From Ploomes to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from Ploomes to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Ploomes to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Ploomes data and combining it with other data in your PostgreSQL database
Kondado provides a direct integration between Ploomes and PostgreSQL, allowing you to replicate your CRM data automatically without writing code. Configure your data source by selecting from 36 available pipelines including Deals, Clients, and Sales data. Set your preferred update frequency, from every 5 minutes to daily schedules, and Kondado handles the automated data transfer to your PostgreSQL database. Once connected, your sales metrics, client information, and deal progress flow directly into PostgreSQL, enabling you to build custom reports and combine Ploomes data with other business sources for comprehensive analysis. This automated pipeline eliminates manual CSV exports and ensures your PostgreSQL analytics environment always contains current information from your complex sales workflows, supporting better decision-making across your organization.
Kondado replicates Ploomes CRM data to PostgreSQL on a configurable schedule, offering 36 pipelines with 275 fields including Deals, Clients, Sales, and Products for automated no-code data transfer.
With Kondado, your Ploomes Deals and Sales pipelines arrive in PostgreSQL as structured datasets ready for complex SQL analysis. Track deal progression through Deal Stages and Deal Funnels to identify bottlenecks in your sales process, or analyze Client segments alongside Sales Products data to understand which offerings drive revenue for specific customer categories. This data structure supports building custom business intelligence workflows that combine your CRM information with financial or marketing datasets already stored in your PostgreSQL environment, enabling comprehensive reporting on sales performance and customer behavior patterns.
Try out all the features for free for 14 days
Replicated to PostgreSQL
Ploomes data available for PostgreSQL
Tables Kondado writes into your PostgreSQL, on a schedule you control.
36
available pipelines
275
extractable fields
PostgreSQL
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
Connect Your Ploomes Account
Authenticate your Ploomes data source in Kondado by entering your API credentials and selecting your CRM environment from the available instances.
2
Configure PostgreSQL Destination
Enter your PostgreSQL connection details including host, database name, and authentication credentials to establish the target location for your replicated data.
3
Select Pipelines and Schedule
Choose which Ploomes pipelines to replicate, such as Deals, Clients, or Sales, and define your update frequency from 5-minute intervals to daily updates based on your analysis requirements.
Try out all the features for free for 14 days
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Answers about sending Ploomes data to PostgreSQL automatically
How does Kondado replicate Ploomes data to PostgreSQL?▼
Kondado connects directly to your Ploomes instance using your API credentials to extract data from selected pipelines. The platform then loads this information into your specified PostgreSQL database on the schedule you configure, handling schema creation and updates automatically as your Ploomes data structure changes.
What Ploomes data can I send to PostgreSQL?▼
You can choose from 36 available pipelines including Deals, Clients, Sales, Products, and Interaction Records, encompassing 275 total fields. This covers your entire sales cycle from prospect information in the Clients pipelines to completed transactions in Sales and detailed product configurations in Product Groups and Families.
How often does Ploomes data update in PostgreSQL?▼
Kondado updates your PostgreSQL database on a configurable schedule that you set during pipeline configuration, with options ranging from every 5 minutes to daily intervals. This near-real-time synchronization ensures your sales dashboards and reports reflect current deal statuses and client activities without manual intervention.
Can I combine Ploomes data with other sources in PostgreSQL?▼
Yes, PostgreSQL serves as a central repository where Ploomes CRM data can coexist alongside information from marketing platforms or financial systems. You can join Ploomes Deals data with external datasets using SQL queries to create unified views of customer journeys and revenue attribution across your business operations.
What format does Ploomes data take in PostgreSQL?▼
Each Ploomes pipeline becomes a separate table in PostgreSQL with normalized column names matching the original field structures from your CRM. Related entities maintain their relationships through foreign keys, such as Sales Products linking to parent Sales records and Products tables, enabling complex relational queries across your sales data.
Do I need technical skills to set up the Ploomes to PostgreSQL pipeline?▼
No coding is required to establish the connection, as Kondado provides a visual interface for selecting pipelines and configuring your database destination parameters. Basic PostgreSQL connection details like host, port, and credentials are sufficient to start replicating your Ploomes data automatically.
Can I send Ploomes data to other destinations besides PostgreSQL?▼
Yes, Kondado supports sending Ploomes data to multiple destinations including BigQuery, Power BI, Looker Studio, and Google Sheets. You can configure parallel pipelines to deliver the same Ploomes datasets to different tools for various team needs.
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