IOMETE Blog

DEC 5, 2025

IOMETE in the 2025 Gartner® Market Guide for Lakehouses

IOMETE was included in the 2025 Gartner® Market Guide for Data Lakehouse Platforms. What the guide says about the category and self-hosted platforms.

IOMETE Blog

IOMETE in the 2025 Gartner® Market Guide for Lakehouses

Dremio is now SAP: what it means and how to migrate

Comet in IOMETE 4.0: Same SQL, 42% Less Time

On-premises lakehouse reference architecture for banks

Data sovereignty for the public sector: a platform blueprint

Control Plane vs Data Plane in Kubernetes and IOMETE

How We Built Disaster Recovery for IOMETE Without Changing the Platform

Runtime PII & PHI Masking in the Spark Query Engine

Why We Rebuilt Iceberg Orphan File Cleanup from Scratch

Running Iceberg Maintenance in Production: A Practical Guide for Data Teams

How We Built Automated Table Maintenance at IOMETE

The Iceberg Table Maintenance Landscape: From Open-Source to Fully Managed

Data Sovereignty for Regulated Finance: DORA & Private Cloud

Self-Hosted Data Platform on Private Cloud: Architecture

Sovereign AI: Run ML on a Private-Cloud Lakehouse

Sovereign Data Platform: Run AI and ML on Your Private Cloud

AI Use Cases in Retail, Telecom, and Finance

Banking Data Lakehouse Use Cases That Actually Ship

How Data Federation Reshapes the Org Chart

The Four Pillars of AI-Ready Data

Proof at Scale: The Sovereign Lakehouse Is Not Theoretical

What Is a Sovereign Data Platform? A Precise Definition

Why Enterprise AI Fails: It's the Data, Not the Model

Apache Iceberg Table Maintenance: What Iceberg Ships and What It Doesn't

Column-Level Data Masking at Scale: Automating Tags Across Thousands of Columns

Federated query: how it works and when to use it

The Hidden Debt in Your Lakehouse Tables (And Why You Should Care)

Data lakehouse for banks: what regulated institutions actually need from their data platform

Modern Secrets Management for Data Platforms

Databricks alternatives for self-hosted data lakehouses in 2026

DORA and EU AI Act compliance: data infrastructure checklist for financial institutions

How to Build a Self-Hosted Data Lakehouse on Kubernetes

Why IOMETE is built for regulated enterprise data teams

CLOUD Act Reality Check: Encryption Does Not Guarantee Data Sovereignty

Data Residency vs Data Sovereignty: Why Location Alone Doesn't Protect Your Data

Lakehouse encryption: hands-on lab with SSE, CSE, Spark and Iceberg

Self-Hosted S3 Storage Compared: Ceph, SeaweedFS, Garage

Access Delegation in Apache Iceberg: Credential Vending and Remote Signing

Data Sovereignty in 2026: DORA & EU AI Act Guide

How Fortune 500 Companies Cut Data Platform Costs 40-60% With Self-Hosted Lakehouses

Streaming-First Lakehouse Architecture: Why 2026 Is the Year Real-Time CDC Replaces Batch ETL

Apache Iceberg Production Anti-Patterns - What Breaks in 2026 (And How to Fix It)

Why Enterprises Move from SaaS to Self-Hosted Lakehouses

K8S Gateway API -> iom-gateway

Scaling Machine Learning: From Your Laptop to the IOMETE Lakehouse

Data Lakehouse Encryption: Encrypting Data at Rest in Apache Iceberg

Apache Iceberg ACID Transactions for Data Lakehouses

Local Enterprise AI Development with IOMETE Platform

The Iceberg Maintenance Runbook: Snapshots, Orphan Files, and Metadata Bloat

Merge-on-Read vs Copy-on-Write in the Real World Performance, Pitfalls, and When to Use Which

Why Is My Iceberg Compaction So Slow? A Practical Guide to Scaling Maintenance Jobs

Job Orchestrator End-to-End Design Journey

The Complete Guide to IOMETE's LDAP Integration and Automatic Sync

Zero to Analytics from raw data to real insights in under 30 minutes

Iceberg disaster recovery

Data Platform Security

API Access Tokens in IOMETE

Migrating from Oracle to IOMETE/Spark

Understanding Cloud Repatriation The Shift Back to On-Premises Infrastructure

Data Lakehouse Architecture: Why Control and Cost Matter

Key Tools in the Kubernetes-Native Data Stack

Future Trends in Kubernetes-Native Data Engineering

Performance Optimization in Kubernetes

Patterns and Best Practices in Kubernetes-Native Data Engineering

Why Data Engineering Teams Are Moving to Kubernetes

Copy-on-Write Tables in Apache Iceberg

Kubernetes-Native Deployment in Data Engineering

Optimize CPU and memory usage for Kubernetes deployments

Apache Arrow Format Explained: Columnar In-Memory Data

Snowflake Alternatives for Self-Hosted and On-Prem Data

Transforming Every Business into an Intelligent Enterprise

IOMETE Platform Components and Enterprise Architecture

Reimagining Product Design with AI

IOMETE Core Components Technical Architecture

IOMETE Deployment Models: On-Prem, Cloud, Hybrid, Air-Gap

Data as a Product for large enterprises

Evolution of data architecture

Building an Enterprise Data Platform

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