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* New branch from superset for integration with firebolt sqlalchemy adapter * Added db_engine_spec file for Firebolt * Removed firebolt code from superset repo * Deleted virtual env commit * Adding time grain changes to firebolt.py * Updated README.md Added steps to install and run Superset with Firebolt SQLAlchemy Adapter * Update README.md Reduced installation steps. Using PyPi installation for adapter now * Revert "Update README.md" This reverts commit5ed17c7a45. * Revert "Updated README.md" This reverts commit45c5072649. * added epoch methods, added test cases for firebolt db engine spec and edited setup.py * Added license to files * Added documentation for Firebolt-SQLAlchemy * Removed trailing whitespace * Updated connection string for Firebolt Co-authored-by: apurva-sigmoid <89530372+apurva-sigmoid@users.noreply.github.com> Co-authored-by: Apurva Anand <aapurva@sigmoidanalytics.com>
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset
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Slice & dice your data
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Choose from a wide array of visualizations
Why Superset?
Superset provides:
- An intuitive interface for visualizing datasets and crafting interactive dashboards
- A wide array of beautiful visualizations to showcase your data
- Code-free visualization builder to extract and present datasets
- A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
- A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
- Out-of-the-box support for most SQL-speaking databases
- Seamless, in-memory asynchronous caching and queries
- An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
- Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
- The ability to add custom visualization plugins
- An API for programmatic customization
- A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
A more comprehensive list of supported databases along with the configuration instructions can be found here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
- Ask and answer questions on StackOverflow using the apache-superset tag
- Join our community's Slack and please read our Slack Community Guidelines
- Join our dev@superset.apache.org Mailing list
Contributor Guide
Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.
Resources
- Superset 1.0
- Getting Started with Superset
- Documentation for Superset End-Users (by Preset)
- Deploying Superset
- Recordings of Past Community Events
- Upcoming Superset Events
- Visualizations
- Superset API