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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. AtScale vs Dataform

AtScale vs Dataform

OverviewComparisonAlternatives

Overview

AtScale
AtScale
Stacks25
Followers83
Votes0
Dataform
Dataform
Stacks818
Followers53
Votes0
GitHub Stars934
Forks188

Dataform vs AtScale: What are the differences?

What is Dataform? A framework for managing SQL based data operations. 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.

What is AtScale? The virtual data warehouse for the modern enterprise. Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

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

Some of the features offered by Dataform are:

  • Version ontrol
  • Scheduling
  • Notifications and logging

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

  • Multiple SQL-on-Hadoop Engine Support
  • Access Data Where it Lays
  • Built-in Support for Complex Data Types

Dataform is an open source tool with 84 GitHub stars and 8 GitHub forks. Here's a link to Dataform's open source repository on GitHub.

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Detailed Comparison

AtScale
AtScale
Dataform
Dataform

Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

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.

Multiple SQL-on-Hadoop Engine Support; Access Data Where it Lays; Built-in Support for Complex Data Types; Single Drop-in Gateway Node Deployment
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
25
Stacks
818
Followers
83
Followers
53
Votes
0
Votes
0
Integrations
Python
Python
Amazon S3
Amazon S3
Tableau
Tableau
Power BI
Power BI
Qlik Sense
Qlik Sense
Azure Database for PostgreSQL
Azure Database for PostgreSQL
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
GitHub
GitHub
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Git
Git

What are some alternatives to AtScale, 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.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

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