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  5. Cluvio vs DOMO

Cluvio vs DOMO

OverviewComparisonAlternatives

Overview

DOMO
DOMO
Stacks52
Followers75
Votes0
Cluvio
Cluvio
Stacks5
Followers21
Votes2

Cluvio vs DOMO: What are the differences?

  1. Integration Capabilities: Cluvio offers direct integration with cloud databases like Amazon Redshift, Google BigQuery, and Snowflake, providing seamless data connectivity. On the other hand, DOMO integrates with a wide range of data sources, including ERPs, CRMs, and APIs, allowing for centralized data management across various systems.
  2. Data Governance and Security: Cluvio provides robust security features such as user access controls, data encryption, and compliance certifications like SOC 2, ensuring data integrity and protection. In contrast, DOMO offers advanced data governance capabilities, including data masking and IP restriction, enhancing privacy and security measures for sensitive information.
  3. Dashboard Customization: Cluvio offers flexible dashboard customization options, allowing users to create personalized data visualizations with various chart types, colors, and layouts. Conversely, DOMO provides pre-built dashboard templates and drag-and-drop tools for quick dashboard creation without extensive customization options.
  4. Collaboration Features: Cluvio offers collaboration features like sharing dashboards and reports with designated team members, as well as commenting and annotation capabilities for real-time collaboration. On the contrary, DOMO emphasizes social collaboration with features like chat and activity feeds, fostering teamwork and communication around data insights.
  5. Advanced Analytics Capabilities: Cluvio focuses on advanced analytics features such as SQL querying, R integration, and predictive analytics, enabling data scientists and analysts to perform complex analytical tasks within the platform. In comparison, DOMO emphasizes self-service analytics with intuitive tools for business users, emphasizing ease of use and accessibility for a broader audience.

In Summary, Cluvio and DOMO differ in terms of integration capabilities, data governance, dashboard customization, collaboration features, and advanced analytics capabilities.

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Detailed Comparison

DOMO
DOMO
Cluvio
Cluvio

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

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

-
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
Statistics
Stacks
52
Stacks
5
Followers
75
Followers
21
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 1
    Fast to create dashboards
  • 1
    Dashboard sharing features
Integrations
Box
Box
Loggly
Loggly
Basecamp
Basecamp
HipChat
HipChat
Asana
Asana
Google BigQuery
Google BigQuery
Amazon Redshift
Amazon Redshift
Mailchimp
Mailchimp
HubSpot
HubSpot
GitHub
GitHub
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

What are some alternatives to DOMO, Cluvio?

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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