S2 is described as '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' and is an app in the backup & sync category. There are more than 10 alternatives to S2 for a variety of platforms, including Mac, Linux, SaaS, Self-Hosted and Web-based apps. The best S2 alternative is Talend, which is free. Other great apps like S2 are Drasi, Apache Spark, Fluvio and Apache Hadoop.
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...
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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.
Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to work with thousands of computational independent computers and petabytes of data.
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.
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.
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
An end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data via DataOps.
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm and written in Python.
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
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