Skip to main content

Prior to **_re:dash_**, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one..

Project description

More details about the future of re:dash : http://bit.ly/journey-first-step


re:dash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns.

Prior to re:dash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.

re:dash was built to allow fast and easy access to billions of records, that we process and collect using Amazon Redshift ("petabyte scale data warehouse" that "speaks" PostgreSQL). Today re:dash has support for querying multiple databases, including: Redshift, Google BigQuery, PostgreSQL, MySQL, Graphite, Presto, Google Spreadsheets, Cloudera Impala, Hive and custom scripts.

re:dash consists of two parts:

  1. Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it. This way everyone can peer review not only the resulting dataset but also the process that generated it. Also it's possible to fork it and generate new datasets and reach new insights.
  2. Dashboards/Visualizations: once you have a dataset, you can create different visualizations out of it, and then combine several visualizations into a single dashboard. Currently it supports charts, pivot table and cohorts.

re:dash is a work in progress and has its rough edges and way to go to fulfill its full potential. The Query Editor part is quite solid, but the visualizations need more work to enrich them and to make them more user friendly.

Demo

You can try out the demo instance: http://demo.redash.io/ (login with any Google account).

Getting Started

Getting help

Reporting Bugs and Contributing Code

  • Want to report a bug or request a feature? Please open an issue.
  • Want to help us build re:dash? Fork the project, edit in a dev environment, and make a pull request. We need all the help we can get!

License

See LICENSE file.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

redash_x-1.1.5.tar.gz (78.6 kB view details)

Uploaded Source

Built Distribution

redash_x-1.1.5-py3-none-any.whl (110.8 kB view details)

Uploaded Python 3

File details

Details for the file redash_x-1.1.5.tar.gz.

File metadata

  • Download URL: redash_x-1.1.5.tar.gz
  • Upload date:
  • Size: 78.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.2

File hashes

Hashes for redash_x-1.1.5.tar.gz
Algorithm Hash digest
SHA256 183ccb1d92ed932dcfbf4c4737afaeb39e40ab9ca407a6992a99223006822ff3
MD5 ae058da654f381fee70abedf87ef3a95
BLAKE2b-256 0297953de427b01e0dc4aa9270ebd4f029a6962d17e3ab5ecf90b4c9d0f3e7ff

See more details on using hashes here.

File details

Details for the file redash_x-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: redash_x-1.1.5-py3-none-any.whl
  • Upload date:
  • Size: 110.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.2

File hashes

Hashes for redash_x-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3159c50b4053fcf3926825e61155646df3d75574e0b2f46757d6e529444dd826
MD5 5e1ede6b6fdbef6fd9f6bae8e340dbe9
BLAKE2b-256 d434612d52e2ef56e827185a1b9d1010dc0f8db84834f24b3e6eebb8ce3e2a3d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page