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What is Logstash?

Streamline the centralization, transformation, and storage of your data with ease. Logstash acts as a free and open-source server-side data processing pipeline, adept at ingesting data from a multitude of sources, transforming it, and routing it to your chosen storage solution. This tool proficiently manages the entire process of data ingestion, transformation, and delivery, accommodating a wide array of formats and complexities. With the use of grok, you can extract structured information from unstructured data, decipher geographic coordinates from IP addresses, and protect sensitive information by either anonymizing or omitting certain fields, thus facilitating simpler data processing. Data often resides in disparate systems and formats, leading to silos that impede effective analysis. Logstash supports numerous input types, allowing for the concurrent collection of events from various common and diverse sources. It enables the effortless gathering of data from logs, metrics, web applications, data repositories, and an assortment of AWS services, all in a continuous streaming fashion. With its powerful features, Logstash equips organizations to effectively consolidate their data landscape, enhancing both accessibility and usability. You can explore more about Logstash and download it from this link: https://sourceforge.net/projects/logstash.mirror/.

What is Amazon Kinesis?

Seamlessly collect, manage, and analyze video and data streams in real time with ease. Amazon Kinesis streamlines the process of gathering, processing, and evaluating streaming data, empowering users to swiftly derive meaningful insights and react to new information without hesitation. Featuring essential capabilities, Amazon Kinesis offers a budget-friendly solution for managing streaming data at any scale, while allowing for the flexibility to choose the best tools suited to your application's specific requirements. You can leverage Amazon Kinesis to capture a variety of real-time data formats, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for purposes ranging from machine learning to comprehensive analytics. This platform facilitates immediate processing and analysis of incoming data, removing the necessity to wait for full data acquisition before initiating the analysis phase. Additionally, Amazon Kinesis enables rapid ingestion, buffering, and processing of streaming data, allowing you to reveal insights in a matter of seconds or minutes, rather than enduring long waits of hours or days. The capacity to quickly respond to live data significantly improves decision-making and boosts operational efficiency across a multitude of sectors. Moreover, the integration of real-time data processing fosters innovation and adaptability, positioning organizations to thrive in an increasingly data-driven environment.

Media

Media

Integrations Supported

Amazon OpenSearch Service
Amazon Web Services (AWS)
Coralogix
Observe
Observo AI
AWS Connected Vehicle Solution
AWS IoT Core
Adobe Real-Time CDP
Amazon Data Firehose
Apache Storm
Azure Marketplace
BigBI
HiveMQ
IRI Voracity
Ikigai
InsightCat
MongoDB Atlas
Privacera
RabbitMQ

Integrations Supported

Amazon OpenSearch Service
Amazon Web Services (AWS)
Coralogix
Observe
Observo AI
AWS Connected Vehicle Solution
AWS IoT Core
Adobe Real-Time CDP
Amazon Data Firehose
Apache Storm
Azure Marketplace
BigBI
HiveMQ
IRI Voracity
Ikigai
InsightCat
MongoDB Atlas
Privacera
RabbitMQ

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Elasticsearch

Date Founded

2012

Company Location

United States

Company Website

www.elastic.co/logstash

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/kinesis/

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and 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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