| The name of the base system (platform): | Amazon Web Services (AWS) |
| Developers: | Amazon |
| Date of the premiere of the system: | April, 2020 |
| Technology: | Cloud Computing, PaaS - Platform As A Service - Business platform as service, Development tools of applications |
2020: Start of service
On April 22, 2020 Amazon started AppFlow service through which developers can implement data integration between infrastructure Amazon Web Services (AWS) and others SaaS- services, including with Google Analytics Marketo Salesforce ServiceNow Slack, Snowflake and Zendesk.
Amazon calls the service completely managed and specifies that it helps to create and automate bidirectional data streams without the need for writing of the special code. These flows can be initiated by specific events in preset time or on demand.
Though Amazon also says that AppFlow provides data integration from one service to another and back, the main attention in service is paid to transfer of information from third-party by solutions SaaS in AWS services for the further analysis. Several tools are for this purpose provided. In particular, innovation supports private Internet connections through Amazon PrivateLink.
As the senior consultant of AWS Martin Beeby notes in the blog, developers spend huge amount of time for creation of the user integration for data exchange between Aamazon and applications of SaaS which they use.
 | If requirements to data change, then it is necessary to introduce expensive and difficult amendments in integration — he explains. — The companies which have no so magnificent engineering resources can import and export manually data from applications that takes away a lot of time, can lead to date leak and human errors. |  |
Amazon AppFlow solves this problem. However the service manages is expensive: each data stream stands up $0.01 for a cycle plus a payment for data processing which begins with two cents per one gigabyte.
According to analysts of Constellation Research, the AppFlow service facilitates work to developers, but makes them more tied to AWS.[1]
Notes
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