Salesforce Data Cloud Credit Calculator

How to Use This Calculator

  1. Enter Rows Processed

    Start by inputting the number of rows processed in each section, where applicable.

  2. View Credit Consumption

    Instantly see the credits consumed on both a daily and annual basis.

  3. 3-Year Projection

    Analyze long-term credit usage with our 3-year projection feature.

  4. Interactive Visualization

    Explore the credit distribution through our dynamic bubble chart.

  5. Adjust and Refine

    Fine-tune your inputs to model different scenarios and optimize your Data Cloud strategy.

Tip: Use the sticky header to track your total credits as you scroll, and access detailed breakdowns in the side drawer.

Credit Calculator

Connect Harmonize & Unify

Batch Data Pipeline

Credits / Units
0 / 0
Credits / Units
0 / 0
One-time Day 0 credits

Example Breakdown
Scenario Rows Credits
Daily small load 100,000 200
Weekly large load 5,000,000 10,000

Usage Details
Processing Rate 1M events = 2,000 credits
Note Usage is calculated based on rows processed.
Connect Harmonize & Unify

Streaming Data Pipeline

Credits / Units
0 / 0

Example Breakdown
Scenario Events/Hour Credits
Low Volume Web Events 1,000 120
Mobile App Analytics 5,000 600
High Volume API Events 10,000 1,200

Usage Details
Processing Rate 1M events = 5,000 credits
Note Usage is calculated based on rows processed.
Connect Harmonize & Unify

Batch Profile Unification

Credits / Units
0 / 0
Credits / Units
0 / 0
Note: Initial Unification Load is for one-time Day 0 loads. These credits are only added to the total annual credits summary on a one-time basis and are not included in daily credit calculations.

Example Breakdown
Scenario Profiles Credits
Initial run 1,000,000 100,000
Subsequent run (10% modified) 100,000 10,000
Ruleset change 1,000,000 100,000
Note: 1M profiles = 100,000 credits. Initial run processes all profiles, subsequent runs only new/modified profiles. Ruleset changes trigger full refresh.

Usage Details
Processing Rate 1M profiles = 100,000 credits
Note Usage is calculated based on initial runs and subsequent modifications.
Connect Harmonize & Unify

Batch Data Transform

Credits / Units
0 / 0

Example Breakdown
Scenario Rows Credits
Daily small transform 100,000 40
Weekly large transform 5,000,000 2,000

Usage Details
Processing Rate 1M events = 400 credits
Note Usage is calculated based on rows processed
Connect Harmonize & Unify

Streaming Data Transform

Credits / Units
0 / 0

Example Breakdown
Scenario Rows Credits
Real-time Custom Profile Enrichment 500,000 2,500
Live Event Data Normalization 300,000 1,500
Streaming Transaction Processing 200,000 1,000

Usage Details
Processing Rate 1M rows = 5,000 credits
Note Usage is calculated based on streaming data processed.
Connect Harmonize & Unify

Unstructured Data

Unstructured Data Processing

You can ingest unstructured data in the form of documents, images, etc via any connector in Data Cloud into a DLO

≈ 0 chunks
Credits / Units
0 / 0

Accessing the Data

Query Usage Estimation
Daily Credits
0
Annual Credits
0
View Detailed Breakdown
Vector Rows
0
Rows per Query
Includes chunks and vectors only
0
Daily Queries
0
Daily Rows Processed
0

A search index can be used to either create a no-code retriever or to perform a vector/hybrid search using the query API

Data Cloud will take the referenced data, break it into semantically related "chunks" and then generate searchable vectors. These are then used to find similar items. The search index retains this information.

Usage Examples

Tap to view

Small Knowledge Base

6,000
uses 21 credits /day

Perfect for teams getting started with AI-powered search

10 users × 10 queries/day 100 MB

Medium Document Repository

30,000
uses 525 credits /day

Ideal for departments with moderate document volumes

50 users × 10 queries/day 500 MB

Enterprise Content Hub

60,000
uses 2,098 credits /day

Suitable for large organizations with extensive content

100 users × 10 queries/day 1,000 MB
Quick Tips:
• Processing credits: one-time cost
• Query credits: daily usage
• Hybrid search costs more
• Storage = ~3× data size

Usage Details
Processing Rate 1MB = 60 credits
Note Usage is calculated based on data size and processing type. Query credits based on daily usage are additional beyond the processing.
Connect Harmonize & Unify

Data Federation & Sharing Rows

Credits / Units
0 / 0
Credits / Units
0 / 0

Example Breakdown
Scenario Records Credits
Federation (any region) 500,000 35
Federation (large) 5,000,000 350
Sharing (same region) 7,500,000 0

Usage Details
Processing Rate Federation always consumes credits
Note Same-region sharing has no credit consumption
E2E Real-Time

Sub-Second Real Time Events

Credits / Units
0 / 0

Example Breakdown
Scenario Events Credits
Profile Events 3,000 210
Engagement Events 10,000 700
API Calls 20,000 1400

Usage Details
Processing Rate 1M events = 70,000 credits
Note Usage is calculated based on events processed in sub-second real-time layer, including web/mobile SDK traffic.
Analyze & Predict

Batch Calculated Insights

Credits / Units
0 / 0

Example Breakdown
Scenario Records Credits
Daily small load 100,000 1.5
Weekly large load 5,000,000 75

Usage Details
Processing Rate 1M records = 15 credits
Note Usage is calculated based on batch data ingested and rows processed.
Analyze & Predict

Streaming Calculated Insights

Credits / Units
0 / 0

Example Breakdown
Scenario Records Credits
Small volume 250,000 200
Large volume 2,500,000 2000

Usage Details
Processing Rate 1M records = 800 credits
Note Usage calculated based on records processed. Query structure and total records in queried objects affect processing count.
Analyze & Predict

Inferences

Credits / Units
0 / 0

Example Breakdown
Scenario Description Inferences Credits
Batch Prediction 100k records 100,000 350
Flow Predictions 1k/day × 30 days 30,000 105
LLM Generation 5k generations 5,000 17.5

Usage Details
Processing Rate 1M inferences = 3,500 credits
Note Usage is calculated based on number of inferences made. Each inference is one AI model output.
Act

Data Queries

Credits / Units
0 / 0

Example Breakdown
Scenario Records Credits
Small query 250,000 0.5
Large query 2,500,000 5

Usage Details
Processing Rate 1M records = 2 credits
Note Usage calculated based on records processed. Query structure and total records in queried objects affect processing count.

Total Daily Credits

0

Total Annual Credits

0

Credit Consumption Projection (3 Years)

Yearly Breakdown

Year 1
0
credits
(Includes one-time loads)
Year 2
0
credits
Year 3
0
credits

Annual Credit Distribution

No credit consumption data available.

Optimization Tips

Data Cloud Credit Calculator

Annual Credit Usage

0 500K 1M+

0 credits used

Credit Breakdown

No credit consumption data available.

Calculator Features

  • Scenario Modeling: Estimate credit consumption across various usage scenarios
  • Consumption Projections: Generate daily and annual estimates
  • Long-term Forecasting: Provide 1-3 year projections
  • User-friendly Interface: Quickly create and adjust estimates
  • Rate per Credit: A default rate is applied to each credit type. Adjust as needed.

Note: This tool is for estimation purposes only. Actual consumption may vary.

Meet the Creator

I'm Isaac, a 9X certified Salesforce Marketing Cloud & Data Cloud Consultant! 👋 I'm enthusiastic about the future of Data Cloud and created this calculator to help with estimation efforts.

Connect on LinkedIn Email me Schedule a consultation

FAQ

What are Data Cloud credits?

Data Cloud credits are the unit of measurement for usage in Salesforce Data Cloud. They represent the consumption of various Data Cloud features and capabilities.

How are credits calculated?

Credits are calculated based on the volume of data processed, stored, or queried in Data Cloud. Different operations consume credits at different rates.

Can I monitor my credit usage?

Yes, you can monitor your credit usage through the Salesforce Digital Wallet.

Latest Update

  • v0.1.0: Updated Unstructured Data Processing Flow
Full changelog

Latest Update

  • v0.1.0: Updated Unstructured Data Processing Flow
Full changelog