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  1. Stackups
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  3. Business Intelligence
  4. Business Intelligence
  5. Ananas Analytics Desktop vs Dataform

Ananas Analytics Desktop vs Dataform

OverviewComparisonAlternatives

Overview

Ananas Analytics Desktop
Ananas Analytics Desktop
Stacks0
Followers11
Votes0
GitHub Stars578
Forks43
Dataform
Dataform
Stacks818
Followers53
Votes0
GitHub Stars934
Forks188

Ananas Analytics Desktop vs Dataform: What are the differences?

What is Ananas Analytics Desktop? *A hackable data integration/analysis tool *. It is a hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand. You can connect data from anywhere. Transform, analyze, and visualize with simple steps.

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.

Ananas Analytics Desktop and Dataform are primarily classified as "Business Intelligence" and "Database" tools respectively.

Some of the features offered by Ananas Analytics Desktop are:

  • Built for Non-technical User
  • Powered by SQL
  • Offline Mode

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

  • Version ontrol
  • Scheduling
  • Notifications and logging

Ananas Analytics Desktop and Dataform are both open source tools. Ananas Analytics Desktop with 365 GitHub stars and 17 forks on GitHub appears to be more popular than Dataform with 77 GitHub stars and 7 GitHub forks.

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Detailed Comparison

Ananas Analytics Desktop
Ananas Analytics Desktop
Dataform
Dataform

It is a hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand. You can connect data from anywhere. Transform, analyze, and visualize with simple steps.

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.

Built for Non-technical User; Powered by SQL; Offline Mode; Comes with technical tools for engineers to test, and run Ananas data projects in cloud or on premise
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
578
GitHub Stars
934
GitHub Forks
43
GitHub Forks
188
Stacks
0
Stacks
818
Followers
11
Followers
53
Votes
0
Votes
0
Integrations
PostgreSQL
PostgreSQL
MySQL
MySQL
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google Cloud SQL
Google Cloud SQL
JSON
JSON
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
GitHub
GitHub
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Git
Git

What are some alternatives to Ananas Analytics Desktop, 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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