Drasi is described as 'Data processing platform that simplifies detecting changes in data and taking immediate action. It is a comprehensive solution that provides built-in capabilities to track system logs and change feeds for specific events, evaluate them for relevance, and automatically' and is an app in the development category. There are eight alternatives to Drasi for a variety of platforms, including Linux, Web-based, Mac, SaaS and Windows apps. The best Drasi alternative is Talend, which is free. Other great apps like Drasi are Fluvio, Spring Cloud Data Flow, Google Cloud Dataflow and Amazon Kinesis.
Talend leverages the open source model to make data integration available to all types of organizations, regardless of their size, level of expertise or budgetary constraints. Talend’s solutions connect to all source and target systems and they can be downloaded at no cost.
Fluvio offers a real-time data streaming platform, flexible for Mac, Linux, and SaaS users and favored as the top Linux alternative to Drasi. Its open-source, free nature appeals to cost-conscious users, though some report issues affecting its fit as a Drasi substitute.
Spring Cloud Data Flow offers cloud-native microservice-based streaming and batch data processing, ideal for Cloud Foundry and Kubernetes, with flexible programming language support, integration using familiar tools, and powerful design options.
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.
Object storage has been nothing short of revolutionary. S3 broke ground in 2006 with simple storage operations on named objects – and 18 years later, S3 Express One Zone even allows appends. But ultimately, object storage is all about blobs and byte ranges.
Apache Beam provides an advanced unified programming model, allowing you to implement batch and streaming data processing jobs that can run on any execution engine.
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