Process Large Data Sets Smoothly with Flow Designer Data Streams!

[Harsh_Deep]

✨ What are Data Streams?
Data Streams allow you to stream records in batches into a flow, instead of pulling all data at once. This makes your flows more scalable and reduces memory and timeout errors.

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⚡ When to Use Data Streams?
✅ When sending bulk emails or notifications to thousands of users.
✅ When archiving or mass-updating large sets of records (e.g., closed incidents older than 1 year).
✅ When syncing big record sets to an external system.

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💥 How to Use Data Streams in Flow Designer:

1️⃣ Create a Data Stream Action
Go to Flow Designer > Action and select type Data Stream Action.

2️⃣ Configure Your Query Logic
Define which table to pull records from and set filtering conditions (similar to GlideRecord queries).

3️⃣ Use Batches
Set a batch size (e.g., 100 or 500) to control how many records are processed per execution.

4️⃣ Build Your Flow with Stream Input
When building your flow, choose Data Stream Input as a trigger or step. Then define what should happen to each batch (e.g., update fields, send notifications).

5️⃣ Test and Monitor
Run your flow and use Execution Details to monitor how each batch is processed.

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⚡ Pro Tip:
Combine Data Streams with Flow Logic (If, Switch, For Each) to handle different business rules per record or per batch!

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✅ Why Use Data Streams?

• 💪 Scalability: No more crashing flows or incomplete updates on big data sets.

• 🚀 Performance: Keeps your instance responsive by breaking down heavy operations.

• 🔒 Reliability: Reduces risk of timeouts and ensures consistent data processing.

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🔥 With Data Streams, you can transform how you handle large data operations in ServiceNow — no more slow bulk jobs or manual scripts. It’s all clean, low-code, and flow-powered!

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💬 Ready to supercharge your automation? Try Data Streams in your next flow and watch your performance soar!