IOMETE and Public Sector
Learn how IOMETE can be a secure, high performance solution for the Public Sector.
You are experiencing one or more of the following challenges
You have a high amount of unstructured and semi-structured data (> 5 TB).
You want easy access to a modern and open lakehouse platform that allows you to become truly data-driven.
You want cloud-like performance, but need an on-premise or VPC solution.
You have privacy and security concerns and want to own your data 100%, fully in your environment.
IOMETE is a modern cloud-prem lakehouse that provides a scalable, cost-effective, and secure data lakehouse and data warehouse solution in your own cloud environment
The IOMETE lakehouse combines the strengths of data lakes and data warehouses, providing the scalability and flexibility of a data lake with the structure of a data warehouse.
IOMETE provides a modern, open lakehouse solution built on Apache Spark and Iceberg. It is designed to be flexible and open, preventing vendor lock-in and allowing you to choose the tools and services that best suit your needs.
With IOMETE, users with less technical expertise can perform data science and analytics at scale with the help of a unified analytics platform that provides an easy way to build end-to-end data pipelines and ML use cases.
IOMETE charges a low, flat monthly fee instead of a heavily marked-up pay-per-hour consumption model, which can quickly become expensive as data sizes increase. Save big, budget your costs upfront, and don't worry about fluctuating bills.
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Start Free Plan
Start on the Free Plan. You can use the plan as long as you want. It is surprisingly complete. Check out the plan features here.
Start Free Trial
Start a 15-day Free Trial. In the Free Trial you get access to the Enterprise Plan and can explore all features. No credit card required. After 15 days you’ll be automatically transitioned to the Free Plan
How to install IOMETE
Easily install IOMETE on AWS using Terraform and enjoy the benefits of a cloud lakehouse platform.
Querying Files in AWS S3
Effortlessly run analytics over the managed Lakehouse and any external files (JSON, CSV, ORC, Parquet) stored in the AWS S3 bucket.
Getting Started with Spark Jobs
This guide aims to help you get familiar with getting started with writing your first Spark Job and deploying in the IOMETE platform.
A virtual lakehouse is a cluster of compute resources that provide the required resources, such as CPU, and memory, to perform the querying processing.
Iceberg tables and Spark
IOMETE features Apache Iceberg as its table format and uses Apache Spark as its compute engine.
The SQL editor
This guide aims to help you get familiar with getting startedThe SQL Editor is where you run queries on your dataset and get results.with writing your first Spark Job and deploying in the IOMETE platform.