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features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Kinesis No 
Amazon Redshift No 
Amazon S3 No 
Apache Kafka No 
Azure Data Lake No 
Azure Synapse Analytics No 
Databricks No 
Elastic Cloud Yes 
Gmail No 
Google Cloud BigQuery No 
Google Cloud Pub/Sub No 
Google Cloud Storage No 
Logstash Yes 
Microsoft Teams No 
PagerDuty No 
PostgreSQL No 
SQL Server No 
Slack No 
Snowflake No 
dbt No 

Integrations

Amazon Kinesis Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Kafka Yes 
Azure Data Lake Yes 
Azure Synapse Analytics Yes 
Databricks Yes 
Elastic Cloud No 
Gmail Yes 
Google Cloud BigQuery Yes 
Google Cloud Pub/Sub Yes 
Google Cloud Storage Yes 
Logstash No 
Microsoft Teams Yes 
PagerDuty Yes 
PostgreSQL Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
dbt Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

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 No 
Diagnostic Tools No 
Full Transaction Diagnostics No 
Performance Control No 
Resource Management No 
Root-Cause Diagnosis No 
Server Performance No 
Trace Individual Transactions No 

IT Infrastructure Monitoring

Alerts / Notifications No 
Application Monitoring No 
Bandwidth Monitoring No 
Capacity Planning No 
Configuration Change Management No 
Data Movement Monitoring No 
Health Monitoring No 
Multi-Platform Support No 
Performance Monitoring No 
Point-in-Time Visibility No 
Reporting / Analytics No 
Virtual Machine Monitoring No 

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Alternatives

Alternatives