From Ploomes to Amazon S3: managed, scheduled, no code.
Kondado replicates data from 36 Ploomes pipelines including Deals, Clients, Sales, and Products directly to Amazon S3 on a configurable schedule, enabling you to query CRM data with Athena, Presto, or Dremio for advanced analytics and reporting.
Kondado provides a direct integration between Ploomes and Amazon S3, allowing you to replicate your CRM data without writing code. Simply connect your Ploomes account as a data source, configure Amazon S3 as your destination, and select which pipelines you want to replicate. The platform handles the data extraction and loading on a configurable schedule, updating your S3 bucket every 5 minutes, hourly, or daily based on your business needs.
Once your Ploomes data lands in Amazon S3, you can combine it with other business data to build comprehensive reports or feed your data warehouse. This automated pipeline eliminates manual exports and ensures your sales analytics always reflect the latest CRM activity. Teams can analyze deal progression, client interactions, and sales performance using their preferred query engines while maintaining a single source of truth in S3 storage.
With the Deals and Sales pipelines replicated to your S3 bucket, you can analyze revenue trends, deal progression, and conversion rates using SQL queries in Athena or Dremio. The Clients pipeline brings comprehensive customer profiles including ratings, segments, and status fields, enabling you to segment your analysis by customer type or relationship strength for targeted marketing campaigns. Combine Interaction Records with deal data to understand which touchpoints drive successful closures, creating a complete view of your sales funnel performance that updates automatically as your team logs new activities in Ploomes.
Try out all the features for free for 14 days
Replicated to Amazon S3
Ploomes data available for Amazon S3
Tables Kondado writes into your Amazon S3, on a schedule you control.
36
available pipelines
275
extractable fields
Amazon S3
Destination
Available integrations
Positions
Table contains information about positions, including id, name, and associated user profile.
Cities
Table presents data about cities, including id, name, and associated state.
Cities: states
Table provides information about states related to cities, including id and state name.
Cities: countries
Table contains data about countries associated with cities, including id and country name.
Clients (companies and individuals)
Table presents information about clients, including id, name, email, and status.
Clients: ratings
Table provides data about client ratings, including id and rating name.
Clients: sources
Table contains information about client sources, including id and source name.
Clients: relationships
Table presents data about relationships between clients, including id and relationship type.
Clients: segments
Table provides information about client segments, including id and segment name.
Clients: status
Table contains data about client status, including id and status description.
Client Types
Includes fields such as id and name, allowing categorization of clients into different types for better management.
Departments
Contains fields such as id and name, facilitating the organization and structuring of departments within the company.
Documents
Presents fields such as id and filename, allowing management of documents associated with clients and sales.
Currencies
Includes fields such as id and currency, essential for financial management and conversion of values in different currencies.
Deals
Has fields such as id, ordernumber, and amount, allowing tracking and analysis of completed sales.
Deal Stages
Includes fields such as id, name, and ordination, which help define the progression of deals through different stages.
Deal Funnels
Presents fields that allow visualization and management of different sales funnels and their stages.
Deal Loss Reasons
Includes fields such as id and name, helping to identify and analyze the reasons why deals were not closed.
Deal Status
Presents fields that indicate the current status of deals, allowing better tracking of progress.
Products
Contains fields such as id and name, essential for managing and categorizing the products offered.
Product Groups
Includes fields such as id, name, and description, allowing for the categorization of products into specific groups for better organization and analysis.
Product Families
Contains fields such as id, name, and group_id, facilitating the organization of products into related families for more efficient management.
Proposals
Presents fields such as id, filename, and approval status, allowing for the management and tracking of proposals sent to clients.
Proposal Products
Includes fields such as proposal_id, product_id, and quantity, detailing the products included in each proposal for accurate tracking.
Proposal Approval Status
Contains fields such as id and name, allowing for the categorization of different approval statuses for submitted proposals.
Interaction Records
Includes fields such as id, type, and date, recording interactions made with clients for relationship analysis.
Tasks
Presents fields such as id, name, and status, allowing for effective management of tasks assigned to users within the platform.
Task Recurrence Intervals
Contains fields such as id and frequency, defining the periodicity of tasks for better work organization.
Task Types
Includes fields such as id and name, categorizing tasks into different types for easier management.
Email Reminder Types
Presents fields such as id and description, allowing the configuration of different types of email reminders for users.
Users
Table contains information about users, including fields such as id, name, and email, as well as role id and profile id.
User Suspension Reasons
Table lists the reasons for user suspension, with fields such as id and name, along with comments on the suspension.
User Profiles
Table presents user profiles, including fields such as id, name, and avatar url, along with phone and user language.
Sales
Table contains data on sales, including fields such as id, order number, date, customer id, and total sale amount.
Sales Stages
Table lists sales stages, with fields such as id, name, icon, and ordination of stages within a funnel.
Sales Products
Table contains information on sold products, including fields such as order id, product id, and quantity, along with unit price and discount.
Sync data automatically — no code, no manual exports.
1
Add Ploomes data source
Authenticate your Ploomes account through Kondado's interface to establish the connection and access the 36 available pipelines. Select Ploomes from the data source catalog and provide your API credentials to enable data extraction.
2
Configure Amazon S3 destination
Enter your AWS credentials and specify the S3 bucket where you want to store the replicated CRM data. Define the folder structure and file naming conventions to ensure compatibility with your existing Athena, Presto, or Dremio queries.
3
Select pipelines and schedule
Choose which of the 36 Ploomes pipelines to replicate, such as Deals, Clients, or Sales, and set your preferred update frequency. Configure the schedule to run every 5 minutes, hourly, or daily based on how frequently you need refreshed data for your analytics.
Try out all the features for free for 14 days
Hundreds of data-driven companies trust Kondado
Why Kondado?
Focus on extracting value from your data and leave the rest to us
Answers about sending Ploomes data to Amazon S3 automatically
How does Kondado replicate Ploomes data to Amazon S3?▼
Kondado connects directly to the Ploomes API to extract data from your selected pipelines and loads it into your designated S3 bucket. The platform handles schema mapping and data type conversion automatically, ensuring your CRM information arrives in a query-ready format. You configure the replication schedule and pipeline selection through the visual interface without writing any code.
What Ploomes data can I replicate to Amazon S3?▼
You can replicate 36 different pipelines covering deals, clients, sales, products, tasks, and user information with 275 total fields available. This includes detailed sales records with order numbers and amounts, client profiles with segmentation data, and interaction history for complete CRM analytics. Select specific pipelines based on your reporting needs or replicate all available data for comprehensive analysis.
How often does Ploomes data update in Amazon S3?▼
Kondado updates your S3 data on a configurable schedule that you set based on your business requirements, ranging from every 5 minutes to daily intervals. Near-real-time updates ensure your sales dashboards reflect recent deal changes and client interactions without manual intervention. The automated schedule maintains data freshness while optimizing API usage and storage costs.
What file format does Ploomes data use in Amazon S3?▼
Data arrives in your S3 bucket in a structured format optimized for analytics engines like Athena, Presto, and Dremio. The files maintain consistent schemas that support complex SQL queries across multiple Ploomes pipelines, enabling you to join deal data with client profiles and product information seamlessly. This format allows immediate querying without additional transformation steps.
Can I combine Ploomes data with other sources in Amazon S3?▼
Yes, Kondado supports replicating data from multiple sources into your Amazon S3 bucket alongside your Ploomes information. You can combine CRM data from Ploomes with financial systems, marketing platforms, or support tickets in S3 to create comprehensive business reports. This unified approach enables cross-functional analysis using Athena or Presto without moving data between separate storage systems.
Do I need coding skills to send Ploomes data to S3?▼
No coding is required to configure the connection between Ploomes and Amazon S3 using Kondado's visual interface. The platform provides pre-mapped pipelines for all 36 Ploomes data endpoints, allowing you to select fields and set schedules through point-and-click configuration. Your data begins replicating automatically once you authenticate both systems and choose your update frequency.
Which Ploomes pipelines include sales order information?▼
The Sales pipeline contains order numbers, dates, customer IDs, and total amounts for completed transactions, while the Sales Products pipeline details individual items within each order including quantities and unit prices. The Deals pipeline tracks ongoing opportunities with order numbers and amounts before they close. Together these pipelines provide complete visibility into both prospective and completed revenue in your S3 analytics environment.
Can I send Ploomes data to destinations other than Amazon S3?▼
Yes, Kondado enables you to replicate Ploomes data to multiple destinations including Power BI, BigQuery, Google Sheets, PostgreSQL, and Looker Studio. You can configure parallel pipelines to send the same Ploomes data to both Amazon S3 and Power BI simultaneously. This flexibility allows different teams to access CRM data in their preferred analytics environment while maintaining a centralized backup in S3.
'%3E%3Cpath d='M51,41a9.978,9.978,0,0,0-7.857,3.835L22.648,34.588a9.69,9.69,0,0,0,0-5.176l20.5-10.247a10.1,10.1,0,1,0-1.791-3.577L20.857,25.835a10,10,0,1,0,0,12.33L41.352,48.412A9.994,9.994,0,1,0,51,41Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M33,47.645V60.71c.024-.014.05-.018.073-.033l11-7A2,2,0,0,0,45,51.992V40.012Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M31,47.645,19,40.011V51.992a2,2,0,0,0,.927,1.688l11,7c.023.015.049.019.073.033Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M32,21.693l12-7.634L33.076,7.086a2,2,0,0,0-2.152,0L20,14.059Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M12,35.556,0,27.922V39.9A2,2,0,0,0,.927,41.59l11,7c.023.014.049.019.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M52,35.556l12-7.634V39.9a2,2,0,0,1-.927,1.687l-11,7c-.023.014-.049.019-.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M47,38.914a2,2,0,0,0-.924-1.686L38,32.074V27.922l12,7.634V48.621c-.024-.014-.05-.019-.073-.033L47,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M13,33.821l12-7.634L14.076,19.214a2,2,0,0,0-2.152,0L1,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M17,38.914a2,2,0,0,1,.924-1.686L26,32.074V27.922L14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M32,45.91l12-7.634L33.076,31.3a2,2,0,0,0-2.152,0L20,38.276Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M14.076,19.214a2,2,0,0,0-2.152,0L1,26.187l12,7.634,12-7.634Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M49.924,19.214a2,2,0,0,1,2.152,0L63,26.187,51,33.821,39,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M26,27.922,14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726V38.914a2,2,0,0,1,.924-1.686L26,32.074Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M27.076,25.138A2,2,0,0,1,28,26.824V30.8l1.848-1.179A4,4,0,0,1,31,29.123V23.428L19,15.794v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M36.924,25.138A2,2,0,0,0,36,26.824V30.8l-1.848-1.179A4,4,0,0,0,33,29.123V23.428l12-7.634v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M33.076,31.3a2,2,0,0,0-2.152,0L20,38.276,32,45.91l12-7.634Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M50.348,42.573c0-9.411-8.691-12.336-16.348-14.416v-16.1a32.837,32.837,0,0,1,9.363,1.656l2.778,1.11,2.228-5.57L45.584,8.134A38.043,38.043,0,0,0,34,6.046V1H30V6.081c-8.213.594-16.348,4.86-16.348,13.471,0,9.036,8.841,11.732,16.348,13.744V50.074a33.591,33.591,0,0,1-12.006-2.511l-2.683-1.341-2.684,5.367,2.684,1.342c.243.121,5.7,2.792,14.689,3.152V63h4V56.065C44,55.462,50.348,50.3,50.348,42.573Zm-30.7-23.021c0-5.133,5.96-7.016,10.348-7.446V27.071C23.512,25.243,19.652,23.535,19.652,19.552ZM34,50.043V34.393c6.5,1.882,10.348,3.761,10.348,8.18C44.348,48.377,37.873,49.744,34,50.043Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
