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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Amazon MQ is a cloud-based managed message broker service that utilizes Apache ActiveMQ, simplifying the process of establishing and running message brokers. These brokers facilitate communication and information exchange between various software systems, which may be built with different programming languages and operate on distinct platforms. By managing the provisioning, setup, and upkeep of ActiveMQ, a widely-used open-source message broker, Amazon MQ significantly eases your operational burden. Integrating your existing applications with Amazon MQ is straightforward, as it supports industry-standard APIs and messaging protocols such as JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This adherence to standards often eliminates the need to alter existing messaging code when transitioning to AWS. With just a few clicks in the Amazon MQ Console, you can provision your broker while ensuring compatibility with version upgrades, allowing you to utilize the latest version supported by Amazon MQ. After the broker is set up, your applications will be able to seamlessly produce and consume messages, streamlining your workflow and enhancing overall efficiency. Additionally, this service provides scalability, allowing you to adjust resources based on your application's needs, ensuring optimal performance at all times.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
Rocket Data Replicate & Sync Yes 
AWS CloudFormation No 
ActionIQ Yes 
Amazon Data Firehose Yes 
Amazon OpenSearch Service Yes 
AppSignal Yes 
Ascend Yes 
Blotout Yes 
Cribl Stream Yes 
Datazoom Yes 
Integrate.io Yes 
Mackerel Yes 
Materialize Yes 
MongoDB Atlas Yes 
Observe Yes 
OpenMetadata Yes 
Sibros Yes 
SolarWinds AppOptics Yes 
Validio Yes 

Integrations

AWS App Mesh Yes 
Rocket Data Replicate & Sync Yes 
AWS CloudFormation Yes 
ActionIQ No 
Amazon Data Firehose No 
Amazon OpenSearch Service No 
AppSignal No 
Ascend No 
Blotout No 
Cribl Stream No 
Datazoom No 
Integrate.io No 
Mackerel No 
Materialize No 
MongoDB Atlas No 
Observe No 
OpenMetadata No 
Sibros No 
SolarWinds AppOptics No 
Validio No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/kinesis/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/amazon-mq/

Product Features

Streaming Analytics

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

Product Features

Message Queue

Asynchronous Communications Protocol Yes 
Data Error Reduction Yes 
Message Encryption Yes 
On-Premise Installation Yes 
Roles / Permissions Yes 
Storage / Retrieval / Deletion Yes 
System Decoupling Yes 

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