No-code pipeline · Salesforce → Amazon S3

Send data from Salesforce to Amazon S3

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No credit card required | 14 days | 10 million records | 30 pipelines

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From Salesforce to Amazon S3: managed, scheduled, no code.
Creating a pipeline that sends data from Salesforce to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Salesforce to Amazon S3 is managed and executed by our platform. With Kondado, you can focus on extracting value from Salesforce data and combining it with other data in your Amazon S3 data lake

Send Salesforce Data to Amazon S3

How do you send Salesforce data to Amazon S3 without engineering overhead? Kondado provides a direct integration that replicates your CRM, marketing automation, and customer service records to scalable cloud storage. Configure your data source once, select which objects to replicate, and set your preferred update frequency from every 5 minutes to daily. Your Salesforce data arrives in Amazon S3 ready for analysis with Athena, Presto, or Dremio, enabling sophisticated analytics without maintaining complex API connections.

Kondado automatically replicates Salesforce standard and custom objects to Amazon S3 on a configurable schedule ranging from every 5 minutes to daily, enabling analysts to query CRM data alongside other sources using their preferred data virtualization tools.

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

The Objeto pipeline captures your complete Salesforce schema, replicating standard objects like Accounts, Opportunities, and Contacts alongside your custom objects. Once stored in Amazon S3, combine this sales data with marketing analytics from other sources to build comprehensive customer journey analysis. Use Athena to query win rates by region, blend records with MySQL transactional data for revenue attribution, or connect your S3 bucket to Power BI for executive dashboards that refresh automatically.

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Replicated to Amazon S3

Dynamic data

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

1
available pipeline
Amazon S3
Destination

What Kondado extracts

Objeto
Kondado automatically maps all standard and custom objects in your account

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How to send Salesforce data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect your Salesforce account

Authenticate your Salesforce data source in Kondado by providing your credentials and allowing access to your CRM, marketing automation, and service cloud objects.

2
Configure your S3 destination

Enter your Amazon S3 bucket details and specify the file path structure where your Salesforce objects should be stored for optimal querying with Athena or Presto.

3
Select objects and schedule updates

Choose which standard and custom objects to replicate through the Objeto pipeline, then set your update frequency from every 5 minutes to daily based on your analytics needs.

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Send data from Salesforce to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Salesforce data to Amazon S3 automatically

How does Kondado replicate Salesforce data to Amazon S3?
Kondado uses a direct integration to extract your Salesforce records and load them into Amazon S3 on a configurable schedule. The process requires no code: simply authenticate your Salesforce account, specify your S3 bucket details, and select which objects to replicate. Data transfers happen automatically according to your chosen frequency.
What Salesforce objects can I replicate to Amazon S3?
Through the Objeto pipeline, you can replicate all standard objects like Accounts, Contacts, and Opportunities, plus any custom objects defined in your Salesforce instance. Kondado automatically detects your schema and maps fields without manual configuration. Select specific objects or replicate your entire CRM dataset to S3.
How often does Salesforce data update in Amazon S3?
Update frequency is fully configurable, ranging from every 5 minutes for near-real-time analytics to daily batches for historical analysis. You set the schedule during pipeline configuration based on your business requirements. Each run appends or updates records in your S3 bucket according to your chosen sync mode.
What file format does Salesforce data arrive in when sent to S3?
Data lands in your Amazon S3 bucket in a structured format optimized for analytics engines like Athena, Presto, and Dremio. The format supports efficient querying and partitioning for large datasets. This structure enables you to analyze CRM data alongside information from other sources using your preferred data virtualization layer.
Can I combine Salesforce data in S3 with other data sources?
Yes, Amazon S3 serves as a central data lake where Salesforce records can coexist with data from BigQuery, PostgreSQL, or other Kondado sources. Use Athena to join sales figures with MySQL transaction records or Excel campaign data stored in the same S3 bucket. This consolidation creates unified reporting across your entire technology stack.
Do I need coding skills to send Salesforce data to Amazon S3?
No programming is required to configure the replication process. Kondado provides a no-code interface where you authenticate your Salesforce account and configure your S3 destination through guided steps. The platform handles API connections, schema mapping, and file formatting automatically.
Can I send Salesforce data to other destinations besides Amazon S3?
Yes, Kondado enables you to replicate Salesforce data to multiple destinations simultaneously. Send your CRM data to Power BI for business intelligence, Google Sheets for collaborative analysis, or BigQuery for data warehousing while maintaining your S3 archive.

Try out all the features for free for 14 days

Try out all the features for free for 14 days