Domain separation and Stream Connect

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of Domain separation and Stream Connect

    Domain separation in Stream Connect allows ServiceNow customers to logically isolate data, processes, and administrative tasks into distinct domains within a single instance. This capability ensures that data visibility and access are controlled based on domain membership, supporting multi-tenant environments and improving security and governance. Stream Connect fully supports domain separation across its components, enabling service providers to configure domain-specific business logic and data parameters.

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    Key Features

    • Domain-aware Application Properties and Business Logic: Service providers can customize processes per tenant, such as requiring specific admin comments on record closure for one tenant but not another.
    • Message Replication: Core Stream Connect tables for message, channel, and Kafka topic replication are domain separated. Domains are assigned through fields like sysdomain and domainmaster, ensuring data is segregated per tenant.
    • Topic Namespaces: Kafka topics are associated with namespaces linked to specific domains. This controls domain-level access and visibility to Kafka topics, enforced through domain-based ACLs.
    • Producers and Consumers: Kafka producers can only send data to topics visible within their domain. Consumer runtime data, including streams, subscriptions, partitions, and unprocessed messages, are stored in domain-separated tables to maintain tenant isolation.
    • Schema Management: Schema-related tables for Stream Connect are domain separated, allowing domain-specific schema registries and management.

    Key Outcomes

    • Enables multi-tenant usage by isolating data and processes per domain within a single ServiceNow instance.
    • Improves data security by restricting data visibility and interactions to users within the assigned domains.
    • Supports customized tenant-specific configurations and business logic to meet varied requirements.
    • Ensures Kafka topic access and message handling respect domain boundaries, maintaining data integrity and compliance.
    • Facilitates efficient management of schemas and runtime data with domain separation, enhancing operational efficiency for service providers and tenants.

    Domain separation is supported for Stream Connect. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data.

    Support level: Standard

    • Includes all aspects of Basic level support.
    • Application properties are domain-aware as needed.
    • Business logic: The service provider (SP) creates or modifies processes per customer. The use cases reflect proper use of the application by multiple SP customers in a single instance.
    • The instance owner must configure the minimum viable product (MVP) business logic and data parameters per tenant as expected for the specific application.

    Sample use case: An admin must be able to make comments required when a record closes for one tenant, but not for another.

    For more information on support levels, see Application support for domain separation.

    Message replication

    Records in the following Stream Connect Message Replication tables are domain separated.
    • Message Replications [sys_sc_message_replication]
    • Channel Replications [sys_sc_channel_replication]
    • Message Replication Statistics [sys_sc_channel_replication_metric]
    • Kafka Topic Replications [sys_kafka_topic_replication]

    The domain for a message replication record is specified in the record's sys_domain field.

    For channel replication and replication metrics records, the domain is determined by the domain_master attribute. The domain_master attribute uses a reference field's domain to determine the domain for the current record. A channel replication record gets its domain from the referenced message replication record. A replication metrics record gets its domain from the referenced channel replication record.

    A Kafka topic replication record has the same domain as its associated channel replication record because the Channel Replications table is a parent of the Kafka Topic Replications table.

    Topic namespaces

    You can use topic namespaces to configure which domains can access a Kafka topic on a domain-separated instance. In ServiceNow, Kafka topics are linked to a namespace. Namespaces can be linked to ServiceNow domains. When a namespace is assigned to a specific domain, all the topics created with that namespace are also assigned to the namespace's domain. Users can only see and interact with the topics they have access to, based on domain visibility and access control lists (ACLs).

    For more information, see .

    Producers and consumers

    Stream Connect producers and consumers are also domain separated. For producers, you can produce data only to topics that are visible to the domain.

    For consumers, all the tables used to keep runtime data are domain separated. These tables include the following.
    • Kafka Streams [sys_kafka_stream]
    • Kafka Subscriptions [sys_kafka_subscription]
    • Kafka Subscription Partition Groups [sys_kafka_partition_group]
    • Kafka Consumer Statistics [sys_kafka_consumer_statistics]
    • Kafka Unprocessed Messages [sys_kafka_unprocessed_messages]

    Domain users can create domain-specific Kafka streams with the topics that are visible to the domain. When activating a Kafka stream, the subscription and partition groups are created within the same domain. At runtime, the domain of the partition group is set by the consumer thread so that all the data is imported to the correct domain. For more information on producers, consumers, and Kafka streams, see Using Stream Connect for Apache Kafka.

    Schema management

    Tables for schemas and schema registries are domain separated. These include the following.
    • Stream Connect Schemas [stream_connect_schema]
    • Standalone Stream Connect Schema [standalone_stream_connect_schema]
    • Confluent Stream Connect Schema [confluent_stream_connect_schema]
    • Stream Connect Schema Registry [stream_connect_schema_registry]
    • Confluent Stream Connect Schema [confluent_stream_connect_schema]
    • Standalone Stream Connect Schema [standalone_stream_connect_schema]