IOMETE on Premise
You are in an on-premise environment and are looking for an effective data lake and warehousing solution.
Use Case
Challenge
You may identify with one or more of the following situations
You may desire a modern, cloud-like data analytics platform but cannot utilize cloud technology due to industry or federal regulations.
You have privacy and security concerns and want to fully own your data on-premise.
Scalability, robustness, and performance are the top priorities
You're tired of steep and fluctuating cloud bills, you may want to consider repatriating fully to on-premise solutions or transitioning to a hybrid solution
Solution
IOMETE on-premise provides a cloud-like data analytics experience directly in your on-premise environment
Deploy a modern and cloud-native data analytics platform within your on-premise 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 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.
IOMETE is a fully managed service. This means no updates or maintenance for you to worry about. You can focus on your data and business.
Start for free today
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 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
Resources
Guides
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.
Docs
Virtual lakehouses
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.
