Polytomic Features

Management (2)

Extraction: Extract data from the designated source(s) like relational databases, JSON files, and XML files.
Transformation: Cleanse and re-format extracted data to the needed target format.
Loading: Load reformatted data into target database, data warehouse, or other storage location.
Automation: Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).
Scalability: Capable of scaling processing power up or down based on ETL volume.
Debugging: Ensures live debugging to alert if any failure during data sync.
Workflow Automations: Supports the creation of automated workflows and data pipelines.
Notifications: Supports notifications in messaging applications such as Slack, and even in workflows.
API Integrations: Provides several pre-built connectors and API integrations to build data workflows.
Programmed trigger of data sync: Programmatic trigger of syncs via public APIs
Incremental data sync: Native support for incremental syncing
Data audit: Move sync logs back into warehouse for auditing

Real-Time Integration: Supports event or transaction based integrations that react to changes in real-time
API Designer: Provides a web-based interface for designing, documenting, and testing APIs.
Flow Designer: Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.
Pre-Built Connectors: Facilitiates API development and integrations with prebuilt connectors, templates, and examples.
Custom Connectors: Provides the ability to create connectors from existing services and APIs in catalog.
Reusable connectors: Provides prebuilt, reusable connectors and workflows for all user integration requirements.
Multi - tenant architecture: Enables multiple tenants (customers) to securely share physical computing resources.

Monitoring & Notification: Console for monitoring resource utilization, system health, ability to start and stop processes, etc.
Routing And Orchestration: Enables data routing on configuration basis and management of complex workflows through an orchestration engine.
Data Mapping: Facilitates to and fro data map according to the data model between applications/web services.
Data Transformation: Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system.
API Management: Supports and oversees the management of API products across their full lifecycle

Data Encryption: Employs data encryption both at rest and in transit.
Security Standards: Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.
Communication Protocol: Supports secure communication protocols like FTPS, SFTP etc
Security Compliance: Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.
Data Encryption: Ensures data encryption across multiple levels of the reverse ETL process.

Data Modeling: Supports the creation of SQL models to query any data warehouse.
Auditing: Detailed logging for auditing needs.
Observability: Real-time visibility into the reverse ETL process.
Data mapping: Configures data mapping from data warehouse to target tools.
Reporting: View the reverse ETL data via reports and charts through data viz and sync progress.