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features
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support

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Description

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively.

Description

As organizations increasingly rely on data for their operations, the integration of this data has emerged as a critical component in achieving successful digital transformation, emphasizing that such transformation cannot occur without the effective handling of data. To navigate this landscape, organizations face several challenges: eliminating information silos within their systems, ensuring agile and rapid processing of diverse and expanding data types—including structured, semi-structured, and unstructured data—managing high data loads, and enabling real-time data ingestion for timely decision-making. Furthermore, they must also keep a close watch on the costs associated with data infrastructure. In this scenario, Stambia offers a comprehensive solution that caters to various data processing needs, capable of being deployed both in the cloud and on-premises, while ensuring effective management and optimization of data ownership and transformation expenses, ultimately empowering organizations to thrive in a data-centric environment. This adaptable approach allows for the seamless integration of data across different platforms, enhancing the overall efficiency of digital operations.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AiOpsX Yes 
Amazon S3 Yes 
Axonius Yes 
Coralogix Yes 
Criminal IP Yes 
Elastic Observability Yes 
Google Cloud Storage Yes 
IRI Voracity Yes 
KrakenD Yes 
NXLog Yes 
Observe Yes 
Observo AI Yes 
REDXRAY Yes 
RabbitMQ Yes 
Salesforce Yes 
Stamus Networks Yes 
StrongDM Yes 
Suricata Yes 
groundcover Yes 

Integrations

AiOpsX No 
Amazon S3 No 
Axonius No 
Coralogix No 
Criminal IP No 
Elastic Observability No 
Google Cloud Storage No 
IRI Voracity No 
KrakenD No 
NXLog No 
Observe No 
Observo AI No 
REDXRAY No 
RabbitMQ No 
Salesforce No 
Stamus Networks No 
StrongDM No 
Suricata No 
groundcover No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$20,000 one-time fee
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Elasticsearch

Founded

2012

Country

United States

Website

www.elastic.co/logstash

Vendor Details

Company Name

Stambia

Founded

2009

Country

France

Website

www.stambia.com/en/product

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

ETL

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

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