Spark Streaming

Spark Streaming

Apache Software Foundation
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About

Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless.

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 Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies that want to create real-time data pipelines

Audience

Real-Time Data Streaming solution for businesses

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Confluent
Founded: 2015
United States
www.confluent.io

Company Information

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

Alternatives

Alternatives

ksqlDB

ksqlDB

Confluent
Samza

Samza

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Streaming Analytics Features

Data Enrichment Supported
Data Wrangling / Data Prep Supported
Multiple Data Source Support Supported
Process Automation Supported
Real-time Analysis / Reporting Supported
Visualization Dashboards Supported

Integrations

APERIO DataWise Supported
AWS IoT SiteWise Supported
Ably Supported
Arroyo Supported
Borneo Supported
CloudZero Supported
Cyral Supported
FlashBlade//S Supported
Hevo Supported
Lightstreamer Supported
Observo AI Supported
Parasoft Supported
Pinecone Rerank v0 Supported
SAP Business Data Cloud Supported
Scuba Supported
SecuPi Supported
Starburst Enterprise Supported
SuperCore Supported
Weaviate Supported

Integrations

APERIO DataWise Not Supported
AWS IoT SiteWise Not Supported
Ably Not Supported
Arroyo Not Supported
Borneo Not Supported
CloudZero Not Supported
Cyral Not Supported
FlashBlade//S Not Supported
Hevo Not Supported
Lightstreamer Not Supported
Observo AI Not Supported
Parasoft Not Supported
Pinecone Rerank v0 Not Supported
SAP Business Data Cloud Not Supported
Scuba Not Supported
SecuPi Not Supported
Starburst Enterprise Not Supported
SuperCore Not Supported
Weaviate Not Supported
Claim Confluent and update features and information
Claim Confluent and update features and information
Claim Spark Streaming and update features and information
Claim Spark Streaming and update features and information