How does Kondado replicate Oracle data to Amazon S3?

Kondado connects directly to your Oracle database using your provided credentials and extracts selected tables and views automatically. The platform converts your database records into optimized file formats and delivers them to your specified S3 bucket on the schedule you configure, handling all transformation logic without requiring custom code.

What Oracle database objects can I replicate to S3 storage?

Through the Tables and Views pipeline, Kondado automatically discovers and replicates all standard database tables and custom views available in your Oracle instance. You can select specific objects to replicate or choose entire schemas, with automatic handling of schema changes and new column additions.

How often does Oracle data sync to Amazon S3?

Kondado offers flexible scheduling options ranging from every five minutes for near-real-time analytics to daily batches for historical reporting. You configure the exact frequency during pipeline setup, and Kondado maintains this schedule automatically while providing notifications about replication status.

What file format does Oracle data use in Amazon S3?

Kondado delivers Oracle data to S3 in optimized columnar formats like Apache Parquet or compressed CSV, depending on your analytics requirements. These formats maximize query performance in Athena and Presto while minimizing storage costs through efficient compression algorithms.

Can I combine Oracle data in S3 with other data sources?

Absolutely. Once your Oracle data resides in S3, you can create unified analytics by joining it with data from BigQuery , PostgreSQL , or other sources using Dremio or Athena Federated Query. This enables comprehensive reporting across your entire data ecosystem without additional ETL pipelines.

Do I need to map Oracle schema manually for S3 replication?

No manual schema mapping is required. Kondado automatically detects your Oracle table structures, data types, and relationships during the initial connection. The platform preserves your schema logic when writing to S3, creating compatible file structures that maintain data integrity for downstream analytics tools.

Can I send Oracle data from S3 to business intelligence tools?

Yes, data stored in S3 from Oracle can be directly accessed by Power BI , Looker Studio , and other visualization platforms. Connect your BI tools to query S3 directly through Athena, or use Kondado to further distribute Oracle data to Google Sheets for spreadsheet-based analysis.

Send data from Oracle to Amazon S3

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Send Oracle Data to Amazon S3 Automatically

Connecting your Oracle database to Amazon S3 requires no engineering work with Kondado’s no-code platform. Simply authenticate your Oracle instance, configure your S3 bucket as the destination, and select which database objects to replicate through our available pipelines. Kondado handles the automated data transfers on your chosen schedule, whether you need updates every five minutes, hourly, or daily, ensuring your data lake stays current without manual exports.

Kondado provides a direct integration between Oracle and Amazon S3 that automatically replicates your database tables and views to scalable cloud storage on a configurable schedule, requiring no engineering resources or complex ETL development.

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

Once your Oracle data lands in Amazon S3, you unlock powerful analytics capabilities with Athena, Presto, and Dremio for data virtualization across your organization. Build custom reports in Power BI or Looker Studio by connecting directly to your S3 data lake, or combine Oracle information with BigQuery and other sources for comprehensive business intelligence that drives faster decision-making.

Available Pipelines

Kondado’s Tables and Views pipeline automatically discovers and maps all available database objects from your Oracle instance, ensuring comprehensive data extraction without manual schema configuration. Replicate transactional tables, historical views, and analytical queries directly into your S3 data lake to power Athena-based SQL analytics or feed into Presto clusters for high-performance querying across massive datasets.

With your Oracle data structured in Amazon S3, you can combine financial records, customer databases, and operational metrics into unified analytics workflows. Use Dremio to create virtualized data layers that join Oracle information with BigQuery or PostgreSQL sources, enabling cross-platform reporting without moving data between systems.

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Dynamic data

Kondado automatically reads the schema of your Oracle. All tables, views, and fields available in your account are extracted without manual configuration.

available pipeline

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

Integration	Description
Tabelas e Views	Kondado automatically maps all tables and views available in your database

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How to send Oracle data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your Oracle Database

Enter your Oracle connection details including host, port, and service name into Kondado's data source configuration. Provide valid database credentials with appropriate read permissions to enable automatic discovery of your available tables and views.

Configure Amazon S3 Destination

Specify your target S3 bucket name and AWS region, then provide access credentials with write permissions for the designated storage location. Kondado validates the connection to ensure proper delivery of your Oracle data files.

Select Data and Set Schedule

Choose the Tables and Views pipeline to automatically map your Oracle database objects, then set your preferred replication frequency from five minutes to daily intervals. Activate the pipeline to begin automated Oracle to S3 replication on your configured schedule.

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