Cloudera vs Oracle Business Intelligence Cloud Services

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Our analysts compared Cloudera vs Oracle Business Intelligence Cloud Services 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
Oracle Business Intelligence Cloud Services 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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Oracle Business Intelligence Cloud Services (BICS) helps organizations transform raw data into actionable insights through a suite of cloud-based tools. It allows users to gather, store, analyze, and visualize data to make data-driven decisions. BICS is ideal for businesses of all sizes seeking comprehensive BI solutions without the need for extensive on-premises infrastructure. Key benefits include centralized data access, self-service analytics, and pre-built dashboards for quick insights. Popular features include interactive dashboards, data exploration tools, and mobile access for on-the-go analysis. User reviews highlight BICS' scalability, ease of use, and powerful data analysis capabilities. Pricing varies based on deployment options and features selected. Subscription models offer flexible payment options and scalability. Compared to similar products, BICS offers competitive pricing and a comprehensive set of features, making it a strong choice for businesses seeking a robust and cost-effective BI solution.

Pros
  • Scalable
  • Easy to use
  • Powerful data analysis
  • Mobile access
  • Competitive pricing
Cons
  • Limited customization
  • Steep learning curve for advanced features
  • Limited data connectors
  • Potential vendor lock-in
  • Limited customer support
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$833/User, Annually
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$0/User, Monthly
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Product Assistance

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Email
Phone
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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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  • Business Insights: Offers users the ability to get a deeper understanding of what is happening in their business on a day-to-day basis as well as from a broad overview perspective.
  • Strategic Predictions: Using historical data, users can make more accurate predictions and forecasts of future business results.
  • Smart Visualizations: Users can create stunning graphics with an intuitive drag-and-drop interface and easily adjust layouts. The solution offers users the optimal visualization for the type of data selected, but users can also change the visualization type to view data from multiple angles.
  • Interconnected Interface: Data and visualizations are tied together. Therefore, highlighting data within a certain visual automatically highlights correlating data in other visuals, easily revealing patterns and trends that may not have been obvious.
  • Ease of Use: Simple, clean UI offers easy navigation through the homepage, answers page and dashboards. Nesting and borders in the interface help users stay focused on the data instead of distracting elements of the application.
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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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  • Visual Analytics: Creates graphical visualizations of data to make analyzing insights faster, easier and more accessible.
  • Connected Interface: Data and all visualizations are all tied together, and changes or highlighting in one will be mirrored in the others. This dynamic experience lets visualizations function as connected filters and guiding users through their exploration.
  • Data Blending: Infers correlations between data sets to easily mash personal with managed data. Extends dimensions to add facts or improve the timeliness and relevance of analysis.
  • Mobile Application: Provides an agile mobile experience spanning users’ data portfolio that offers a consistent interface with the desktop application. Users can access analytics instantly on any device.
  • Range of Report Types: The system offers a variety of report types including ad-hoc queries and analysis, enterprise reporting, dashboards, mobile analytics, multidimensional OLAP, scorecards and predictive analytics.
  • BI Server: In-memory optimizations provide quick rollups, powerful compression, faster rollups and sophisticated memory usage for a range of data sizes.
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Product Ranking

#72

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Business Intelligence Tools

#396

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 216 reviews
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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.

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4.0 (26)
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4.2 (5)
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4.3 (144)
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3.4 (41)
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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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Scalability: Easily scales to accommodate growing data volumes and user needs.
Ease of Use: User-friendly interface and intuitive features for both technical and non-technical users.
Self-Service Analytics: Empowers users across departments to explore data and generate insights without relying on IT.
Data Integration: Integrates data from various sources into a single platform for a unified view of business performance.
Powerful Data Analysis: Advanced data exploration and analysis tools for uncovering hidden trends and patterns.
Mobile Access: Access data and insights from anywhere, anytime on mobile devices.
Cost-Effectiveness: Competitive pricing and flexible subscription options make it accessible for businesses of all sizes.
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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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Limited Customization: Pre-built dashboards and reports offer limited flexibility for advanced users.
Steep Learning Curve for Advanced Features: Mastering advanced features requires significant training and technical expertise.
Limited Data Connectors: May not support all specific data sources required by some businesses.
Potential Vendor Lock-in: Migrating data and insights to another platform can be complex and time-consuming.
Limited Customer Support: Some users report challenges in accessing timely and comprehensive customer support.
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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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User reviews of Oracle Business Intelligence Cloud Services (BICS) paint a picture of a powerful and easy-to-use BI platform with some limitations. Users praise its scalability, self-service analytics, and data integration capabilities, which empower them to make data-driven decisions without relying heavily on IT. As one user stated, "BICS has transformed how we analyze data. Now everyone from sales to finance can access insights and make informed decisions, which has significantly improved our efficiency and performance." However, some users find the platform to be less customizable than competitors like Tableau and Power BI, with limited options for building custom dashboards and reports. Additionally, the learning curve for advanced features can be steep, and some users report limited support for specific data sources. One user commented, "While BICS is great for basic reporting, it lacks the flexibility and advanced features I need for complex analysis. I find myself often switching to other tools for more in-depth work." Despite these limitations, users generally agree that BICS offers a compelling value proposition for businesses seeking a comprehensive and cost-effective BI solution. Its strengths in scalability, ease of use, and data integration set it apart from competitors, making it a good choice for organizations of all sizes. As one user summarized, "BICS may not be the most customizable BI platform out there, but its ease of use, data integration capabilities, and competitive pricing make it a great choice for our company. It helps us get the insights we need to make informed decisions and stay ahead of the competition." Ultimately, whether BICS is the right BI platform for your organization depends on your specific needs and priorities. If you are looking for a user-friendly and scalable solution with strong data integration capabilities, BICS is definitely worth considering. However, if you require a highly customizable platform for advanced analysis or have specific data source requirements, other options might be better suited for your needs.

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