility ensures that businesses can connect and analyze data from various sources, providing a unified view of their operations. Overall, Yellowfin BI is best suited for businesses that prioritize user-friendliness and a comprehensive feature set in their business intelligence solution. Its intuitive interface and robust capabilities make it a valuable tool for organizations looking to leverage data for informed decision-making. However, businesses with budget constraints or those seeking a platform with a shallower learning curve may need to consider alternative options.

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