Официальный Плагины Базы данных

Apache Superset

Установка
docker (см. README)

Описание

Apache Superset — флагманская open-source BI-платформа: интерактивные дашборды с богатым набором визуализаций, SQL-редактор с подсветкой и автодополнением, слой семантики для единых метрик компании, подключение к десяткам баз данных, кэширование, масштабирование и ролевая модель.

Что умеет:
— строить интерактивные дашборды;
— работать с SQL в браузере;
— задавать единые метрики компании;
— подключать десятки источников данных.

Полная документация ниже — автоматически из репозитория apache/superset (ветка master). Оригинальные материалы проекта распространяются на условиях его лицензии.

Superset

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Superset logo (light)

A modern, enterprise-ready business intelligence web application.

Documentation

  • User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
  • Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
  • Developer Guide — Contribute to Superset or build on its REST API and extension framework.

Why Superset? |
Supported Databases |
Release Notes |
Get Involved |
Resources |
Organizations Using Superset

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

superset-video-1080p.webm

Large Gallery of Visualizations

Craft Beautiful, Dynamic Dashboards

No-Code Chart Builder

Powerful SQL Editor

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

Amazon Athena  
Amazon DynamoDB  
Amazon Redshift  
Apache Doris  
Apache Drill  
Apache Druid  
Apache Hive  
Apache Impala  
Apache Kylin  
Apache Pinot  
Apache Solr  
Apache Spark SQL  
Ascend  
Aurora MySQL (Data API)  
Aurora PostgreSQL (Data API)  
Azure Data Explorer  
Azure Synapse  
ClickHouse  
Cloudflare D1  
CockroachDB  
Couchbase  
CrateDB  
Databend  
Databricks  
Denodo  
Dremio  
DuckDB  
Elasticsearch  
Exasol  
Firebird  
Firebolt  
Google BigQuery  
Google Sheets  
Greenplum  
Hologres  
IBM Db2  
IBM Netezza Performance Server  
MariaDB  
Microsoft SQL Server  
MonetDB  
MongoDB  
MotherDuck  
OceanBase  
Oracle  
Presto  
RisingWave  
SAP HANA  
SAP Sybase  
Shillelagh  
SingleStore  
Snowflake  
SQLite  
StarRocks  
Superset meta database  
TDengine  
Teradata  
TimescaleDB  
Trino  
Vertica  
YDB  
YugabyteDB

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

Try out Superset’s quickstart guide or learn about the options for production deployments.

Get Involved

Contributor Guide

Interested in contributing? Check out our Developer Guide for resources and a detailed setup guide.

Resources

Understanding the Superset Points of View