Spark Streaming

Spark Streaming

Apache Software Foundation
+

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About

Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

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

Organizations looking for a data science solution

Audience

Developers interested in a beautiful but advanced programming language

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

$0.0085 per GB per hour
Free Version
Free Trial

Pricing

Free
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

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/big-data/data-flow/

Company Information

Python
Founded: 1991
www.python.org

Company Information

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

Alternatives

E-MapReduce

E-MapReduce

Alibaba

Alternatives

Alternatives

ksqlDB

ksqlDB

Confluent
Amazon EMR

Amazon EMR

Amazon
Samza

Samza

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Categories

Integrations

AI CERTs
AI Dev Codes
Aserto
CodeTasty
DNSimple
Debricked
Forsta
GPT-5 thinking
Gable
Hacker AI
Salience
ScreenshotAPI
Sematext Cloud
SikuliX
Synctify
The Welkin Suite
ThirdLine
UbiOps
ndCurveMaster
pygame

Integrations

AI CERTs
AI Dev Codes
Aserto
CodeTasty
DNSimple
Debricked
Forsta
GPT-5 thinking
Gable
Hacker AI
Salience
ScreenshotAPI
Sematext Cloud
SikuliX
Synctify
The Welkin Suite
ThirdLine
UbiOps
ndCurveMaster
pygame

Integrations

AI CERTs
AI Dev Codes
Aserto
CodeTasty
DNSimple
Debricked
Forsta
GPT-5 thinking
Gable
Hacker AI
Salience
ScreenshotAPI
Sematext Cloud
SikuliX
Synctify
The Welkin Suite
ThirdLine
UbiOps
ndCurveMaster
pygame
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