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Description
Akka serves as a powerful toolkit designed for creating highly concurrent, distributed, and resilient applications driven by messages, specifically tailored for Java and Scala. Complementing this is Akka Insights, a sophisticated monitoring and observability solution specifically engineered for Akka environments. With the use of Actors and Streams, developers can create systems that efficiently utilize server resources and expand across multiple servers. Grounded in the tenets of The Reactive Manifesto, Akka empowers the development of systems capable of self-repairing and maintaining responsiveness despite encountering failures. It facilitates the creation of distributed systems free from single points of failure, incorporates load balancing and adaptive routing among nodes, and supports Event Sourcing and CQRS in conjunction with Cluster Sharding. Furthermore, it enables Distributed Data to ensure eventual consistency through CRDTs, while also providing asynchronous, non-blocking stream processing equipped with backpressure mechanisms. Its fully asynchronous and streaming HTTP server and client capabilities make it an excellent foundation for microservice architecture, and the integration with Alpakka enhances its streaming capabilities for various applications. As a result, Akka stands out as a comprehensive solution for modern application development.
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
API Access
Has API
Integrations
AWS Marketplace
Activeeon ProActive
Apache Spark
Dash
New Relic
PubSub+ Platform
Sematext Cloud
Integrations
AWS Marketplace
Activeeon ProActive
Apache Spark
Dash
New Relic
PubSub+ Platform
Sematext Cloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Akka
Website
akka.io
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
spark.apache.org/streaming/