How does Kondado replicate Superlogica data to SQL Server?

Kondado uses a direct integration to extract data from your Superlogica account and load it into your SQL Server database tables. The platform handles the data transformation automatically, ensuring that fields like subscription IDs, client names, and charge amounts maintain their structure and relationships. You configure the connection once, and Kondado manages the ongoing data movement on your chosen schedule.

What specific Superlogica data can I replicate to SQL Server?

You can choose from nine available pipelines including Clients, Charges, Bank Accounts, and Products and Services to replicate into SQL Server. Each pipeline contains specific fields relevant to your financial operations, such as subscription contract details, recurring item configurations, and cost center allocations. This allows you to select exactly which business entities you need for your analysis without importing unnecessary information.

How frequently can I update Superlogica data in my SQL Server database?

Kondado offers flexible scheduling options that let you update your SQL Server data every 5 minutes, 15 minutes, hourly, or daily depending on your reporting requirements. For financial tracking that requires near-real-time visibility into new subscriptions or payment status changes, you might choose shorter intervals. For historical analysis or monthly reconciliation, daily updates may be sufficient.

Can I combine Superlogica data with other business sources in SQL Server?

Yes, once your Superlogica data resides in SQL Server, you can join it with information from additional Kondado pipelines or existing database tables. Many users combine Superlogica subscription data with marketing analytics from BigQuery exports or financial data from PostgreSQL to create comprehensive business intelligence. SQL Server serves as your central repository where disparate data sources converge for unified reporting.

What format does Superlogica data take once it arrives in SQL Server?

Superlogica data arrives in SQL Server as structured relational tables that mirror the pipeline structure you selected during setup. Fields maintain their data types and naming conventions from the source, making it easy to write SQL queries against subscription records, charge details, or client information. You can immediately start building queries, stored procedures, or views without additional data cleaning or transformation steps.

Can I visualize Superlogica data from SQL Server in Power BI or Looker Studio?

Absolutely, SQL Server acts as a powerful backend for visualization tools like Power BI and Looker Studio . After Kondado populates your database with Superlogica information, you connect your preferred BI tool directly to SQL Server to build custom dashboards. This setup allows you to create recurring revenue reports, subscription churn analysis, and payment tracking visualizations that update automatically as new data flows in.

How do I analyze subscription churn using Superlogica data in SQL Server?

You can leverage the Inactive Subscriptions pipeline combined with the Subscriptions: Contract Configuration data to calculate churn rates and identify cancellation patterns. Write SQL queries that compare deactivation dates against contract start dates to determine subscription lifespans, or join client data to understand which customer segments show higher attrition. These insights help you refine retention strategies and improve recurring revenue stability.

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Replicate Superlogica Data to SQL Server Automatically

To send Superlogica data to SQL Server, you need a direct integration that connects your financial management platform to your Microsoft database without manual exports. Kondado provides a no-code solution that replicates information from Superlogica directly into SQL Server on a configurable schedule, eliminating the need for technical teams to build and maintain custom API connections. Whether you manage condos, real estate agencies, or schools with recurring billing, your subscription data, client records, and financial transactions flow automatically into your database on your chosen timetable.

Kondado replicates Superlogica data to SQL Server automatically on a user-configured schedule, updating every 5 minutes, 15 minutes, hourly, or daily based on your business needs. Once your data arrives in SQL Server, you can build custom reports, perform complex financial analysis, and combine Superlogica information with other business data sources to create comprehensive dashboards that track recurring revenue, subscription health, and payment performance across your organization.

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With Kondado, you can access specific Superlogica pipelines such as Inactive Subscriptions and Subscriptions: Contract Configuration to analyze churn patterns and contract terms directly within your SQL Server environment. The Charges pipeline delivers detailed billing information including due dates and amounts, enabling you to calculate cash flow projections and identify late payment trends using your preferred analytics tools. By combining these datasets with information from Superlogica alongside other sources in SQL Server, you create unified views that connect subscription management with broader financial operations.

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Superlogica data available for SQL Server

available pipelines

1151

extractable fields

Available integrations

Integration	Description
Inactive Subscriptions	Includes fields such as id_mensalidade_mens, dt_cancelamento_plc, and fl_status_sac, enabling analysis of subscriptions that have been deactivated and their respective dates.
Subscriptions: Contract Configuration	Presents fields such as id_planocliente_plc, dt_contrato_plc, and fl_autocontratar_plc, which help understand the configuration of subscription contracts.
Subscriptions: Recurring Items Detail	Contains information such as id_produto_prd, nm_parcelas_pla, and fl_periodicidade_mens, allowing detailed analysis of items that generate recurring charges.
Cost Centers	Includes relevant fields for financial management, such as id_centro_custo and nm_centro_custo, facilitating expense analysis by cost center.
Clients	Presents data such as st_nome_sac, st_email_sac, and st_telefone_sac, essential for managing client information and communication.
Charges	Includes fields such as id_cobrança, dt_vencimento, and vl_cobrado, providing a clear view of charges made and their statuses.
Bank Accounts	Contains information such as id_conta_cb, id_banco_cb, and st_agencia_cb, essential for financial management and control of bank accounts.
Plans	Presents fields such as id_plano_pla, nm_parcelas_pla, and vl_preco_plano, fundamental for analyzing and comparing different available plans.
Products and Services	Includes data such as id_produto_prd, nm_produto, and vl_produto, allowing a detailed view of the products and services offered.

Inactive Subscriptions

Includes fields such as id_mensalidade_mens, dt_cancelamento_plc, and fl_status_sac, enabling analysis of subscriptions that have been deactivated and their respective dates.

Subscriptions: Contract Configuration

Presents fields such as id_planocliente_plc, dt_contrato_plc, and fl_autocontratar_plc, which help understand the configuration of subscription contracts.

Subscriptions: Recurring Items Detail

Contains information such as id_produto_prd, nm_parcelas_pla, and fl_periodicidade_mens, allowing detailed analysis of items that generate recurring charges.

Cost Centers

Includes relevant fields for financial management, such as id_centro_custo and nm_centro_custo, facilitating expense analysis by cost center.

Clients

Presents data such as st_nome_sac, st_email_sac, and st_telefone_sac, essential for managing client information and communication.

Charges

Includes fields such as id_cobrança, dt_vencimento, and vl_cobrado, providing a clear view of charges made and their statuses.

Bank Accounts

Contains information such as id_conta_cb, id_banco_cb, and st_agencia_cb, essential for financial management and control of bank accounts.

Plans

Presents fields such as id_plano_pla, nm_parcelas_pla, and vl_preco_plano, fundamental for analyzing and comparing different available plans.

Products and Services

Includes data such as id_produto_prd, nm_produto, and vl_produto, allowing a detailed view of the products and services offered.

See all available data →

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How to send Superlogica data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Your Superlogica Account

Authenticate your Superlogica credentials in Kondado to establish read access to your subscription management data, including client records and billing information.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location for your replicated data.

Select Pipelines and Schedule

Choose from the nine available Superlogica pipelines such as Charges or Inactive Subscriptions, then set your preferred update frequency to automate data flow into SQL Server.

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