Compare Druva Cloud Platform vs Amazon AppFlow

Summary

Druva Cloud Platform is a SaaS data protection service to manage enterprise data across cloud, data centre and endpoint workloads. The software is infinitely scalable and can be configured as required to meet the requisite business needs. Thus, new inclusions can be made in the solution without making any notable changes in the backup system. It also does not raise the need for installing new applications for any purpose. Moreover, the highly integrated cloud platform updates itself regularly to incorporate every essential feature available in the market of data protection. Druva Cloud Platform is aimed at improved customer experiences and thus, clients have the benefit of a simple yet highly intuitive interface that is deployed in a minimum of fifteen minutes. Intelligence is also one of the platform’s notable features as it stores data in a way that prevents duplication and encourages automatic long-time retention. With policy-based management to administer operations, clients can stay in control of their data. Federated search and advanced security measures, together ensure restricted access to every bit of the data in concern. ..show more

Amazon AppFlow 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. AppFlow easily scales up without the need to plan or provision resources, so you can move large volumes of data without breaking it down into multiple batches. All data flowing through AppFlow is encrypted at rest and in transit, and you can encrypt data with AWS keys, or bring your own custom keys. ..show more

Customer Data Helps in recording, accessing and managing customer information

Data Analysis Helps in analyzing stored raw data and converting them into useful reports

Data Capture Helps in gathering and extracting data from documents and transforming them into computer-readable form

Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Migration Facilitates transferring or shifting data between computer storage types and or file formats

Data Quality Control Helps in monitoring the quality of data input and processed

Data Security Ensures secure storage of data by encryption

Information Governance Allows adopting a holistic approach to govern or manage the corporate data

Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers

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• Dynatrace
• Slack
• Google Analytics
• Adobe Marketo Engage
• Salesforce
• Singular
• Amplitude

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