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Description
Begin your streaming journey with straightforward URL parameters, or dive directly into the Streaming API documentation to discover how to transmit events using JSON format. Accessing data from your Initial State account is equally straightforward; all that's required is your private access key and a simple HTTPS GET request. Explore our user-friendly examples and comprehensive API documentation for guidance. With no restrictions on the number of devices, data streams, or dashboards, you can unleash your creativity and build remarkable data projects. Whether you want to keep your data private or share it with a broader audience, the Initial State streaming REST API makes it simple to learn and implement. A range of open-sourced SDKs for languages like Python and NodeJS are readily available for your convenience. You can also follow several detailed tutorials designed to help you create practical, real-time streaming projects effortlessly. Additionally, our codeless data integrations enable you to acquire data from APIs with just a few clicks, eliminating the need for coding or setting up a single-board computer to obtain the information you desire. This streamlined approach empowers users to focus on their projects without getting bogged down by technical complexities.
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
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
Initial State
Founded
2012
Country
United States
Website
www.initialstate.com/streaming/
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
spark.apache.org/streaming/
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
