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Apache Beam®
Apache Beam lets you build and run unified data processing pipelines for both batch and streaming data, supporting multiple programming languages and cloud platforms.
Build data pipelines across clouds and engines
Apache Beam is an open source platform that helps you design and run data processing pipelines, whether you’re working with real-time or batch data. You can connect to a variety of data sources, work in your preferred programming language, and deploy your workflows on different engines like Apache Flink, Apache Spark, or Google Cloud Dataflow.
With Beam, you don't have to worry about the underlying infrastructure. Its unified model makes it easier to write, manage, and scale complex data workflows, whether your data lives on-premises or in the cloud. If you're building data integration processes, transforming large datasets, or need a flexible way to handle streaming data, Beam gives you the tools and documentation to get started quickly.
The site offers plenty of resources for beginners and advanced users alike, including quickstart guides, documentation, and a community for support and collaboration. Whether you’re a developer, data engineer, or just curious about modern data processing, Apache Beam provides a powerful way to simplify and unify your data workflows.
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Astronomer is a cloud platform for building, running, and monitoring data pipelines with Apache Airflow, making data workflows simple and reliable.
Apache Flume helps you collect, aggregate, and move large amounts of log data reliably with a flexible, fault-tolerant streaming architecture.
Rivery is a cloud-based platform for automating, integrating, and managing data pipelines, making it easy to move and transform data across systems.
PGSync lets you sync data from Postgres to Elasticsearch or OpenSearch, making it easy to keep your databases connected and up to date.
Apache NiFi lets you automate, process, and move data between systems with an easy-to-use interface for building secure and reliable data pipelines.
Apache Storm lets you process unbounded streams of data in real time. It's open source, supports any programming language, and is free to use.
Integrate.io lets you build and manage low-code data pipelines to unify, transform, and sync data across sources for analytics and business insights.
Snowplow helps organizations collect, manage, and use customer behavioral data to power AI, analytics, marketing, and digital experiences.
Mage AI lets you build, automate, and manage data pipelines easily with an intuitive interface and real-time data transformation features.
Apache Beam lets you build and run large-scale data pipelines for batch and streaming processing across multiple platforms using one unified programming model.
Dagster helps data engineers build, run, and manage data pipelines with modern orchestration tools for reliable and scalable data platforms.
Ascend.io helps you build and manage data pipelines with integrated AI agents, enabling faster data workflows, collaboration, and automation for teams.
Prefect helps you automate, monitor, and scale Python data workflows with easy orchestration, dynamic scaling, and built-in observability tools.
Luigi is a Python toolkit for building and managing complex batch pipelines, offering workflow automation, dependency handling, and clear documentation.
Striim lets you build and manage real-time data pipelines for analytics and business intelligence, helping you stream and integrate data at scale.
Apache Airflow lets you build, schedule, and monitor workflows. Easily automate complex processes and manage data pipelines at scale.
Apache Tez is an open-source framework for building complex data processing workflows on Hadoop, enabling efficient and flexible data pipelines.
Vector lets you collect, process, and route observability data quickly and easily. Build flexible data pipelines for logs and metrics across any platform.
DataChain offers tools for data management, preprocessing, experiment tracking, and ML model versioning to streamline large-scale AI data workflows.
Manage X.509 certificates for Kubernetes and OpenShift with this cloud-native tool, making secure certificate automation simple for your clusters.
Kata Containers offers open source software for running secure, lightweight virtual machines that integrate easily with container platforms and tools.
Apache Kafka is an open-source platform for building distributed streaming and messaging applications, trusted by major companies worldwide.
Azul delivers high-performance, secure Java platforms and tools for modern cloud enterprises, helping you optimize Java applications and runtime environments.
Printix lets you manage and secure all your company’s printing from the cloud, so you can print anywhere without print servers or complicated setup.
Explore tailored Microsoft Cloud solutions for industries like healthcare, finance, and government to help your organization streamline and innovate.
Project Atomic offered tools and resources for deploying and managing containers on next-gen operating systems, now guiding users to Fedora CoreOS.
Apache Mesos lets you manage datacenter resources as a single pool, making it easy to build and run scalable, fault-tolerant distributed systems.
Hazelcast is a unified real-time data platform that lets you process streaming data instantly, combining stream processing and fast data storage in the cloud.
Kubernetes-CSI offers community projects and resources to help developers add and manage Container Storage Interface (CSI) support in Kubernetes clusters.
NiftySOL provides secure, scalable cloud software for businesses in manufacturing, healthcare, and SMBs to boost productivity and simplify operations.
Worldwide Beam.incubator.apache.org Alternatives
Move data from over 140 sources to your database or warehouse in minutes with Stitch—no coding needed, fully automated, and cloud-based.
Ab Initio offers powerful tools for building, managing, and integrating data pipelines, helping businesses process and analyze data efficiently.
Knative offers tools for building, deploying, and managing serverless workloads on Kubernetes, helping developers create scalable cloud-native apps.
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