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Data 360 Limits and Guidelines
Guidelines define best practice recommendations to optimize your adoption of Data 360 for best performance. Limits are boundaries beyond which features are unavailable, performance is throttled, or usage billing charges are applied. Since Data 360 is built to scale, some limits can be adjusted to meet your business needs. Work with your account executive to find a solution that meets your goals.
Some limits and guidelines vary by edition or org type, such as when using Data 360 in a Developer org. For limits and guidelines related to Data 360 in a Developer org, see Developer Edition Limits and Guidelines for Data Cloud. Limits that aren't designated as hard limits indicate the point at which exceeding the limit may negatively impact performance, functionality, or usability. Hard limits, on the other hand, can't be exceeded in a regularly provisioned org. Contact your Account Executive to request an increase of the hard limit where indicated.
For limits related to Data 360 Reports, see Data 360 Reports and Dashboards: Limits and Limitations.
For billing information, refer to this additional document if your Data 360 org is operating under a Data Cloud license.
Refer to these documents instead if your Data 360 org is operating under a Customer Data Platform license.
Contact your account executive if you aren’t sure which documents apply to you.
General Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Location of data storage |
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| Number of Data Cloud permission set licenses |
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Learn about Data 360 Standard Permission Sets, Permission Set Considerations, and Salesforce Features and Edition Allocations. Contact your Account Executive to adjust this limit. |
| Number of data spaces |
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Learn more about licenses in Data 360 Standard Editions and Licenses. | |
| Data Spaces permission sets |
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Data spaces permission sets can’t be included in permission set groups. Data spaces permissions sets aren’t counted against the Number of Data 360 Permission Set Licenses limit. |
| Unsupported features |
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| Unsupported orgs |
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| Maximum number of Data Cloud One companion connections |
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You can raise this limit by purchasing more Data Cloud One Companion Org licenses. |
Activation Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Scheduled activation publish frequency for standard segments |
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Activation frequency is tied to the segment publish frequency for standard segments. Learn more in Review Publish History of Your Activation. |
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| Scheduled activation publish frequency for rapid segments |
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Activation frequency is tied to the segment publish frequency for rapid segments. | |
| Total number of attributes |
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Learn more about attributes in Create Activation for a Segment. | |
| Number of segments to an activation target |
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Each segment can be sent to an activation target one time. Learn more in Create Activation for a Segment. |
| Total number of activation targets |
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An activation target is information stored for a given activation platform, which is the location that a segment’s data is being sent to during the activation process. | |
| Total number of activations |
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There’s no limit on how many of your activations can have. | |
| Total number of activations with related attributes |
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There’s no limit on how many of your activations can have related attributes. Although, there's a limit in CDP. Learn more in Customer Data Platform Guidelines and Limits. | |
| Total number of related attributes per activation |
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Learn more in Considerations for Selecting Related Attributes in Data 360 Activations. |
| Maximum records in a segment with related attributes |
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If the segment has more than 150 million records and contains related attributes when you publish, the segment doesn’t activate. Learn more in Considerations for Selecting Related Attributes in Data 360 Activations. |
| Maximum levels away from the Activation Membership DMO with related attributes |
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Choose attributes from DMOs 5 levels away from your selected Activation Membership DMO. Learn more in Considerations for Selecting Related Attributes in Data 360 Activations. |
| Maximum number of related attribute records selected |
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Select the number of records sent for a given attribute in your activation payload. |
| Number of ad audience activations to ad audience partners |
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Ad audience activations are available for purchase. The ad audience partners are Google Ads, Meta (Facebook), and Amazon Ads. One ad audience allows a customer to activate one segment to an ad audience partner. For example, sending one segment to a Meta account and one segment to a Google account equals two ad audiences. |
| Maximum number of characters for file storage activation |
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Calculated Insights Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| How often calculated insights are processed |
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System managed calculated insights are automatically converted to scheduled calculated insights when the calculated insight is edited. With schedules, users can pick a start date, time, and frequency for processing calculated insights. A calculated insight won't run if there are no changes to source data, object mappings, or configurations. |
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| Maximum number of times a calculated insight can be manually processed in any 24-hour period |
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| Maximum calculated insight execution time |
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Insights that run for longer than 2 hours may be terminated by the system. If a calculated insight runs for longer than two hours, review your data shape and optimize it. |
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| Maximum number of nested calculated insights |
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Refers to how many existing insights you can use within a new insight. |
| Maximum number of dimensions per calculated insight |
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A dimension contains a qualitative value, such as a product name, date, or profile ID. |
| Maximum number of measures per calculated insight |
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A measure is a quantitative aggregated value, such as an average or total amount. |
| Total number of calculated insights per tenant |
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This limit includes calculated insights in active, inactive, and draft statuses. A tenant is a specific org or instance in Salesforce. |
| Maximum number of real-time insights |
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Real-time insights can only be built from real-time data graphs. |
| Maximum number of real-time insight fields (dimensions and measures) |
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This limit is for the total number of dimensions and measures in the real-time insight. The primary key for the root node of the real-time data graph will automatically be added to the real-time insight and can’t be removed. This dimension will count as one of your max fields. |
Code Extension Guidelines and Limits (Beta)
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum custom code deployment package size (zipped) |
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| Maximum runtime (duration) of a custom script before it's canceled by the system |
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| Retention period of custom code logs stored in a DLO |
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Data Actions Guidelines and Limits
Data Explorer Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Total number of columns queried at a time |
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| Total number of rows displayed per page |
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Data Federation Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of external data lake objects (DLOs) per org | See Data Services Billable Usage Types for Data 360 | A limit on the number of external DLOs hasn’t been defined. Usage of external DLOs can impact billing. |
Data Graphs Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of data graphs per org |
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| Maximum number of draft data graphs per org |
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| Scheduled data graph refreshes per day |
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Standard data graphs can be set to refresh automatically every 30 minutes, four hours, daily, weekly, or monthly. You can also refresh them manually whenever you want. Real-time data graphs refresh instantly for active sessions. The lakehouse version of the real-time data graph refreshes every 1 hour. |
| Maximum number of records across all data model objects and calculated insights included in a data graph |
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Including more records in a data graph impacts data graph refresh times and query response times. | |
| Maximum size of a real-time data graph |
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Performance may degrade if the size of the data graph exceeds 200 KB. This can affect refresh times and query response speeds. | |
| Maximum number of objects per data graph |
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The data graph’s primary data model object, related data model objects, and calculated insights count toward this limit. |
| Maximum number of fields per data model object that can be included in a data graph |
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Primary key, foreign key, and key qualifier fields aren’t included in this limit. |
| Maximum number of measures per calculated insight that can be included in a data graph |
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| Maximum number of total fields and measures that can be included in a data graph |
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Primary key, foreign key, and key qualifier fields aren’t included in this limit. |
| Maximum number of engagement events in a data graph |
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The effective maximum limit on engagement events in a data graph is the lesser of the number of events or age of the event. |
| Maximum age of engagement data included in a data graph |
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The effective maximum limit on engagement events in a data graph is the lesser of the number of events or age of the event. |
| Maximum number of levels that data model objects (DMO) can be nested below the primary DMO in a data graph |
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Levels are represented as a tree structure in the data graphs editor. The nesting tree including the primary DMO can have a total of 6 levels. |
| Maximum number of records included per DMO |
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The default limit is 100 records for sorting records per DMO in a data graph. You can adjust this limit up to 1,000 records. |
Data Ingestion Guidelines and Limits
General
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of fields per data stream |
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| Maximum number of fields of a single type in a data stream |
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| Total number of CRM custom objects | See Data Services Billable Usage Types for Data 360 | This limit applies to the number of custom objects ingested from each connected CRM org. | |
| Total number of CRM orgs that can be connected to Data 360 |
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| Total number of data models |
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| Total number of data streams |
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| Total number of data lake objects (DLOs) |
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This limit applies to data lake objects created as part of data streams or in a standalone manner. |
| Total Number of Marketing Cloud Personalization (Interaction Studio) datasets per instance |
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| Maximum number of rows for a Marketing Cloud Engagement Data Extension full extract |
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GCS, Azure, and S3 Bulk Ingestion
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Optimal number of file rows when creating S3 data streams |
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When creating an S3 data stream, you may need to use a file smaller than the data you’d like to ingest. The smaller file should contain the same headers and about 1,000 rows. Once the data stream is created, larger files can be placed within the file path, maintaining that they fall within set limits. | |
| Optimal size per CSV file |
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Sometimes, particularly for Day 0 loads, it’s necessary to move large data volumes. The two parameters maximum file size and maximum files per scheduled run aren’t intended to be stretched to their respective maximums concurrently. Rather consider some tradeoffs between the two extremes and refer to the other limit guidelines for more context. | |
| Optimal size per Parquet file |
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| Maximum number of files per scheduled run |
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| Maximum size per uncompressed CSV file |
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| Maximum size per compressed CSV file |
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Compressed CSV files aren’t splittable, meaning that they don't allow for parallel processing and their usage is therefore discouraged. If sending in a compressed file, it must be a single file per zip. | |
| Maximum size per uncompressed parquet file |
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We recommend you to use the parquet compression capabilities to reduce file size. | |
| Maximum size per compressed parquet file |
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Compressed parquet files are splittable and support parallel processing of ingestion. There are several native compression options. Learn more about supported compression formats in Supported File Formats in Data 360. | |
| Maximum data size for upsert |
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When a data stream is on upsert, it’s best not to exceed a 50-GB aggregate across all files in the single run. This number is strongly influenced by the number of distinct data dates present in the table, the overall size of the table, and several other factors such as the number of columns. As these variable inputs increase you may experience performance degradation. For larger target tables and larger upsert ingestions, we strongly recommend using engagement tables and selecting an engagement date field that contains many distinct dates. Not using engagement nor selecting a high cardinality date field may cause performance degradation. |
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| Maximum data size for full refresh |
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Data size is the sum of all file sizes for a single datastream job. When a data stream is set for full refresh, it’s best not to exceed 1000 GB for all files in a single run. This number is strongly influenced by the number of distinct data dates present in the table, the overall size of the table, and several other factors such as the number of columns. As these input variables increase you may experience performance degradation. | |
| Maximum number of characters for a single cell |
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Local File Upload
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of characters for a single cell in a local file upload |
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| Supported delimiters |
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| Header row requirements |
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| Unsupported refresh of data streams |
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| Maximum number of data streams created from a local file upload |
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| Unsupported file or column names |
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| Primary key uniqueness restrictions |
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We recommend that your primary key column is unique before uploading a local file. |
SFTP Ingestion
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum size per file |
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The SFTP Connector can load up to 1,000 files that are less than 2 GB but totaling no more than 30 GB per data stream run. If you have more data, you can use upsert mode for consecutive runs. |
| Maximum number of files included in a scheduled run |
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| Maximum data per data stream run |
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| Maximum size limit for file allowed during field analysis |
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| Maximum file for PGP-encrypted schema file analysis |
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| Maximum object size for fields |
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| Maximum total size allowed for manual extract |
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| Maximum total number of files allowed for manual extract |
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Data Model Object Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Fields per data model object |
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Both custom and system fields are counted toward this limit. |
| Maximum number of data model objects |
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| Maximum number of custom relationships per data model object |
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Data Shares Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Total number of data shares per org |
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| Total number of data share targets per org |
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This limit isn’t applicable for Salesforce Data 360 data share targets. |
| Maximum number of objects included per data share |
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Data Transforms Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Total number of streaming data transforms per org |
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| Maximum number of characters in a streaming data transform SQL statement |
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| Maximum number of batch transforms that can be created in an org |
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Contact your Account Executive to adjust this limit. |
| Maximum runtime (duration) of a batch transform job before it’s canceled by the system |
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| Maximum concurrent batch transforms that can be run at a time |
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Document AI Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum size of unstructured data files for Document AI processing—PDF, JPEG, JPG, and PNG |
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LLM Token consumption varies based on the data density and complexity in input file and the generated output. These limits apply to the UI and API for extracting data and schemas. |
| Maximum number of pages per PDF for Document AI processing |
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| Maximum number of requests per minute for schema extraction |
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| Maximum number of fields the root object and every table can have when creating a document schema config |
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| Maximum number of fields in a schema tree when calling the data extraction API with an inline schema |
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AI Model Builder Guidelines and Limits
Identity Resolution Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Total number of identity resolution rulesets |
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This limit is enforced in the UI. All profile records processed by all active rulesets are summed when calculating billable usage. To avoid excess credit consumption, we recommend deleting unneeded rulesets. |
| Maximum scheduled job frequency per ruleset |
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Because the time of day can vary, ruleset jobs can occasionally run more than once in a 24-hour period. Scheduled ruleset jobs are skipped if there are no changes to source data, object mappings, or ruleset configurations. This limit is enforced automatically and isn't configurable. |
| Maximum number of ruleset jobs in any 24-hour period |
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Ruleset jobs don’t run if there are no changes to source data, object mappings, or ruleset configurations, or if you’ve already run 4 ruleset jobs in the last 24 hours. |
| Maximum number of source profiles that can be unified into a single unified profile |
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Large profiles usually result from poor data quality or match rules that are too broad. To reduce the number of matching records, clean your data or refine your match rules. |
| Maximum size of source records processed in a ruleset |
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Records that are larger than 15 KB are skipped when rulesets run. |
| Maximum number of match rules per ruleset |
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| Maximum number of match criteria per match rule |
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| Maximum combined character count of values reviewed by a match rule |
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If the sum of characters of values being matched by a single match rule is greater than 500, some values will be truncated during matching. This can result in incorrect matches. |
| Match methods used during real-time matching |
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All match rules are evaluated using the Exact or Exact Normalized match methods during real-time matching. The select match method is used during scheduled matching. |
| Maximum number of individual profile identifiers included in a unified profile |
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The source profile identifiers that can be included in a real-time data graph are further limited by data source.
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| Maximum number of engagement events included in a unified profile |
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See also Scheduled and Real-Time Matching in Identity Resolution |
Intelligent Context Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of PDF files that can be uploaded |
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| Maximum size of PDF files that can be uploaded |
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Private Connect for Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of private network routes |
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Additional private network routes are available for purchase. |
Real-Time Insights Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of real-time insights |
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Real-time insights can only be built from real-time data graphs. |
| Maximum number of real-time insight fields (dimensions and measures) |
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| Maximum number of related-DMOs |
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Segmentation Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Total number of active segments |
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An active segment is a created segment with all functionality available. These limits are enforced by the UI. Learn more in Create a Segment in Data 360 and Segment Types and Statuses. |
| Total number of attributes with value suggestions |
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Value suggestions can be enabled for up to 500 attributes for your entire org. Learn more in Use Value Suggestions in Segmentation. |
| Total number of standard concurrent publishes |
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| Total number of filters |
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You can have up to 50 filters each in the Include and Exclude tabs. Learn more in Segment Your Data in Attributes. |
| Total number of months that events are queried for standard segments |
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The segmentation event limit is 24 months or less. This limit is enforced by the UI. For scheduled and manual publishes, segments error if a date range goes past the 24-month range. To run the segment again, adjust your event dates to fit that range. |
| Maximum number of scheduled publishes per standard segment per day |
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This limit is enforced by the UI. Learn more in Publish a Segment in Data 360. |
| Maximum number of rapid segments |
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| Total number of rapid concurrent publishes |
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| Total number of days that events are queried for rapid segments |
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The segmentation event limit is 7 days. This limit is enforced by the UI. For scheduled and manual publishes, segments error if a date range goes past the 7-day range. To run the segment again, adjust your event dates to fit that range. | |
| Maximum number of scheduled publishes per rapid segment per day |
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| Maximum number of real-time segments |
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| Maximum number of engagement data model objects included in a real-time segment |
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| Maximum number of streaming events included in a real-time segment |
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| Maximum levels of nested segments in a real-time segment |
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| Exclusion in a real-time segment |
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| Total number of processed records for rapid segments |
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This limit is for records processed for a rapid segment, which is the sum of records present in the data streams associated with the segment. This limit isn’t associated with the segment population. |
| Maximum number of Einstein segments created per month |
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The default limit is 20. | |
| Maximum number of waterfall segments |
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This limit is enforced by the UI. Learn more in Create a Waterfall Segment. |
Streaming Insights Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Aggregation time window |
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Learn more about the differences between Streaming Insights and Calculated Insights. |
| Total number of dimensions |
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For Streaming Insights, window start and window end are required dimensions and are included in the total dimension limit. |
| Total number of measures |
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Measures can use Count and Sum functions only. |
| Total number of Streaming Insights |
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| Unsupported features |
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| Supported primary DMO objects |
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Primary objects are filtered DMOs created from any of these streaming connectors:
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| Allowed joins |
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During the identity resolution process, unified objects from the Individual DMO include these objects:
Joins on objects unrelated to Individual or objects related to Account aren't allowed. |
Unstructured Data and Search Index Guidelines and Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum size of unstructured data files - TXT or HTML formats |
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Files larger than 4 MB are added to unstructured data lake objects and unstructured data model objects, but they aren’t chunked or vectorized. |
| Maximum size of unstructured data files - PDF, Excel, PowerPoint, Word, RTF, CSV, XML, Email, and Message formats |
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Files larger than 100 MB are added to unstructured data lake objects and unstructured data model objects, but they aren’t chunked or vectorized. |
| Maximum size of unstructured data files - audio and video |
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| Maximum size of unstructured data files - image formats |
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| Maximum number of search indexes per Data 360 instance |
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| Maximum number of fields that can be selected for pre-filtering |
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With pre-filtering you can enhance a search index configuration by adding fields from an object or related objects to give users more ways to filter their searches. |
| Maximum query filter length in a hybrid search query |
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| Maximum query filter clauses in a hybrid search query |
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| Maximum number of terms in the IN clause in a hybrid search query |
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| Maximum number of results for a hybrid search query |
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| Maximum number of results for a vector search query |
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| Maximum amount of unstructured data that can be added to an enriched index |
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| Search Index processing time when enriched indexing is enabled |
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Processing time varies based on LLM processing. Datasets smaller than 200 MB are processed within 2 hours. |
API Guidelines and Limits
The concurrent request and query limits of Data 360 APIs are independent from the concurrency limits governing the Salesforce platform APIs.
API Queries
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Total number of rows queried at a time in Query Editor |
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| Maximum timeout |
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The HTTP 408 status code indicates a timeout. |
| Total number of queries per day for Query API and Insights API | See Data Services Billable Usage Types for Data 360 | Applies to Query API v1 and v2. | |
| Total number of queries per day for Profile API | See Data Services Billable Usage Types for Data 360 | ||
| Total number of queries per month for Profile API | See Data Services Billable Usage Types for Data 360 |
Ingest Bulk API Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| API usage limits |
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After each request, your app must check the response code. The HTTP 429 Too Many Requests status code indicates that the app must reduce its request frequency. |
| Bulk job retention time |
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Open bulk jobs with the status of Open or Upload Complete that are older than 7 days are deleted from the ingestion queue. |
| Maximum number of files per job |
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| Maximum payload size |
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Referring to the CSV files uploaded via Bulk API. |
| Number of requests or jobs allowed per hour |
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| Number of concurrent jobs per connection per object |
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A job must be associated with a specific connection, and every connection is associated with a specific schema that defines object(s). A connector can support multiple connections. | |
| Maximum number of concurrent jobs per org |
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Ingest Streaming API Limits
These limits and guidelines are for streaming ingestion across Mobile and Web SDK and Ingestion API.
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| API usage limits |
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After each request, your app must check the response code. The HTTP 429 Too Many Requests status code indicates that the app must reduce its request frequency. |
| Expected latency for Ingestion API |
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Data is processed asynchronously approximately every 3 minutes. The latency means that received records are processed every two minutes, but depending on the data volume and how busy the scheduler is, it can take additional time until the data is committed to storage and available for consumption. |
| Expected latency for Mobile and Web SDK applications |
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To reduce processing power and bandwidth requirements, mobile events are queued on the device. |
| Maximum number of records that can be deleted via Streaming API deletion |
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| Maximum payload size per request |
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JSON data uploaded via Streaming API have a maximum body size of 200-KB per request. The HTTP 403 Forbidden status code indicates that the API request exceeded the 200-KB limit. |
| Total number of requests per second across all Ingestion API object endpoints |
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Profile API Limits
| Feature or Function | Guidelines and Limits | Hard Limit? | Additional Information and Resources |
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| Maximum number of records returned per call |
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| Total number of fields per record |
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- Developer Edition Limits and Guidelines for Data 360
Developer Edition orgs with Agentforce and Data 360 have certain limits and guidelines for Data 360 usage.



