# Iomete

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/iomete
- **Dataset:** https://optimly.ai/brand/iomete.json
- **Markdown:** https://optimly.ai/brand/iomete/llms.txt
- **Official website:** https://iomete.com
- **Slug:** iomete
- **Categories:** ai-machine-learning, data-analytics-business-intelligence

## Overview

- **Tagline:** Built for the AI era with a hybrid-first deployment model (on-premises, private cloud, public cloud). It offers customer-controlled data ownership, superior data security and privacy, significant cost savings over SaaS, and a customizable platform, avoiding vendor lock-in and one-size-fits-all limitations.
Source: Brand's website (https://iomete.com) · 2026-10-04

- **Description:** Iomete offers a Sovereign Data Platform designed for the AI era, providing a hybrid-first, self-hosted data lakehouse solution. It allows organizations to manage massive datasets across on-premises, private, and public clouds, offering data ownership, enhanced security, and cost efficiency. The platform includes capabilities like data lakehouses, data catalog, SQL editor, Spark jobs, ML notebooks, and advanced data controls to turn data into business results.
Source: Brand's website (https://iomete.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - IOMETE Sovereign Data Platform
  - including Data Lakehouse(s)
  - Data Catalog
  - SQL Editor
  - Advanced Data Controls
  - Spark Jobs
  - ML Notebooks
  - Spark Connect
  - and Orchestration Engine.
Source: Brand's website (https://iomete.com) · 2026-10-04

- **Pricing:** Cost-efficient model that reduces storage and compute costs by optimizing on-premise/cloud mix, saving 2-5x over traditional SaaS/cloud solutions, implying a flexible licensing or usage model for self-managed infrastructure.
Source: Brand's website (https://iomete.com) · 2026-10-04

## Audience

- **Target industry:** Organizations dealing with petabyte-scale data, seeking to avoid vendor lock-in, reduce cloud costs, and enhance data privacy and security through customer-controlled, customizable hybrid data platforms, especially those focusing on AI-driven initiatives.
Source: Brand's website (https://iomete.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Databricks
  - Snowflake
Source: Brand's website (https://iomete.com) · 2026-10-04

Page last updated 2026-10-17.