Spark Streaming

Spark Streaming

Apache Software Foundation
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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.

About

Timeplus is a simple, powerful, and cost-efficient stream processing platform. All in a single binary, easily deployed anywhere. We help data teams process streaming and historical data quickly and intuitively, in organizations of all sizes and industries. Lightweight, single binary, without dependencies. End-to-end analytic streaming and historical functionalities. 1/10 the cost of similar open source frameworks. Turn real-time market and transaction data into real-time insights. Leverage append-only streams and key-value streams to monitor financial data. Implement real-time feature pipelines using Timeplus. One platform for all infrastructure logs, metrics, and traces, the three pillars supporting observability. In Timeplus, we support a wide range of data sources in our web console UI. You can also push data via REST API, or create external streams without copying data into Timeplus.

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

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

Real-Time Data Streaming solution for businesses

Audience

Developer teams seeking a solution for building and scaling analytics applications

Support

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

Support

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

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

$199 per month
Free Version Not Supported
Free Trial Supported

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

Training

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

Training

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

Company Information

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

Company Information

Timeplus
www.timeplus.com

Alternatives

ksqlDB

ksqlDB

Confluent

Alternatives

Samza

Samza

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Apache Doris

Apache Doris

The Apache Software Foundation

Categories

Categories

Integrations

Airbyte Not Supported
Amazon Web Services (AWS) Not Supported
Apache Avro Not Supported
Apache Parquet Not Supported
Apache Spark Supported
ClickHouse Not Supported
Confluent Not Supported
Go Not Supported
Java Not Supported
Kubernetes Not Supported
Metabase Not Supported
Microsoft Excel Not Supported
PubSub+ Platform Supported
Python Not Supported
SQL Not Supported
Slack Not Supported
Snowflake Not Supported
StreamNative Not Supported
Terraform Not Supported

Integrations

Airbyte Supported
Amazon Web Services (AWS) Supported
Apache Avro Supported
Apache Parquet Supported
Apache Spark Not Supported
ClickHouse Supported
Confluent Supported
Go Supported
Java Supported
Kubernetes Supported
Metabase Supported
Microsoft Excel Supported
PubSub+ Platform Not Supported
Python Supported
SQL Supported
Slack Supported
Snowflake Supported
StreamNative Supported
Terraform Supported
Claim Spark Streaming and update features and information
Claim Spark Streaming and update features and information
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