Tableau Public

Website

public.tableau.com

Pricing URL

-

Categories

#Data Dashboard #Business Intelligence #Data Visualization #Graph Visualization

ElasticSearch

Website

elastic.co

Pricing URL

Official ElasticSearch Pricing

Categories

#Search Engine #Custom Search Engine #Custom Search #RESTful Search Engine #Search API

Tableau Public features and specs

• Free to Use
  Tableau Public is available for free, allowing individuals and organizations to create and publish data visualizations without incurring costs.
• User-Friendly Interface
  The platform provides a drag-and-drop interface that simplifies the process of creating interactive visualizations, making it accessible to users without a technical background.
• Cloud-Based Sharing
  Visualizations can be published to the cloud, making it easy to share insights and dashboards with others via a URL.
• Community Support
  A large and active community offers a wealth of publicly available visualizations, tutorials, and forums, providing support and inspiration.
• Rich Visualization Options
  Tableau Public offers a variety of visualization types, enabling users to create complex and insightful visual stories.

Possible disadvantages of Tableau Public

• Limited Data Security
  Since visualizations are publicly accessible, sensitive data cannot be used with Tableau Public, limiting its use for confidential business information.
• Data Source Limitations
  Tableau Public supports fewer data source connections compared to the full version of Tableau, potentially restricting data integration.
• File Size Restrictions
  There are limits on the size of the data files that can be uploaded, which may be insufficient for large datasets and can constrain analysis.
• No Offline Access
  Because it is cloud-based, an internet connection is required to access and publish dashboards, potentially causing issues for users with unreliable connectivity.
• Limited Feature Set
  As a free platform, Tableau Public lacks some advanced features and customization options available in paid versions of Tableau, which may limit analysis capabilities.

ElasticSearch features and specs

• Scalability
  ElasticSearch is highly scalable, allowing you to handle large volumes of data and distribute indexing and search tasks across multiple nodes.
• Real-Time Data
  It provides real-time indexing and searching capabilities, making it suitable for applications that require up-to-the-minute data retrieval and analysis.
• Full-Text Search
  ElasticSearch is well-known for its powerful full-text search capabilities, enabling complex search queries and supporting a wide range of search options.
• Complex Query Support
  It offers a rich query language allowing for complex and nested searching with filters, aggregations, and more.
• Distributed Architecture
  ElasticSearch is designed to be distributed by nature, making it resilient to node failures and allowing data and search requests to be distributed across a cluster.
• Open Source
  ElasticSearch is open-source, offering flexibility and a large community of developers that contribute to its continuous improvement and support.
• Analytics
  Besides search, it also supports powerful analytics and visualization tools, especially when integrated with Kibana, its visualization dashboard.
• Integrations
  ElasticSearch can easily integrate with various data sources and frameworks, enhancing its usability across different applications.

Possible disadvantages of ElasticSearch

• Complexity
  Operating ElasticSearch can be complex, particularly when dealing with large-scale deployments, requiring specialized knowledge and expertise.
• Resource Intensive
  ElasticSearch can be resource-intensive, requiring significant amounts of RAM and CPU, which can be costly for large-scale operations.
• Consistency
  As a distributed system, ElasticSearch can sometimes face consistency issues, especially in scenarios involving partitions or network failures.
• Security
  Though security features are available, they often require additional configurations and are more robust in the paid versions, which can be a concern for open-source users.
• Cost
  While the core ElasticSearch software is open-source, scaling and additional features (like security, monitoring, and machine learning) are part of the paid Elastic Stack offerings.
• Learning Curve
  There is a steep learning curve associated with mastering ElasticSearch and its query DSL (Domain Specific Language), which can be a barrier for new users.
• Maintenance
  Properly maintaining an ElasticSearch cluster requires ongoing management, monitoring, and tuning to ensure optimal performance.
• Backup and Restore
  Managing backups and restores can be cumbersome and is not as straightforward as in some other databases or data storage solutions.

Introduction to Tableau Public

More videos:

What is Elasticsearch?

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