SEEBURGER Business Integration Suite Features

Provides an environment for users to rest their API's functionality, efficiency, and data accuracy.

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

Allows administrators to create APIs that utilize multiple backend resources and databases.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Limits access to suspicious visitors and monitors for traffic spikes to prevent overloads like DDoS attacks.

Records details related to usage and functionality for analytics and reporting.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Allows administrators to manage pricing and billing of API integration with customer applications.

Provides a dashboard for users to manage, govern, and secure their API.

The functionality at which APIs integrate with and perform within third-party applications.

Translates complex datasets and backend systems into formats that can be interpreted by applications.

Provides additional functionality for increased security, analytics, monitoring, and other features not included in the native feature set.

Monitors traffic and distribute resources and scales infrastructure workloads to match traffic.

Allows files and data to integrate directly into applications using APIs.

Provides scalable administrative controls over file transfer speeds.

Routing of static and dynamic content for faster delivery of desired files.

Supports accessability through differing operating systems and mobile devices

Protects data with within and as it leaves your secure or local network.

Provides the ability to extend the platform to include additional features and functionalities

Tools to visualize and analyze data.

Enables electronic document transfer between businesses and trading partners.

Translates the EDI data back and forth, basically converts internal data format into the EDI standard format.

Supports LDAP Protocol to enable access control and governance.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Allows administrators to set user access privileges to permit approved parties to access sensitive data.

Enables end-to-end automation of key EDI processes without any user intervention.

Detects the EDI errors and instantly notifies and alerts the transmission issue.

Provides a real-time customizable dashboard that allows users to track, monitor and manage transactions.

Allows integrations to business applications such as accounting packages, ERP software, E- commerce systems etc to streamline order processing workflow.

Allows integration with third party reporting and business intelligence applications.

Supports encrypted file transfer protocols like VAN, AS2, FTP/sFTP and HTTPS.

Built-in support for a wide variety of traditional and modern EDI standards as well as the ability to define custom standards.

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

Creates a test environment for EDI transactions to verify them and ensure they adhere to industry compliance requirements.

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

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

Monitors traffic and distribute resources and scales infrastructure workloads to match traffic.

Enhances file transfer speeds with scalable administrative controls and bandwidth optimization

Allows files and data to integrate directly into enterprise applications via APIs or connectors

Routes static and dynamic content to optimize delivery speed and ensure relevant file distribution

Protects data with within and as it leaves your secure or local network.

Provides accessibility across various operating systems and mobile platforms

Offers tools to visualize transfer data, audit logs, and performance metrics

Allows the platform to be extended with additional features, integrations, or custom workflows

Supports LDAP Protocol to enable access control and governance.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Allows administrators to set user access privileges to permit approved parties to access sensitive data.

Identifies unusual file transfer activity or potential threats using machine learning

Recommends or enforces governance policies based on usage patterns and risk models

Anticipates network load and optimizes resource distribution based on historical patterns

Uses real-time network data to dynamically route transfers for optimal performance