How often does Kondado update PipeRun data in Amazon S3?

You can configure the replication schedule to run every 5 minutes, 15 minutes, hourly, or daily based on your analytics requirements. This flexibility allows you to balance between data freshness and processing costs, ensuring your sales reports reflect recent activity without unnecessary API calls.

What file format does PipeRun data use when stored in Amazon S3?

Kondado stores your PipeRun data in Amazon S3 as structured files that work seamlessly with AWS Athena, Presto, and Dremio. This format enables immediate querying through standard SQL without additional transformation steps, making your sales data instantly accessible for analysis.

Can I combine PipeRun data with other sources in the same Amazon S3 bucket?

Yes, you can replicate data from multiple sources into the same Amazon S3 bucket or adjacent prefixes, creating a unified data lake. Combine your PipeRun opportunities with marketing campaign data or financial records to build comprehensive datasets for Power BI or Looker Studio dashboards.

Which specific opportunity fields are available in the PipeRun to Amazon S3 pipeline?

The standard Opportunities pipeline includes id, status, value, and closed_at date fields, while the Opportunities: Custom Fields pipeline captures deal_id, customfield_name, and value data. Together these 134 fields provide complete visibility into your sales funnel structure and custom tracking attributes.

How do I query PipeRun data once it reaches Amazon S3?

You can query your replicated PipeRun data directly in Amazon S3 using AWS Athena for serverless SQL analysis, or connect business intelligence tools like Power BI and BigQuery to create visual reports. Many users also employ Presto or Dremio for data virtualization across multiple stored datasets.

Does Kondado support historical PipeRun data replication to Amazon S3?

Yes, when you first connect PipeRun to Amazon S3, Kondado can replicate your historical opportunity records alongside new data. This backfill capability ensures your analytics include complete sales history from day one, enabling trend analysis and year-over-year performance comparisons.

Can I send PipeRun data to Amazon S3 and Power BI simultaneously?

Kondado allows you to create multiple pipelines from the same PipeRun data source, enabling parallel replication to Amazon S3 and direct destinations like Power BI or Google Sheets . This flexibility supports both data lake storage and immediate business intelligence needs. ### HowTo

Send data from PipeRun to Amazon S3

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Send PipeRun Data to Amazon S3 Automatically

Kondado provides a direct connection between PipeRun and Amazon S3, allowing you to replicate your sales pipeline data automatically on a configurable schedule. You can set updates to run every 5 minutes, hourly, or daily depending on your business needs. This automation eliminates manual exports and ensures your data lake always contains current opportunity information for analysis.

Kondado connects to PipeRun and replicates your Opportunities data and custom fields directly to Amazon S3 buckets in near-real-time, enabling seamless compatibility with Athena, Presto, and Dremio for advanced analytics without manual intervention.

Once configured, your PipeRun data flows continuously into your designated S3 storage, ready for transformation and visualization. You can combine this sales data with other sources to build comprehensive reports in Power BI, Looker Studio, or BigQuery for complete business intelligence.

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Available Data Pipelines

Kondado replicates the Opportunities pipeline, capturing essential sales data including opportunity IDs, status values, deal amounts, and closed dates directly into your Amazon S3 environment. The Opportunities: Custom Fields pipeline ensures that your unique business attributes and specialized tracking fields transfer alongside standard metrics.

With this data in Amazon S3, you can analyze conversion rates across different opportunity stages, track sales velocity using closed_at timestamps, and segment performance by custom field categories. Store this information alongside marketing data from other sources to calculate complete customer acquisition costs and lifetime value metrics in your preferred analytics platform.

FAQ

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PipeRun data available for Amazon S3

available pipelines

134

extractable fields

Available integrations

Integration	Description
Opportunities	Table provides information on opportunities, including fields such as id, status, value, and closed_at date.
Opportunities: Custom Fields	Table contains custom fields for opportunities, such as deal_id, customfield_name, and value.

Opportunities

Table provides information on opportunities, including fields such as id, status, value, and closed_at date.

Opportunities: Custom Fields

Table contains custom fields for opportunities, such as deal_id, customfield_name, and value.

See all available data →

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How to send PipeRun data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect PipeRun to Kondado

Authenticate your PipeRun account in the Kondado platform by providing your API credentials. This establishes the data source connection and allows Kondado to access your opportunities and custom field information.

Configure Amazon S3 destination

Set up your Amazon S3 bucket details including the region, bucket name, and desired file path structure for storing the replicated data. Kondado writes directly to your specified S3 location using your provided AWS access credentials.

Select pipelines and schedule updates

Choose which pipelines to activate, selecting between standard Opportunities data and Opportunities: Custom Fields, then configure your preferred update frequency from 5 minutes to daily intervals. This determines how frequently Kondado replicates new and updated records from PipeRun to your Amazon S3 storage.

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