Audience
Real-Time Data Streaming solution for businesses
About Spark Streaming
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.
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Apache Spark
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
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Integrations
Company Information
Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
Spark Streaming Frequently Asked Questions
Q: What kinds of users and organization types does Spark Streaming work with?
Spark Streaming works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Spark Streaming support in their product?
Spark Streaming supports these languages: English.
Q: What kind of support options does Spark Streaming offer?
Spark Streaming offers support via online.
Q: What other applications or services does Spark Streaming integrate with?
Spark Streaming integrates with: Apache Spark and PubSub+ Platform.
Q: What type of training does Spark Streaming provide?
Spark Streaming provides training in the form of documentation.
