Java

Java

Oracle
Spark Streaming

Spark Streaming

Apache Software Foundation
+

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About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.

About

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.

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

Developers looking for a Programming Language solution

Audience

Application development solution for DevOps teams

Audience

Real-Time Data Streaming solution for businesses

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

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

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

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

PySpark
spark.apache.org/docs/latest/api/python/

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/

Alternatives

Alternatives

Alternatives

ksqlDB

ksqlDB

Confluent
Samza

Samza

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Categories

Integrations

Apache TinkerPop
ArcadeDB
BlinqIO
Brokk
Codase
Eclipse Theia
Grok 4
Kandio
Llama 4 Behemoth
Massive
Neurotechnology AI SDK
ORMIT™-APEX
Payzli
Pdftools
Prolog
Qwen2.5-Coder
Selenic
Statsig
goormIDE
gopaddle

Integrations

Apache TinkerPop
ArcadeDB
BlinqIO
Brokk
Codase
Eclipse Theia
Grok 4
Kandio
Llama 4 Behemoth
Massive
Neurotechnology AI SDK
ORMIT™-APEX
Payzli
Pdftools
Prolog
Qwen2.5-Coder
Selenic
Statsig
goormIDE
gopaddle

Integrations

Apache TinkerPop
ArcadeDB
BlinqIO
Brokk
Codase
Eclipse Theia
Grok 4
Kandio
Llama 4 Behemoth
Massive
Neurotechnology AI SDK
ORMIT™-APEX
Payzli
Pdftools
Prolog
Qwen2.5-Coder
Selenic
Statsig
goormIDE
gopaddle
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