Dataform vs Superset
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | 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. |
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets; | 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 420 | Stacks 818 |
Followers 1.0K | Followers 53 |
Votes 45 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Superset, Dataform?
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dbForge Studio for Oracle
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dbForge Studio for PostgreSQL
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Metabase
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Liquibase
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Sequel Pro
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DBeaver
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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.
