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ease
features
design
support

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Description

Deep Text Inspection encompasses anomaly detection and clustering, utilizing advanced AI to analyze all log data while providing real-time insights and alerts. With machine learning clustering, it identifies emerging errors and unique risk KPIs, among other metrics, through effective pattern recognition and discovery techniques. This solution offers robust anomaly detection for data risk and content monitoring, seamlessly integrating with platforms like Logstash, ELK, and more. Deployable in mere minutes, AiOpsX enhances existing monitoring and log analysis tools by employing millions of intelligent observations. It addresses various concerns including security, performance, audits, errors, trends, and anomalies. Utilizing distinctive algorithms, the system uncovers patterns and evaluates risk levels, ensuring continuous monitoring of risk and performance data to pinpoint outliers. The AiOpsX engine adeptly recognizes new message types, shifts in log volume, and spikes in risk levels while generating timely reports and alerts for IT monitoring teams and application owners, ensuring they remain informed and proactive in managing system integrity. Furthermore, this comprehensive approach enables organizations to maintain a high level of operational efficiency and responsiveness to emerging threats.

Description

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Kinesis
Amazon Redshift
Amazon S3
Apache Kafka
Azure Data Lake
Azure Synapse Analytics
Databricks
Elastic Cloud
Gmail
Google Cloud BigQuery
Google Cloud Pub/Sub
Google Cloud Storage
Logstash
Microsoft Teams
PagerDuty
PostgreSQL
SQL Server
Slack
Snowflake
dbt

Integrations

Amazon Kinesis
Amazon Redshift
Amazon S3
Apache Kafka
Azure Data Lake
Azure Synapse Analytics
Databricks
Elastic Cloud
Gmail
Google Cloud BigQuery
Google Cloud Pub/Sub
Google Cloud Storage
Logstash
Microsoft Teams
PagerDuty
PostgreSQL
SQL Server
Slack
Snowflake
dbt

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

XPLG

Founded

2005

Country

United States

Website

www.xplg.com/aiopsx-log-intelligence-for-application-monitoring/

Vendor Details

Company Name

Validio

Founded

2019

Website

validio.io

Product Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

IT Infrastructure Monitoring

Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring

Product Features

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Alternatives

Alternatives