Apache Beam

Apache Beam

Apache Beam is an open source, unified model for defining both batch and streaming data processing pipelines. It provides a simple, Java/Python SDK for building pipelines that can run on multiple execution engines like Apache Spark and Google Cloud Dataflow.
Apache Beam image
batch-processing streaming pipelines java python

Apache Beam: Open Source Unified Model for Batch & Streaming Pipelines

Apache Beam is an open source, unified model for defining both batch and streaming data processing pipelines. It provides a simple, Java/Python SDK for building pipelines that can run on multiple execution engines like Apache Spark and Google Cloud Dataflow.

What is Apache Beam?

Apache Beam is an open source, unified programming model that defines pipelines for batch and streaming data processing. Beam provides a simple, Java/Python SDK for building pipelines that can run on multiple execution engines.

Key aspects of Apache Beam include:

  • Portability - Beam abstractions allow pipelines to be executed across different runners like Apache Spark, Google Cloud Dataflow, Apache Flink and more.
  • Flexibility - Beam model supports both batch and streaming data processing pipelines.
  • Extensibility - Beam SDKs allow easy integration with external IOs, DSLs, and libraries.

With Apache Beam, developers can build data processing pipelines that can scale to process any volume of data. The unified APIs allow reusing code across small test cases to very large production pipelines. Beam runners manage pipeline execution, distribution and fault tolerance for the underlying systems.

Apache Beam Features

Features

  1. Unified batch and streaming programming model
  2. Portable across execution engines
  3. SDKs for Java and Python
  4. Stateful processing
  5. Windowing
  6. Event time and watermarks
  7. Side inputs

Pricing

  • Open Source

Pros

Unified API for batch and streaming

Runs on multiple execution engines

Active open source community

Integrates with other Apache projects

Cons

Steep learning curve

Complex dependency management

Not as fast as native engines in some cases


The Best Apache Beam Alternatives

Top Development and Data Processing and other similar apps like Apache Beam

Here are some alternatives to Apache Beam:

Suggest an alternative ❐

Talend icon

Talend

Talend is an open source data integration and management platform designed to help organizations effectively collect, transform, cleanse and share data across systems and teams. Some key capabilities and benefits of Talend include:Graphical drag-and-drop interface to build data integration jobs and workflows without codingOver 900 pre-built data connectors to leading...
Talend image
Databricks icon

Databricks

Databricks is a cloud-based platform for running Apache Spark workloads. It was founded by the creators of Apache Spark and provides a managed Spark environment to analyze massive datasets. Key features of Databricks include:Fully managed Spark clusters - Databricks handles all the infrastructure and configuration so you can focus just...
Databricks image
Amazon Kinesis icon

Amazon Kinesis

Amazon Kinesis is a cloud-based managed service offered by Amazon Web Services (AWS) to allow for real-time streaming data ingestion and processing. It is designed to easily ingest and process high volumes of streaming data from multiple sources simultaneously, making it well-suited for real-time analytics and big data workloads.Some key...
Amazon Kinesis image