Event Stream
Ingest your event data into RudderStack using cloud apps and SDKs.
RudderStack’s Event Stream pipeline offers a comprehensive solution for collecting real-time user event data and sending it to integrations across your stack, including cloud tools, data warehouses, and data processing tools.
Top Event Stream use cases include:
You can see how Event Stream pipelines work in this self-paced product tour:
Event Stream sources
Our Event Stream pipeline can ingest events from:
RudderStack offers a suite of versatile source-available SDKs designed to integrate seamlessly with your web, mobile, and server-side applications. These SDKs enable developers to reliably track and manage event data across various platforms, ensuring a secure and reliable data platform that scales with your technology stack.
Web SDKs
RudderStack provides source-available SDKs for robust and reliable web data collection. Our Web SDKs allow you to capture and send high-fidelity customer event data from your websites and web apps without compromising on site performance.
Mobile SDKs
Use the native RudderStack SDKs for the iOS, Android, and cross-platform development frameworks allowing you to harness device-specific functionalities and optimize mobile user engagement.
Server SDKs
Use the server-side SDKs to track event data from your backend applications and ensure secure, comprehensive event tracking for your server-side transactions with the ability to monitor system health at every step.
Cloud App sources
Ingest event data from your cloud apps and route it to the specified destinations with ease. RudderStack’s intelligent data pipelines can handle high volumes of data inflow, ensuring that your event data is collected seamlessly from various cloud applications and services.
Event Stream destinations
Once events are ingested, you can forward them to over 200 destinations in our integrations library, or to your own custom destinations (using the Webhook destination integration).
Browse the destination integration library.
Advanced features and use cases
This section covers two important advanced use cases you can implement on your Event Stream data - Transformations and Identity Resolution.
RudderStack can transform events in real-time using Python or JavaScript to customize your data flows. It can also ensure data integrity and consistency across your pipelines with centralized tracking plans that provide full visibility into your customer data’s journey.
User identification and identity resolution
You can also assign unique IDs for anonymous users via Identity Stitching and reconcile unified customer Profiles in your data warehouse.
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