From Ploomes to MySQL: managed, scheduled, no code.
Kondado replicates 36 Ploomes pipelines containing 275 fields to MySQL on a configurable schedule ranging from every 5 minutes to daily, enabling automated CRM data warehousing for complex sales analytics and operational reporting without manual exports.
Kondado enables you to replicate data from Ploomes to MySQL without writing complex code or managing API connections. Simply authenticate your Ploomes account as a data source, configure your MySQL destination, and select which pipelines you want to synchronize. The platform handles the data transfer automatically on your chosen schedule, ensuring your database stays current with your CRM sales activities, client information, and deal progressions.
Once your Ploomes data lands in MySQL, you can combine it with other business data sources to build comprehensive sales reports or feed information directly into your existing analytics stack. This automated workflow eliminates manual CSV downloads and gives your team consistent access to updated CRM data for better decision-making across departments.
With the Deals and Clients pipelines replicated to MySQL, you can analyze your complete sales funnel performance alongside customer acquisition metrics using standard SQL queries. Query historical deal progression data to identify bottlenecks in your complex sales cycles, or join client segmentation data with proposal information to calculate conversion rates by customer type and source. The Sales and Products pipelines enable inventory-aware revenue analysis, allowing you to correlate product performance with specific deal stages and optimize your quoting strategies based on actual closed-won data stored in your database.
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Replicated to MySQL
Ploomes data available for MySQL
Tables Kondado writes into your MySQL, on a schedule you control.
36
available pipelines
275
extractable fields
MySQL
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.
Authenticate your Ploomes CRM account in Kondado by providing your API credentials to establish the initial connection and enable data extraction.
2
Configure MySQL Destination
Enter your MySQL database connection details including host, port, and credentials to designate where your replicated data should land for analysis.
3
Select Pipelines and Schedule
Choose which of the 36 available pipelines to replicate and set your preferred update interval from every 5 minutes to daily for automated synchronization.
Try out all the features for free for 14 days
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Answers about sending Ploomes data to MySQL automatically
How does Kondado replicate Ploomes data to MySQL?▼
Kondado connects to the Ploomes API as a data source and extracts your selected pipelines on a configurable schedule. The platform automatically structures the data into MySQL-compatible tables and loads it into your specified database, handling schema management and updates without requiring manual intervention.
What specific Ploomes information is available in MySQL?▼
You can access detailed deal progression data, client relationship hierarchies, proposal approval statuses, and sales product configurations. The pipelines include user activity records, task management data, and currency information to support comprehensive sales operations analysis in your database.
How frequently does my Ploomes data refresh in MySQL?▼
You control the synchronization cadence based on your analytics requirements, selecting intervals that balance data freshness with system resources. This automated approach eliminates manual CSV exports while keeping your MySQL warehouse current with CRM activities.
How is Ploomes data structured in MySQL?▼
Each Ploomes pipeline becomes a separate table in MySQL, maintaining the relational structure between entities like Clients, Deals, and Sales. The platform preserves data types and relationships, allowing you to write joins across tables to analyze connected sales processes and customer journeys.
Can I combine Ploomes data with other sources in MySQL?▼
Yes, once Ploomes data resides in MySQL, you can join it with information from other business systems replicated through Kondado. Many users combine Ploomes sales data with marketing platform data or financial systems to calculate full-funnel ROI and customer acquisition costs using unified SQL queries.
Do I need coding skills to set up Ploomes to MySQL replication?▼
No coding is required to establish the connection or manage ongoing data transfers through Kondado. While SQL knowledge helps you query the data once it arrives in MySQL, you can also send Ploomes data directly to visualization tools like Power BI or Looker Studio if you prefer no-code reporting.
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