Ongoing Tasks

Use the CDC Sink ongoing task to keep a live copy of PostgreSQL tables in RavenDB as documents, and learn how to reshape normalized rows into well-modeled documents by embedding, linking, or copying fields.

Set up a RavenDB Azure Service Bus Queue Sink that turns incoming Service Bus messages into documents, covering SAS, Entra ID, and passwordless authentication, configured either in the Studio or with the C# client API.

Learn how to use the RavenDB ETL Errors View in Studio to diagnose and fix ETL pipeline issues, including script errors, connection failures, and transformation problems.

Learn to implement the transactional outbox pattern in C# using RavenDB data subscriptions or Queue ETL, with RabbitMQ and Kafka code examples.

Set up RavenDB's native Elasticsearch ETL to continuously extract, transform, and load your RavenDB collections into Elasticsearch indexes, with no custom pipelines or bespoke integration code.

Push RavenDB document changes onto Azure Queue Storage with an ETL task, then process them serverlessly with an Azure Function.

Three ways to move a RavenDB database between instances: a simple export and import, a direct import over a URL for large datasets, and live external replication with no downtime.

Connect an AI provider like OpenAI, create an embeddings generation task, and query your documents by meaning with RavenDB vector search.

Set up an ongoing Snowflake ETL task in RavenDB to continuously sync documents to your Snowflake data warehouse, using a worked traffic-sensor IoT example.

Set up an ongoing Amazon SQS ETL task in RavenDB to stream documents into an SQS queue, then process them with an AWS Lambda function that emails speeding-ticket alerts through SES.

Automate RavenDB backup and restore from the Node.js client: define backup destinations, schedule periodic tasks, trigger backups manually, restore databases, and monitor your backup tasks.