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  5. Cluvio vs Dataform

Cluvio vs Dataform

OverviewComparisonAlternatives

Overview

Cluvio
Cluvio
Stacks5
Followers21
Votes2
Dataform
Dataform
Stacks818
Followers53
Votes0
GitHub Stars934
Forks188

Cluvio vs Dataform: What are the differences?

What is Cluvio? A new cloud analytics platform based on SQL and R. Cluvio lets you run SQL queries against your database, visualize the results and create beautiful, interactive dashboards in minutes.

What is Dataform? *A framework for managing SQL based data operations *. It helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

Cluvio can be classified as a tool in the "Business Intelligence" category, while Dataform is grouped under "Database Tools".

Some of the features offered by Cluvio are:

  • 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

On the other hand, Dataform provides the following key features:

  • Version ontrol
  • Scheduling
  • Notifications and logging

Dataform is an open source tool with 77 GitHub stars and 7 GitHub forks. Here's a link to Dataform's open source repository on GitHub.

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Detailed Comparison

Cluvio
Cluvio
Dataform
Dataform

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

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

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
Version ontrol; Scheduling; Notifications and logging; Assertions; Web based development environment; Alerting; Incremental tables; Packages; Reusable code snippets; Unit tests; Data tests
Statistics
GitHub Stars
-
GitHub Stars
934
GitHub Forks
-
GitHub Forks
188
Stacks
5
Stacks
818
Followers
21
Followers
53
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
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
GitHub
GitHub
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Git
Git

What are some alternatives to Cluvio, Dataform?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

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.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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