Polytomic Features

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

Ensures live debugging to alert if any failure during data sync.

Supports the creation of automated workflows and data pipelines.

Supports notifications in messaging applications such as Slack, and even in workflows.

Provides several pre-built connectors and API integrations to build data workflows.

Programmatic trigger of syncs via public APIs

Native support for incremental syncing

Move sync logs back into warehouse for auditing

Supports event or transaction based integrations that react to changes in real-time

Provides a web-based interface for designing, documenting, and testing APIs.

Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Provides prebuilt, reusable connectors and workflows for all user integration requirements.

Enables multiple tenants (customers) to securely share physical computing resources.

Console for monitoring resource utilization, system health, ability to start and stop processes, etc.

Enables data routing on configuration basis and management of complex workflows through an orchestration engine.

Facilitates to and fro data map according to the data model between applications/web services.

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.

Supports and oversees the management of API products across their full lifecycle

Employs data encryption both at rest and in transit.

Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.

Supports secure communication protocols like FTPS, SFTP etc

Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.

Ensures data encryption across multiple levels of the reverse ETL process.

Integrates data from disparate sources, without physical data movement

Provides one or more methods to securely transfer data from one location to another through a network

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

Provides Integrations to EDI service providers.

Supports deployment of integration apps both on-premisis and cloud environments/

Supports deployment of integration apps to a managed cloud environment

Supports the creation of SQL models to query any data warehouse.

Detailed logging for auditing needs.

Real-time visibility into the reverse ETL process.

Configures data mapping from data warehouse to target tools.

View the reverse ETL data via reports and charts through data viz and sync progress.

Allows users to generate text based on a text prompt.