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API StatusChangelog
Amazon AppFlow
ByAmazon AppFlowAmazon AppFlow

Amazon AppFlow

#247in Databases
Discussions0
Followers42
OverviewDiscussionsAdoption

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 Databases category of a tech stack.

Key Features

Point and click user interfaceNative SaaS integrationsEnterprise grade data transformationsHigh scale data transferData privacy defaults through PrivateLinkCustom encryption keysIAM policy enforcementFlexible data flow triggersEasy to use field mappingBuilt in reliability

Amazon AppFlow Pros & Cons

Pros of Amazon AppFlow

No pros listed yet.

Cons of Amazon AppFlow

No cons listed yet.

Amazon AppFlow Alternatives & Comparisons

What are some alternatives to Amazon AppFlow?

Apache Spark

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.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Flink

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.

Amazon Athena

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 Hive

Apache Hive

Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.

AWS Glue

AWS Glue

A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.

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Amazon AppFlow Integrations

Google Analytics, Slack, Dynatrace, Datadog, Zendesk and 4 more are some of the popular tools that integrate with Amazon AppFlow. Here's a list of all 9 tools that integrate with Amazon AppFlow.

Google Analytics
Google Analytics
Slack
Slack
Dynatrace
Dynatrace
Datadog
Datadog
Zendesk
Zendesk
Marketo
Marketo
Snowflake
Snowflake
Amplitude
Amplitude
Veeva
Veeva
Companies
0
Developers
9
ERKARÜ+3