Apache Beam

Apache Beam

Apache Software Foundation
Apache Flink

Apache Flink

Apache Software Foundation
+

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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

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers.

About

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Real-Time Data Streaming solution for businesses

Audience

Streaming analytics framework for anyone

Audience

Companies and professionals seeking a solution to manage their streaming and batch data processing operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
Founded: 1999
United States
beam.apache.org

Company Information

Apache Software Foundation
Founded: 1999
United States
flink.apache.org

Company Information

Spring
spring.io/projects/spring-cloud-dataflow

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation

Alternatives

Samza

Samza

Apache Software Foundation
Apache Gobblin

Apache Gobblin

Apache Software Foundation
Apache Storm

Apache Storm

Apache Software Foundation
Apache Heron

Apache Heron

Apache Software Foundation
SQLstream

SQLstream

Guavus, a Thales company

Categories

Categories

Categories

Integrations

Alibaba Log Service
Amazon Managed Service for Apache Flink
Apache Doris
Apache Hudi
Apache Iceberg
Apache Knox
Apache Kudu
Apache Mesos
Apache Tomcat
Cloud Foundry
Deep.BI
E-MapReduce
Foundational
Hadoop
Netdata
PubSub+ Platform
Scalytics Connect
Streamkap
VeloDB
ZenML

Integrations

Alibaba Log Service
Amazon Managed Service for Apache Flink
Apache Doris
Apache Hudi
Apache Iceberg
Apache Knox
Apache Kudu
Apache Mesos
Apache Tomcat
Cloud Foundry
Deep.BI
E-MapReduce
Foundational
Hadoop
Netdata
PubSub+ Platform
Scalytics Connect
Streamkap
VeloDB
ZenML

Integrations

Alibaba Log Service
Amazon Managed Service for Apache Flink
Apache Doris
Apache Hudi
Apache Iceberg
Apache Knox
Apache Kudu
Apache Mesos
Apache Tomcat
Cloud Foundry
Deep.BI
E-MapReduce
Foundational
Hadoop
Netdata
PubSub+ Platform
Scalytics Connect
Streamkap
VeloDB
ZenML
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