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ease
features
design
support

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Description

Effortlessly gather, manage, and scrutinize video and data streams as they occur. Amazon Kinesis simplifies the process of collecting, processing, and analyzing streaming data in real-time, empowering you to gain insights promptly and respond swiftly to emerging information. It provides essential features that allow for cost-effective processing of streaming data at any scale while offering the adaptability to select the tools that best align with your application's needs. With Amazon Kinesis, you can capture real-time data like video, audio, application logs, website clickstreams, and IoT telemetry, facilitating machine learning, analytics, and various other applications. This service allows you to handle and analyze incoming data instantaneously, eliminating the need to wait for all data to be collected before starting the processing. Moreover, Amazon Kinesis allows for the ingestion, buffering, and real-time processing of streaming data, enabling you to extract insights in a matter of seconds or minutes, significantly reducing the time it takes compared to traditional methods. Overall, this capability revolutionizes how businesses can respond to data-driven opportunities as they arise.

Description

Apama Streaming Analytics empowers businesses to process and respond to IoT and rapidly changing data in real-time, enabling them to react intelligently as events unfold. The Apama Community Edition serves as a freemium option from Software AG, offering users the chance to explore, develop, and deploy streaming analytics applications in a practical setting. Meanwhile, the Software AG Data & Analytics Platform presents a comprehensive, modular, and cohesive suite of advanced capabilities tailored for managing high-velocity data and conducting analytics on real-time information, complete with seamless integration to essential enterprise data sources. Users can select the features they require, including streaming, predictive, and visual analytics, alongside messaging capabilities that facilitate straightforward integration with various enterprise applications and an in-memory data store that ensures rapid access. Additionally, by incorporating historical data for comparative analysis, organizations can enhance their models and enrich critical customer and operational data, ultimately leading to more informed decision-making. This level of flexibility and functionality makes Apama an invaluable asset for companies aiming to leverage their data effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

5X
AWS IoT Core
ActionIQ
Adobe Real-Time CDP
Arroyo
Centreon
CorralData
Cyral
EMnify
Fleet
MetaRouter
Observe
OpenSnowcat
Rayven
SQLstream
Salesforce Data 360
Sclera
Vendia
Yandex Data Streams
lakeFS

Integrations

5X
AWS IoT Core
ActionIQ
Adobe Real-Time CDP
Arroyo
Centreon
CorralData
Cyral
EMnify
Fleet
MetaRouter
Observe
OpenSnowcat
Rayven
SQLstream
Salesforce Data 360
Sclera
Vendia
Yandex Data Streams
lakeFS

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/kinesis/

Vendor Details

Company Name

Apama

Founded

2000

Country

United Kingdom

Website

www.apamacommunity.com

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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