Platform
- - - ETL
    - 100+ sources, one-click data pipelines
    - Data warehouse
    - Built-in or bring your own: Snowflake, Bigquery, SQL Server, Redshift
    - Data syncs
    - Sync data from any source to any destination, Reverse ETL
    - Magical SQL
    - SQL on any data source, ephemeral & materialized
  - - Low-code Python
    - IDE & Runtime, Streamlit, data apps, custom pipelines
    - Federated query engine
    - Built-in Trino, write SQL queries across sources
    - One-click deploy
    - Hosted Metabase, Superset, Airflow, Vector DBs
    - Whitelabel & Embedding
    - For SaaS and consultancy companies
Solutions
- - - DATA INTEGRATION
    - Any data source, any destination
  - - Data to BI
    - Real-time data in any BI tool and spreadsheet
    - Data to DWH
    - One-click ETL pipelines, 100+ sources
  - - Data to SaaS
    - Sync data into your SaaS apps
    - Data to API
    - Share data with partners & teams
- - - DATA ACTIVATION
    - Combine magical SQL and low-code Python
  - - Human interactions
    - Data Cockpit
    - Alerting
    - Reporting
    - Data apps
  - - Automation & integration
    - Publish Data APIs
    - File automation & distribution
    - Data Syncs
    - Low-code automations
- - - EMBEDDED DATA CLOUD
    - For SaaS companies, ISVs and consultancy businesses
Connectors
Docs
Pricing

Companies with the most installations

SQL query for Ziggu

Get the companies with the highest number of installations in Ziggu.

SELECT companies.name, COUNT(installments.id) AS total_installations FROM companies JOIN installments ON companies.id = installments.company_id GROUP BY companies.name ORDER BY total_installations DESC LIMIT 10

Ziggu data model

Table Units

Table Companies

Table Customers

Table Documents

Table Employees

Table Lots

Table Projects

Table Installments

Table Buildings

Table Unit Customers

Table Fractions

Table Issues

Table Issue Lists

Table Issue List Types

Table Issue Categories

Table Issue Statuses

Table Phases

Magical SQL for Ziggu with Peliqan.io

Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. SQL queries become new tables that can be shared with business users and used in any BI tool such as Microsoft Power BI, Tableau or Metabase.

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