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Software Status:Development

About LogIsland

LogIsland is a log management software from Orange Group that provides centralized log collection and analysis. It offers real-time log monitoring, advanced search capabilities, and automated alerting so users can detect and respond to issues promptly. This platform helps organizations maintain compliance by retaining logs for regulatory requirements. LogIsland also supports integration with various data sources to aggregate logs from multiple systems, making it easier to manage large volumes of data. Key capabilities: centralized log collection real-time monitoring advanced search automated alerting integration support Best for: IT teams that need to manage and analyze logs for troubleshooting and compliance purposes.

LogIsland Details

Vendor
Orange Group
Year Launched
Location
Paris, France
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, Spanish, German, Italian, Japanese, Chinese
Users
Data Analysts, Data Scientists, Business Intelligence Analysts, Data Engineers, Project Managers, IT Administrators
Industries Served
Healthcare, Education, Finance, Retail, Telecommunications, Transportation, Energy
Tags
Big Data, Log Processing, Data Analysis, Data Processing, Event Processing, Data Management, Log Management, Orange Group

LogIsland's In-App Market Place

Does LogIsland have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

8

Mini Apps

1. Logstash: A data processing pipeline that ingests data from multiple sources

processes it

and sends it to your desired destination.

2. Kafka Connect: A tool for scalable and reliable streaming of data between LogIsland and Apache Kafka.

3. Elasticsearch: A distributed search and analytics engine that enables fast searching of large amounts of data collected by LogIsland.

4. Kibana: An open-source data visualization dashboard for Elasticsearch that allows you to create interactive charts

graphs

and tables to visualize your LogIsland data.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), KRW (₩), INR (₹), RUB (₽), ZAR (R), NZD (NZ$), BRL (R$), MXN (Mex$), SGD (S$)

Pros & Cons

  • Ability to process massive amounts of data in real-time
  • Integration with various data sources and formats
  • User-friendly interface for data visualization and exploration
  • Sophisticated streaming analytics capabilities
  • Scalable architecture for handling high volumes of data
  • Advanced machine learning algorithms for predictive analytics
  • Steep learning curve for users unfamiliar with big data analytics
  • Limited support for non-traditional data sources such as social media or IoT devices
  • Lack of integration with popular business intelligence tools
  • High cost of licensing and implementation for small businesses
  • Performance issues with handling large volumes of data, leading to slow query processing times

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