No-code pipeline · Superlogica → Amazon S3

Send data from Superlogica to Amazon S3

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From Superlogica to Amazon S3: managed, scheduled, no code.

Creating a pipeline that sends data from Superlogica to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Superlogica to Amazon S3 is managed and executed by our platform. With Kondado, you can focus on extracting value from Superlogica data and combining it with other data in your Amazon S3 data lake

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Send Superlogica Data to Amazon S3 Automatically

Kondado enables businesses to replicate Superlogica data to Amazon S3 on a configurable schedule, eliminating manual exports and ensuring your financial data from condominiums, real estate agencies, and educational institutions stays current for analysis. Whether you track recurring billing cycles or manage multiple properties, this connection streamlines your data workflow without requiring engineering resources or complex API configurations.

Once your Superlogica data lands in Amazon S3, you can leverage it with analytics tools like Athena, Presto, or Dremio to build custom financial reports and analyze subscription metrics alongside other business data. The platform supports automated updates every 5 minutes, hourly, or daily, giving you complete control over data freshness based on your operational requirements and reporting needs.

Kondado provides a no-code data source that replicates Superlogica financial and subscription data to Amazon S3 on a configurable schedule, supporting 9 pipelines including Subscriptions, Charges, and Cost Centers with 1151 total fields available for comprehensive business intelligence.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Superlogica Pipelines for Amazon S3

Replicate the Subscriptions: Contract Configuration and Charges pipelines to analyze contract terms alongside billing events directly within your Amazon S3 environment. Financial teams can correlate subscription status with payment data using Athena or Presto queries, enabling precise cash flow forecasting and automated revenue recognition workflows.

By centralizing Superlogica’s Cost Centers data in Amazon S3 alongside your subscription information, property managers gain unified visibility into operational expenses across multiple condominiums or real estate portfolios. This consolidated data foundation supports custom dashboard creation in Power BI or Looker Studio when connected through your data virtualization layer.

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Replicated to Amazon S3

Superlogica data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

1151

extractable fields

Amazon S3

Destination

Available integrations

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 → Send Superlogica to Amazon S3 →

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How to send Superlogica data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your Superlogica Account

Enter your Superlogica API credentials into Kondado's Superlogica data source configuration to establish authenticated access to your financial and subscription data.

Configure Amazon S3 Settings

Specify your target S3 bucket, folder structure, and file format preferences to ensure your Superlogica data arrives organized and ready for immediate analysis with Athena or Presto.

Choose Pipelines and Schedule

Select from the nine available pipelines such as Charges, Subscriptions, or Cost Centers, then set your preferred update frequency to keep your Amazon S3 data current for reporting.

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Send data from Superlogica to other destinations

Superlogica > Looker Studio

Superlogica > Power BI

Other visualizations

Superlogica > Amazon S3

Superlogica > BigQuery

Superlogica > Excel

Superlogica > Google Sheets

Superlogica > MySQL

Superlogica > PostgreSQL

Superlogica > Redshift

Superlogica > SQL Server

Choose a tool to visualize your Superlogica data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Superlogica > Airtable

Superlogica > Alteryx

Superlogica > Amazon Quicksight

Superlogica > BIMachine

Superlogica > Cortex

Superlogica > Data Studio

Superlogica > Geckoboard

Superlogica > Grafana

Superlogica > IBM Cognos Analytics

Superlogica > Klipfolio

Superlogica > Looker Studio

Superlogica > Looker

Superlogica > Looqbox

Superlogica > Metabase

Superlogica > Microstrategy

Superlogica > Pentaho

Superlogica > Power BI

Superlogica > Qlik Cloud Analytics

Superlogica > Qlik Sense

Superlogica > Qlik

Superlogica > QlikView

Superlogica > Redash

Superlogica > Superset

Superlogica > Tableau

Superlogica > BI TOTVS

Superlogica > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Superlogica data to Amazon S3 automatically

How does Kondado replicate Superlogica data to Amazon S3? ▼

Kondado connects directly to your Superlogica instance using your API credentials to extract financial and subscription information. The platform then transforms and loads this data into your specified Amazon S3 bucket on your chosen schedule, maintaining data structure integrity for immediate query compatibility with Athena or Presto.

What specific financial data from Superlogica can I store in Amazon S3? ▼

You can access client information, subscription contracts, recurring billing details, payment charges, and cost center allocations across nine available pipelines. This includes granular data such as contract dates, cancellation statuses, product pricing, and bank account details essential for comprehensive financial analysis.

How often does Superlogica data update in Amazon S3? ▼

Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with processing costs. You can configure different schedules for different pipelines, such as frequent updates for Charges and less frequent updates for static reference data like Products and Services.

What file format does Superlogica data use in Amazon S3? ▼

Data arrives in optimized columnar formats compatible with modern analytics engines, typically Parquet or compressed JSON, depending on your configuration. This format choice ensures efficient querying through Athena, Presto, or Dremio without requiring additional transformation steps before analysis.

Can I combine Superlogica data with other sources in Amazon S3? ▼

Yes, Amazon S3 serves as a central data lake where Superlogica financial data can coexist with information from CRM systems, marketing platforms, or other operational tools. You can join these datasets using SQL queries in Athena or feed them into BigQuery for comprehensive business intelligence across your entire technology stack.

Do I need technical skills to set up the Superlogica to Amazon S3 replication? ▼

No coding is required to establish the connection, as Kondado provides a guided interface for entering your Superlogica credentials and S3 bucket details. The platform handles API pagination, data type mapping, and schema management automatically, though basic familiarity with AWS S3 bucket policies helps with initial configuration.

What analytics tools work best with Superlogica data in Amazon S3? ▼

Athena and Presto excel at querying Superlogica data directly in S3 using standard SQL, while Dremio provides advanced data virtualization capabilities. You can also connect business intelligence tools like Power BI or Looker Studio to create visual reports from your centralized financial data.

How do I build custom reports from Superlogica data in Amazon S3? ▼

Start by defining your key metrics, such as monthly recurring revenue or churn rates, then write SQL queries in Athena to calculate these from your Subscriptions and Inactive Subscriptions pipelines. Connect your query results to visualization tools to build automated dashboards that refresh as new data arrives from Superlogica on your configured schedule.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days