Oracle Logging Analytics logo

Oracle Logging Analytics

by Oracle · Since 1977
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Active1+ countriesCloudFree tier
Quick facts
VendorOracle
Year launched1977
StatusActive
LocationOracle Corporation 2300 Oracle Way Austin, TX 78741
Countries served1+
Languages11
IntegrationsN/A
Free tierYES
Free trialN/A
Contact salesN/A

About Oracle Logging Analytics

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Oracle Logging Analytics is a comprehensive software solution designed to help organizations monitor and analyze their log data efficiently. With its powerful artificial intelligence and machine learning capabilities, this tool stands out as a valuable asset in the realm of log management. The user interface of Oracle Logging Analytics is intuitive and user-friendly, making it easy for users to navigate and access critical information quickly. The platform features a sleek design with customizable dashboards and reports, allowing users to monitor their log data in real-time effectively. Unique design elements such as interactive visualizations and advanced filtering options enhance the overall user experience. One of the key differentiators of Oracle Logging Analytics is its core functionalities, which include log monitoring, analysis, and troubleshooting. The software's advanced machine learning algorithms help identify anomalies and patterns in log data, enabling users to proactively address potential issues before they escalate. This innovative approach sets Oracle Logging Analytics apart from its competitors, making it a valuable tool for IT operations teams. In terms of performance, Oracle Logging Analytics excels in speed, efficiency, and reliability.

Pros & Cons

Pros
  • Cloud and Multicloud Support: Easy integration with multiple cloud environments.
  • Machine Learning-Powered Analytics: Faster pattern recognition and anomaly detection.
  • Low-Cost Data Retention: Affordable long-term log storage.
  • Rich Parsers: Over 250 pre-built parsers for diverse technology stacks.
  • Topology-Aware Troubleshooting: Simplifies debugging in complex distributed systems.
Cons
  • Oracle Ecosystem Dependency: Best suited for Oracle Cloud environments.
  • Learning Curve: May require technical expertise to fully leverage machine learning capabilities.
  • Integration Complexity: Some third-party integrations might need additional configuration.
  • Cost for Large Volumes: Costs can increase with high volumes of logs.

Features

Key features

1. Machine Learning-Based Log Analysis

Analyzes logs from various sources using AI.

2. Cloud and Multicloud Support

Supports on-premises, Oracle Cloud, AWS, and Azure logs.

3. Topology-Aware Exploration

Allows easy troubleshooting by visualizing logs and their architecture.

4. Data Archival and Recall

Enables long-term retention of logs at low costs.

5. Parsers for Various Technologies

250+ pre-built parsers for both Oracle and non-Oracle environments.

Additional features

1. Monitoring Cloud Logs

Easily monitor logs from various environments.

2. Visual Log Exploration

Provides pattern-based visualization to simplify outlier detection.

3. Curated Machine Learning Algorithms

Automatically identifies patterns and anomalies in logs.

4. Long-Term Data Retention

Archive logs with custom retention policies.

5. Integrated Parsers

Supports a wide variety of technologies with built-in parsers.

Pricing

Free trial
Free version
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Countries & Languages

1
Countries served
11
Interface languages
10
Billing currencies

Available in

All Countries.

Interface languages

EnglishSpanishFrenchGermanItalianDutchPortugueseRussianJapaneseChineseKorean.

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇳CNY🇦🇺AUD🇨🇦CAD🇮🇳INR🇷🇺RUB🇧🇷BRL

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