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  5. Cluvio vs Power BI Embedded

Cluvio vs Power BI Embedded

OverviewComparisonAlternatives

Overview

Cluvio
Cluvio
Stacks5
Followers21
Votes2
Power BI Embedded
Power BI Embedded
Stacks65
Followers147
Votes0

Cluvio vs Power BI Embedded: What are the differences?

<Write Introduction here>
  1. Pricing Model: Cluvio offers a straightforward pricing model with a fixed monthly rate per user, while Power BI Embedded follows a pay-per-session model, charging based on the number of report rendering sessions.

  2. Programming Languages Supported: Cluvio primarily supports SQL queries for data analysis and dashboards, whereas Power BI Embedded allows developers to leverage a wider range of programming languages such as Python and R for complex data manipulations and visualizations.

  3. Integration Capabilities: Cluvio provides seamless integration with popular cloud services like Google BigQuery, Amazon Redshift, and PostgreSQL, whereas Power BI Embedded offers deeper integration options with Microsoft Azure services, making it suitable for organizations heavily invested in the Microsoft ecosystem.

  4. Customization Flexibility: Cluvio allows users to customize dashboard themes and layouts to a certain extent, while Power BI Embedded offers more advanced customization options through APIs, allowing developers to tailor the user experience and functionality to specific business requirements.

  5. Scalability: Cluvio is more suitable for small to medium-sized businesses with its focus on simplicity and ease of use, whereas Power BI Embedded is designed for enterprise-scale applications that require high performance, scalability, and customizability to handle large volumes of data and complex analytics needs.

  6. Collaboration Features: Cluvio provides basic collaboration features such as sharing and commenting on reports, while Power BI Embedded offers more robust collaboration tools like real-time collaboration, version control, and user access management for teams working on complex analytics projects.

In Summary, Cluvio and Power BI Embedded differ in their pricing models, programming languages supported, integration capabilities, customization flexibility, scalability, and collaboration features, catering to different user needs based on the scale and complexity of their analytics requirements.

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Detailed Comparison

Cluvio
Cluvio
Power BI Embedded
Power BI Embedded

Cluvio lets you run SQL queries against your database, visualize the results and create beautiful, interactive dashboards in minutes.

Quickly and easily provide customer-facing reports, dashboards, and analytics in your own applications by using and branding it as your own. Reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.

Full-featured SQL Editor with code completion, formatting, syntax coloring;Full-featured R Editor with code completion and syntax coloring;Database Almanac that gives fast and easy access to database structure (tables/columns) and let's the user quickly explore data;Wide selection of chart types;Powerful sharing features;Free unlimited viewer accounts;Embedded analytics;On premise installations available with Cluvio OnPremise
API;SDK;Reports;Dashboards
Statistics
Stacks
5
Stacks
65
Followers
21
Followers
147
Votes
2
Votes
0
Pros & Cons
Pros
  • 1
    Fast to create dashboards
  • 1
    Dashboard sharing features
No community feedback yet
Integrations
Amazon RDS
Amazon RDS
Google BigQuery
Google BigQuery
MariaDB
MariaDB
Amazon Aurora
Amazon Aurora
Microsoft SQL Server
Microsoft SQL Server
Google Cloud SQL
Google Cloud SQL
Amazon Redshift
Amazon Redshift
Azure Database for PostgreSQL
Azure Database for PostgreSQL
MySQL
MySQL
Azure Database for MySQL
Azure Database for MySQL
JavaScript
JavaScript
Microsoft SharePoint
Microsoft SharePoint

What are some alternatives to Cluvio, Power BI Embedded?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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