Dremio vs Amazon AppFlow: What are the differences?
Developers describe Dremio as "Self-service data for everyone". It is a data-as-a-service platform that empowers users to discover, curate, accelerate, and share any data at any time, regardless of location, volume, or structure. Modern data is managed by a wide range of technologies, including relational databases, NoSQL datastores, file systems, Hadoop, and others. On the other hand, Amazon AppFlow is detailed as "*Securely integrate apps and automate data flows at any scale, without code *". 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.
Dremio and Amazon AppFlow belong to "Big Data Tools" category of the tech stack.
Some of the features offered by Dremio are:
- Democratize all your data
- Make your data engineers more productive
- Accelerate your favorite tools
On the other hand, Amazon AppFlow provides the following key features:
- Point and click user interface
- Native SaaS integrations
- Enterprise grade data transformations
