Apache Beam vs. Stackable Comparison


Apache Beam Apache Software Foundation	Stackable	+	+
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About The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases.	About The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, OpenSearch, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Real-Time Data Streaming solution for businesses	Audience Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Apache Software Foundation Founded: 1999 United States beam.apache.org	Company Information Stackable Founded: 2020 Germany stackable.tech/
Alternatives Google Cloud Dataflow Google	Alternatives Stackable
Apache Storm Apache Software Foundation	Propertybook
Spark Streaming Apache Software Foundation	Canvas Credentials Instructure
Astra Streaming DataStax	Hercules Leisure Holding
Paraxia-Plus-10 Sciopt Enterprises View All	KAOSSILATOR PRO+ Korg View All
Categories Real-Time Data Streaming Supported	Categories Data Integration Supported Data Management Supported Data Warehouse Supported
	Show More Features Data Management Features Customer Data Not Supported Data Analysis Not Supported Data Capture Not Supported Data Integration Not Supported Data Migration Supported Data Quality Control Not Supported Data Security Supported Information Governance Not Supported Master Data Management Not Supported Match & Merge Not Supported Data Warehouse Features Ad hoc Query Not Supported Analytics Supported Data Integration Supported Data Migration Supported Data Quality Control Not Supported ETL - Extract / Transfer / Load Supported In-Memory Processing Not Supported Match & Merge Not Supported
Integrations Apache Airflow Not Supported Apache Druid Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Iceberg Not Supported Apache Kafka Not Supported Apache NiFi Not Supported Apache Spark Not Supported Apache ZooKeeper Not Supported Docker Not Supported Git Not Supported Kubernetes Not Supported MinIO Not Supported OpenSearch Not Supported Prometheus Not Supported PubSub+ Platform Supported Trino Not Supported ZenML Supported Show More Integrations View All 2 Integrations	Integrations Apache Airflow Supported Apache Druid Supported Apache HBase Supported Apache Hive Supported Apache Iceberg Supported Apache Kafka Supported Apache NiFi Supported Apache Spark Supported Apache ZooKeeper Supported Docker Supported Git Supported Kubernetes Supported MinIO Supported OpenSearch Supported Prometheus Supported PubSub+ Platform Not Supported Trino Supported ZenML Not Supported Show More Integrations View All 16 Integrations
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