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# Database View support for Predictive Intelligence

# Database View support for Predictive Intelligence {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
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## Summary of Database View support for Predictive Intelligence

Database views enable ServiceNow customers to combine two or more tables into a single consolidated view, which can then be used as input for Predictive Intelligence Machine Learning (ML) solutions.
This capability allows customers to enrich their ML training data by leveraging a broader set of fields from multiple tables, enhancing the accuracy and outcomes of classification, similarity, clustering, and regression models.
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## Key Features

* **Support Across ML Frameworks:** Database views are supported in all four Predictive Intelligence frameworks---classification, similarity, clustering, and regression.
* **Creation of Database Views:** Customers must first create the database view combining the desired tables before using it in ML solutions.
* **Expanded Training Data:** Using a database view allows ML solutions to train on data from multiple tables simultaneously, rather than a single table.
* **Record Volume Requirements:** Each table included in the database view must meet a minimum record count (default is 10,000 records) to ensure meaningful ML results. Customers can contact ServiceNow Customer Support to adjust this threshold if necessary.
* **Similarity Solution Configuration:** When defining a similarity ML solution, customers select the database view in place of a single table in the solution's configuration, thus increasing the volume and diversity of data used during training.

## Practical Application

For example, a customer creates a database view named "Knowledge View" that joins five Knowledge Base tables containing different article templates like FAQs and How-To articles. By selecting this database view in a similarity solution definition, the ML model compares and processes records across all five tables, improving the solution's effectiveness by leveraging a richer dataset. This approach supports more comprehensive insights and better predictive accuracy.  
Use database views to join two or more tables as input for your Machine Learning (ML)
solution.

## Using database views in an ML solution {#database-view-support-predictive-intelligence__section_f3q_rvj_2mb}

Database views help expand the amount of fields your solution can use for training. By using
more than one table in your ML solution definition form, you can access more input data to help
enrich the solution outcome.

Database views enable you to join two or more tables into one consolidated view. For this to
work in an ML solution you must first create the database view. See [Database views](https://www.servicenow.com/docs/access?context=c_DatabaseViews&version=brazil&pubname=brazil-platform-administration&ft:locale=en-US).

Database views are supported in all four of the Predictive Intelligence capability
frameworks: classification, similarity, clustering, and regression.

## A database view example for Predictive Intelligence {#database-view-support-predictive-intelligence__section_tsg_yj4_dmb}

In the following example scenario, you've created a database view for use in an ML similarity
solution. The image below shows the database view record you've created, including its
Name and Label.

When you click the record Name, its content appears, as shown in the
image below. Within the database view content, the five Knowledge Base tables you've joined
to the view are listed. Most of these tables contain different Knowledge article template
types, such as an FAQ or a How To article.

When a database view is used as input to a similarity solution, each of the tables that
constitute the view must have at least the required number of records set in the configuration
of your ServiceNow instance. The default minimum number required is
10,000. For example, the Knowledge View database view has five tables and
each table must have 10,000 records. If a table doesn't have 10,000 records, you may not see the
results from that table. If you must change that value, contact Customer Support.

In the image below you can see the similarity solution definition record you've already
created, which you plan to associate to your database view. When you click the
Label for your similarity record, its Similarity Definition form
appears.

Similarity Definition forms compare your existing table records based on their similarity by
using a table in the Table field and another table in the Test Table field.

To use a database view in your similarity solution, instead of selecting a table in the
Table field, you select the database view you created, which in this
example scenario is the Knowledge View database view. This configuration
increases the number of records your solution uses in training because the system compares and
processes five tables of data instead of one.