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Amazon AppFlow

Securely integrate apps and automate data flows at any scale, without code
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What is Amazon AppFlow?

It is a fully managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications like Salesforce, Marketo, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift, in just a few clicks. With AppFlow, you can run data flows at nearly any scale at the frequency you choose - on a schedule, in response to a business event, or on demand. You can configure data transformation capabilities like filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps. AppFlow automatically encrypts data in motion, and allows users to restrict data from flowing over the public Internet for SaaS applications that are integrated with AWS PrivateLink, reducing exposure to security threats.
Amazon AppFlow is a tool in the Big Data Tools category of a tech stack.

Who uses Amazon AppFlow?

5 developers on StackShare have stated that they use Amazon AppFlow.

Amazon AppFlow Integrations

Slack, Google Analytics, Datadog, Zendesk, and Marketo are some of the popular tools that integrate with Amazon AppFlow. Here's a list of all 9 tools that integrate with Amazon AppFlow.

Amazon AppFlow's Features

  • Point and click user interface
  • Native SaaS integrations
  • Enterprise grade data transformations
  • High scale data transfer
  • Data privacy defaults through PrivateLink
  • Custom encryption keys
  • IAM policy enforcement
  • Flexible data flow triggers
  • Easy to use field mapping
  • Built in reliability

Amazon AppFlow Alternatives & Comparisons

What are some alternatives to Amazon AppFlow?
Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
See all alternatives

Amazon AppFlow's Followers
23 developers follow Amazon AppFlow to keep up with related blogs and decisions.