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What is VictoriaMetrics Cloud?

VictoriaMetrics Cloud enables users to deploy VictoriaMetrics Enterprise on AWS seamlessly, eliminating the need for traditional DevOps tasks such as configuration, monitoring, log collection, security management, software updates, protection, or backups. By utilizing AWS for our VictoriaMetrics Cloud, we offer user-friendly endpoints designed for efficient data ingestion, while VictoriaMetrics handles all aspects of software upkeep and ensures optimal settings are in place. Key features of VictoriaMetrics Cloud include its ability to seamlessly integrate with Prometheus; users can configure Prometheus, Vmagent, or VictoriaMetrics to send data to the Managed VictoriaMetrics, and then utilize the provided endpoint as a Prometheus source in Grafana. Each instance of VictoriaMetrics Cloud operates within its own isolated environment, preventing any potential interference between instances. Furthermore, scaling instances up or down can be accomplished in just a few clicks, providing users with flexibility based on their needs. Additionally, the service incorporates automated backups, offering peace of mind and data security.

What is Verdonz?

Verdonz serves as a sophisticated platform designed for business intelligence and AI analytics, specifically aimed at teams focused on evaluating company performance and data insights. The platform boasts seamless integration capabilities with a variety of data warehouses, databases, query engines, monitoring systems, and knowledge hubs, effectively organizing metrics, entities, relationships, and access protocols within a cohesive semantic framework. Users have the ability to ask questions in everyday language, explore metric definitions alongside the SQL queries that generate their responses, and navigate through dashboards, reports, and alerts associated with regulated metrics. Configurable AI agents interact with linked data and knowledge either upon request, according to predetermined schedules, or in reaction to specific alerts; external assistants can access authorized context through the read-only Model Context Protocol (MCP) server or via API connections. Furthermore, embedded analytics facilitate the incorporation of saved queries into other applications, thereby boosting usability. Verdonz also offers considerable deployment flexibility, allowing access as hosted SaaS, through dedicated instances or client-specific clouds, and even as self-hosted software for organizations that desire enhanced control over their infrastructure. This range of options ensures that Verdonz stands out as an appealing solution for businesses aiming to optimize their data analytics strategies while adapting to their unique needs. Such versatility in deployment and functionality makes Verdonz not just a tool, but a strategic partner in data-driven decision-making.

Media

Media

No images available

Integrations Supported

VictoriaMetrics

Integrations Supported

Amazon Athena
Amazon Redshift
Claude Code
Cursor
Databricks
Elasticsearch
Google Cloud BigQuery
Model Context Protocol (MCP)
MySQL
PostgreSQL
Presto
Prometheus
SQL Server
Snowflake

API Availability

API Availability

Has API

Pricing Information

$190 per month
Free Trial Offered?

Pricing Information

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

Supported Platforms

SaaS
Mac

Supported Platforms

SaaS
Mac
On-Prem
Linux

Customer Service / Support

24 Hour Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

VictoriaMetrics

Date Founded

2018

Company Location

United States

Company Website

victoriametrics.com/products/cloud/

Company Facts

Organization Name

Verdonz

Date Founded

2026

Company Location

United States

Company Website

www.verdonz.com

Categories and Features

Time Series Databases

Not specified

Categories and Features

Business Intelligence

Not specified

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