Databridge Pro supports a wide range of connections and protocols to facilitate data ingestion and integration.
The primary supported connections include:
HxGN EAM
Interact with HxGN EAM event-driven message BODs (Business Object Documents) from Databridge queues.
BODs. Utilize HxGN EAM’s native event-driven message BODs (Business Object Documents) for outbound and inbound events. Two built-in processors are available for BODs: BODFromEAM_V2 and BODToEAM. See the HxGN EAM Integrating with Dataflow Studio technical brief.
RESTful API (SOAP). Connect to EAM’s available RESTful APIs (or SOAP services) via an HTTPS connection to retrieve data. Add custom parameter properties to support specific header details for EAM connections.
HTTPS
Make HTTPS requests to external web services, RESTful APIs, or websites using various HTTP Methods (Get, Post, Put, Delete, etc.) to send or retrieve data.
RESTful API. Connect to any RESTful (or SOAP) services exposed by an application. Note: Custom header parameters can be added, as needed, to support communications.
Amazon Web Services
Interact with various Amazon Web Service systems.
S3. Interact with AWS S3 (Simple Storage Service) buckets to retrieve, write, put, or tag files within an S3 bucket.
Kinesis Stream. Define a connection to Amazon Kinesis Data Streams to send or read data for real-time analytics.
Microsoft Azure
Interact with Microsoft Azure systems to manage large data sets.
Data Lake. Define a connection to retrieve and send data to Azure Data Lake Store.
Blob Storage. Define a connection to Azure Blob Storage containers, a scalable object storage service, to retrieve and send data.
Event Hub. Receive or send messages with Azure Event Hub for event ingestion and stream processing.
File storage
Interact with other file storage systems to read, write, manipulate, and manage files.
FTP/SFTP. Transfer files to and from remote servers using File Transfer Protocol (FTP) and Secure File Protocol Transfer (SFTP).
Box. Connect to Box cloud content to interact with specified files and folders.
Snowflake. Push data into Snowflake using Snowpipes or Database Record Processors.
Mongo. Insert, update, and delete documents, or run an aggregation query on MongoDB based on specific criteria.
Databases. Connect to various databases to query or interact with files, including DynamoDB, MS SQL Server, Postgres SQL, and Oracle DB 12 & 23.
Others
Apache Kafka. Consume or publish messages through Apache Kafka to facilitate data streaming.
MQTT. Connect to MQTT (Message Queuing Telemetry Transport) brokers to publish data or subscribe to specific topics for IoT and messaging use cases.
Elasticsearch. Perform various operations such as indexing, querying, and other management tasks on Elasticsearch indices or clusters.
Salesforce. Retrieve and create data record objects through a Salesforce CRM connection.
Workday. Read and pull data from configurable reports within Workday.