Apache Beam is described as 'Provides an advanced unified programming model, allowing you to implement batch and streaming data processing jobs that can run on any execution engine' and is an app. There are nine alternatives to Apache Beam for a variety of platforms, including Mac, Windows, Linux, Web-based and Self-Hosted apps. The best Apache Beam alternative is Talend, which is free. Other great apps like Apache Beam are Drasi, Fluvio, Duckle and Spring Cloud Data Flow.
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.
Drasi is a 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...
An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.
A visual data pipeline studio that runs on your laptop. Drag sources, transforms, validators, and sinks onto a canvas. Wire them together. Press Run. Duckle compiles the graph to SQL and executes it through a real columnar engine, with live previews, generated SQL on every node...
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.
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