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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ZooKeeper serves as a centralized solution for overseeing configuration data, naming conventions, facilitating distributed synchronization, and offering group services. These types of services are essential for various distributed applications, yet the implementation process is often fraught with challenges, including the need to address bugs and race conditions that frequently arise. Due to the complexities involved in creating such services, many applications tend to overlook them at first, resulting in a fragile structure that struggles to adapt to change and presents management challenges. Furthermore, even when these services are implemented effectively, the existence of multiple variations can introduce additional layers of management complexity once the applications are operational. Therefore, ensuring a robust framework for these services is crucial for maintaining stability and ease of maintenance in distributed systems.

Description

Spark Streaming extends the capabilities of Apache Spark by integrating its language-based API for stream processing, allowing you to create streaming applications in the same manner as batch applications. This powerful tool is compatible with Java, Scala, and Python. One of its key features is the automatic recovery of lost work and operator state, such as sliding windows, without requiring additional code from the user. By leveraging the Spark framework, Spark Streaming enables the reuse of the same code for batch processes, facilitates the joining of streams with historical data, and supports ad-hoc queries on the stream's state. This makes it possible to develop robust interactive applications rather than merely focusing on analytics. Spark Streaming is an integral component of Apache Spark, benefiting from regular testing and updates with each new release of Spark. Users can deploy Spark Streaming in various environments, including Spark's standalone cluster mode and other compatible cluster resource managers, and it even offers a local mode for development purposes. For production environments, Spark Streaming ensures high availability by utilizing ZooKeeper and HDFS, providing a reliable framework for real-time data processing. This combination of features makes Spark Streaming an essential tool for developers looking to harness the power of real-time analytics efficiently.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Accumulo Yes 
Apache Spark No 
DoubleCloud Yes 
Elastic Observability Yes 
GigaSpaces Yes 
HerdDB Yes 
Instaclustr Yes 
LogMan.io Yes 
Netdata Yes 
Ondat Yes 
Opsera Yes 
PubSub+ Platform No 
Sematext Cloud Yes 
SiteWhere Yes 
Stackable Yes 
Stratio Yes 
TeskaLabs SIEM Yes 
Vert.x Yes 
WarpStream Yes 

Integrations

Apache Accumulo No 
Apache Spark Yes 
DoubleCloud No 
Elastic Observability No 
GigaSpaces No 
HerdDB No 
Instaclustr No 
LogMan.io No 
Netdata No 
Ondat No 
Opsera No 
PubSub+ Platform Yes 
Sematext Cloud No 
SiteWhere No 
Stackable No 
Stratio No 
TeskaLabs SIEM No 
Vert.x No 
WarpStream No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Corporation

Founded

1954

Country

United States

Website

zookeeper.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

spark.apache.org/streaming/

Product Features

DevOps

Approval Workflow No 
Dashboard No 
KPIs No 
Policy Management No 
Portfolio Management No 
Prioritization No 
Release Management No 
Timeline Management No 
Troubleshooting Reports No 

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