Create an actionable 360-degree customer view using data from 200+ apps and systems.

Bring in data from your favorite apps using 200+ connectors, powered natively by Data Cloud or offered through MuleSoft's Anypoint Exchange. New connectors are added regularly to make it easier to flow data in and out of Data Cloud, providing more value when unifying your data.

Snowflake
Databricks
Google BigQuery
Amazon Redshift
Microsoft Azure
Mongodb
Redis
Workday
Survey Monkey
Zendesk
Service Now
Amazon Kinesis
Meta Ads
Google Ads
Jira
Oracle Net Suite
IBM Cloudant
+ more
A flowchart showing data flow in and out of Data Cloud from different apps and systems.

Bring data in.
Share data out.

Data Cloud's open architecture helps bring data in from your favorite apps and systems and share data out to popular destinations like Snowflake, Google Ads, or Meta Ads.

A flowchart showing structured and unstructured data flowing in and out of Data Cloud.

Activate structured and unstructured data.

Put data from any source to work. With Data Cloud, you can leverage a wide range of connectors to handle any format of data stored across your enterprise.

You choose how to connect your data.

Data from multiple apps uploading into Data Cloud.

Batch

For planned data transfers, the batch method processes data individually and at a given time by completing one before the next.

Data from multiple apps uploading into Data Cloud.

Streaming

Ingest, process, and manage continuous streams of data efficiently as the data flows through the system in a continuous manner.

Data from multiple apps uploading into Data Cloud.

Sub-second Real Time

Ingest data and process new changes to data sources in near real-time to unlock hyper-personalization.

Get hands-on practice and free, guided learning on Trailhead.