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Cloudera vs Zoho Analytics

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Our analysts compared Cloudera vs Zoho Analytics 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.

Overview Pricing Benefits & Features User Ratings Analyst Summary Screenshots
Cloudera Software Tool
Zoho Analytics Software Tool
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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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Zoho Analytics (formerly Zoho Reports) allows users to create visualizations and dashboards to present their data via a quick, easy, self-service model. It brings insight and analysis to an organization’s business data on-demand without needing IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process.

Users can crunch huge datasets, clean and blend data, perform various analytical tasks and visualize the results in dynamic graphics to uncover insights. They can make data-informed business decisions in a stand-alone or embedded environment with support for mobile devices. It has flexible on-premise or cloud deployment models.
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$833/User, Annually
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$24 Monthly
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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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  • Visualize Data in Intuitive Graphics: Create insightful, useful dashboards to gain valuable information. Offers an expansive library of visualization types that is expanded frequently. Employees can also blend multiple reports into a single dashboard to gain insight into larger data trends. 
  • Discover Business Operations Insights: Get in-depth, actionable overviews of operations, ranging from sales, finance and marketing to resource management and geographic activity through geo visualizations that facilitate comparison across and between regions. 
  • Perform In-Depth Analysis: Managers can perform deep analytical queries that increase their business intelligence through powerful features like pre-built formulas and functions that identify business metrics and smart forecasting to project future outcomes. 
  • Share and Collaborate on Reports: Provides managers with fine-grained access over the content clients and colleagues can see and edit. Users with access can publish reports, embed them into websites or share them via email for collaboration. Peers can create comment threads on reports as well as add images and annotations. 
  • Embed Into Other Systems: Embed the software’s analytics capabilities into other solutions like CRM platforms, ERP tools or others. Offers seamless integration and a fully re-branded user portal for a continuous user experience across platforms. 
  • Extend the Software as Business Grows: The platform’s extensible, scalable architecture helps build and integrate analytics into applications of any size. Scales up to enterprises using huge volumes of data by utilizing scalable columnar database technology. 
  • Draw Data From Many Sources: Develop a 360-degree view of the organization by blending different types and sources, including outside sources, of data into a single cohesive database, allowing businesses to better answer questions regarding customer behavior, business operations, financial status and more. 
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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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  • Geo Visualization: Sales reps can quickly and easily compare regional performance with interactive map charts. Comparisons can be performed across countries, states, counties and more. 
  • Data Alerts: Managers can set alert conditions that trigger automated alerts when there is a significant change or anomaly in the data. 
  • Report Scheduling: Reports can be scheduled to be published or emailed automatically. Also, schedule recurring reports to generate on a set schedule. 
  • Drag-and-Drop Interface: An intuitive drag-and-drop interface makes generating useful reports quick and easy, without the need for code. View underlying data, set contextual filters, perform data exploration and drill down into the data to gain insights. 
  • White Labeling: The solution is white-labeled to facilitate embedding into websites or applications. Use this technology to embed individual reports or dashboards. 
  • Ask Zia: Zia is a smart analytical assistant built out of a blend of AI and machine learning algorithms. Employees can type out questions in natural query language (NQL), and the assistant will offer answers and suggestions via reports or automatically build and source KPI widgets. 
  • Data Connectors: Connects to a broad range of data connectors, including files and feeds, cloud storage, multiple databases, CRM systems, Google Analytics, marketing platforms, social media, financial platforms, e-commerce platforms, HR and more. 
  • Auto-Joined Data: Auto-joining tables can automatically merge tables linked by a Lookup column (schema attribute). This assists and partially automates cohesive database creation. 
  • Mobile Support: Apps on iOS and Android allow managers to view reports and dashboards from their mobile devices and overwatch operations from anywhere. 
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Product Ranking

#72

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#23

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User Sentiment Summary

Great User Sentiment 216 reviews
Great User Sentiment 748 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.

89%
of users recommend this product

Zoho Analytics has a 'great' User Satisfaction Rating of 89% when considering 748 user reviews from 5 recognized software review sites.

n/a
5.0 (14)
4.0 (26)
4.2 (130)
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4.5 (226)
4.2 (5)
n/a
4.3 (144)
4.5 (168)
3.4 (41)
4.4 (210)

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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Ease of Use: It is a user-friendly platform that makes it easy to upload and control data, as noted by more than 77% of reviewers who mention ease of use.
Integration: Facilitates integration with multiple databases and platforms for greater insights, as reported by 82% of the users noting integrations.
Dashboards: It enables easy creation and sharing of multifaceted, custom dashboards, as observed by 75% of reviewers specifying dashboards.
Flexible Reports: It helps generate dynamic and customizable reports quickly, as stated by 88% of the users who refer to reports.
Implement: This tool is simple to deploy and implement, as noted by 75% of reviewers mentioning the implementation process.
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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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Learning Curve: Around 63% of reviewers who mention the learning curve report that it has a steep learning curve for non-technical users.
User Interface: Its user interface can be confusing because of the multiple options and features available, as noted by over 54% of reviewers that mentioned the user interface.
Limited Queries: All users who refer to queries state that composing and joining queries is limited.
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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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Zoho Analytics is a BI and data analytics software platform that helps users visually analyze data, create visualizations and get a deeper understanding of raw data. It helps users generate dynamic, highly customizable and actionable reports and allows integration with multiple platforms for achieving greater insights. Its multifaceted and customizable dashboards can enhance the user experience. However, many reviewers have reported that the user-interface can be confusing to use with the many options and features available. Also, it has a steep learning curve, and non-technical users might find it difficult to use in the beginning. Overall, it is a user-friendly platform that enables effortless data handling.

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