What is Batch Sync?
Data synchronization that runs on a schedule, processing multiple records together at regular intervals rather than in real-time.
Batch sync collects changes over a period and processes them together - for example, syncing all new contacts every hour. It's more efficient for high-volume, non-time-sensitive data and easier on API rate limits. Batch sync is appropriate for reporting data, historical migrations, or scenarios where slight delays are acceptable. The tradeoff is latency - users don't see changes immediately. Many integrations combine both approaches: real-time for critical data, batch for everything else.
Related Terms
Real-Time Sync
Data synchronization that occurs immediately or near-immediately when changes happen, typically within seconds or minutes.
API Rate Limit
A restriction on the number of API requests that can be made within a specific time period, designed to prevent system overload.
ETL (Extract, Transform, Load)
A data integration process that extracts data from source systems, transforms it to fit business needs, and loads it into a destination system.
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