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Amazon AppFlow

Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between SaaS applications like Salesforce, SAP, Zendesk, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift, in just a few clicks.

1 APIs 1 Capabilities 10 Features
AWSConnectorsData FlowData IntegrationETLIntegrationSaaSData Transfer

APIs

Amazon AppFlow API

The Amazon AppFlow API enables programmatic creation and management of data flows between SaaS applications and AWS services, including configuring connectors, flow definitions,...

Capabilities

Amazon AppFlow Data Integration

Workflow capability for data engineers and integration architects who need to orchestrate, monitor, and manage SaaS-to-AWS data flows using Amazon AppFlow. Combines flow lifecyc...

Run with Naftiko

Features

No-Code Data Flows

Create data flows between SaaS applications and AWS services without writing code.

Scheduled Transfers

Schedule data flows to run at configurable intervals using cron or rate expressions.

Event-Triggered Flows

Trigger data flows in response to business events from connected SaaS applications.

On-Demand Execution

Manually trigger data flows for ad-hoc data transfers.

Data Transformations

Apply field mapping, filtering, masking, merging, and arithmetic transformations during transfer.

Incremental Data Pull

Transfer only new or changed records since the last flow run using datetime-based incremental pulls.

Custom Connectors

Register custom Lambda-backed connectors for proprietary or unsupported data sources.

Data Catalog Integration

Automatically catalog transferred data in AWS Glue Data Catalog for discoverability.

KMS Encryption

Encrypt data in transit and at rest using AWS KMS customer-managed keys.

Private Link Support

Transfer data privately over AWS PrivateLink without traversing the public internet.

Use Cases

Customer 360

Consolidate marketing, sales, and support data from Salesforce, Marketo, and ServiceNow into Amazon Redshift or S3 for unified customer analytics.

ML Data Preparation

Ingest SaaS data into Amazon SageMaker Data Wrangler for machine learning feature engineering and model training.

Data Lake Ingestion

Load SaaS application data into Amazon S3 data lakes for centralized analytics and reporting.

Real-Time Analytics

Transfer Salesforce data in near real-time to Amazon Redshift for operational dashboards and BI reporting.

Cross-Application Automation

Automate workflows by triggering data flows when records are created or updated in SaaS applications.

Data Compliance

Securely extract and archive regulated data from SaaS applications into encrypted AWS storage for compliance auditing.

Integrations

Salesforce

Bidirectional data transfer between Salesforce CRM and AWS services.

SAP

Transfer data from SAP ERP systems via SAPOData connector.

ServiceNow

Sync ServiceNow ITSM data to AWS for analytics and reporting.

Slack

Export Slack workspace data to Amazon S3.

Zendesk

Transfer Zendesk customer support tickets and data to AWS.

Marketo

Import Marketo marketing automation data into Amazon Redshift or S3.

Google Analytics

Export Google Analytics data to Amazon S3 for custom analytics pipelines.

Amazon S3

Use Amazon S3 as both source and destination for AppFlow data flows.

Amazon Redshift

Load SaaS data directly into Amazon Redshift for SQL analytics.

Amazon EventBridge

Send AppFlow data to Amazon EventBridge for event-driven architectures.

AWS Glue

Catalog AppFlow output data automatically in AWS Glue Data Catalog.

Amazon SageMaker

Feed SaaS data into SageMaker Data Wrangler for ML preparation.

Semantic Vocabularies

Amazon Appflow Context

61 classes · 120 properties

JSON-LD

API Governance Rules

Amazon AppFlow API Rules

34 rules · 17 errors 15 warnings 2 info

SPECTRAL

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