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features
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support

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Description

Verdonz is an advanced platform for business intelligence and AI analytics tailored for teams analyzing company performance and data. The platform seamlessly integrates with various data warehouses, databases, query engines, monitoring systems, and knowledge repositories, systematically organizing metrics, entities, relationships, and access guidelines within a unified semantic model. Users can pose questions in natural language, delve into metric definitions and the SQL queries that underpin responses, and navigate through dashboards, reports, and alerts linked to governed metrics. AI agents that can be configured engage with connected data and knowledge either on demand, according to a set schedule, or in response to alerts; external assistants can retrieve authorized context via the read-only Model Context Protocol (MCP) server or through API access. Additionally, embedded analytics allow for the integration of saved queries across other applications, enhancing usability. Verdonz offers flexibility in deployment, as it can be accessed as hosted SaaS, via a dedicated instance or customer-specific cloud, and can also be utilized as self-hosted software for organizations requiring greater control over their infrastructure. This versatility makes Verdonz a compelling choice for businesses seeking to leverage data analytics effectively.

Description

VictoriaMetrics Cloud allows you to run VictoriaMetrics Enterprise on AWS without having to perform typical DevOps activities such as proper configuration and monitoring, log collection, security, software updates, software protection, or backups. We run VictoriaMetrics Cloud in our environment using AWS, and provide easy to use endpoints for data ingestion. VictoriaMetrics takes care of software maintenance and optimal configuration. It has the following features: It can be used to manage Prometheus. Configure Prometheus, Vmagent or VictoriaMetrics to write data into Managed VictoriaMetrics. Then use the endpoint provided as a Prometheus source in Grafana. Each VictoriaMetrics Cloud instance runs in a separate environment so that instances cannot interfere with one another; VictoriaMetrics Cloud can be scaled-up or scaled-down in just a few clicks. Automated backups.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Athena Yes 
Amazon Redshift Yes 
Claude Code Yes 
Cursor Yes 
Databricks Yes 
Elasticsearch Yes 
Google Cloud BigQuery Yes 
Model Context Protocol (MCP) Yes 
MySQL Yes 
PostgreSQL Yes 
Presto Yes 
Prometheus Yes 
SQL Server Yes 
Snowflake Yes 
VictoriaMetrics No 

Integrations

Amazon Athena No 
Amazon Redshift No 
Claude Code No 
Cursor No 
Databricks No 
Elasticsearch No 
Google Cloud BigQuery No 
Model Context Protocol (MCP) No 
MySQL No 
PostgreSQL No 
Presto No 
Prometheus No 
SQL Server No 
Snowflake No 
VictoriaMetrics Yes 

Pricing Details

$199/user/month
A limited free workspace uses sample data. Team starts at $199 per user per month. Enterprise plans are custom-priced.
Free Trial Yes 
Free Version Yes 

Pricing Details

$190 per month
Free Trial Yes 
Free Version No 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Verdonz

Founded

2026

Country

United States

Website

www.verdonz.com

Vendor Details

Company Name

VictoriaMetrics

Founded

2018

Country

United States

Website

victoriametrics.com/products/cloud/

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis No 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

Product Features

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