IOMETE and Snowflake
Combine Snowflake and IOMETE to reduce your costs by > 50% or ditch Snowflake all together and save even more.
Use Case
Challenge
You may have run into challenges
You want to avoid vendor lock-in. Having all your data on proprietary Snowflake may limit your flexibility and potentially increase costs in the long run.
You are using Snowflake and it is becoming increasingly costly. As data tends to grow over time, Snowflake’s consumption-based billing gets continuously more expensive for you.
You end up keeping data out of Snowflake for cost or security reasons. You want to keep sensitive data in your own cloud account to be compliant with regulations and/or privacy data ownership considerations and only send non-sensitive data to Snowflake.
You have started to wonder if there are better options out there.
Solution
IOMETE: we care about product and price
IOMETE runs in your cloud account. This means that you own your data for 100% with no risk of getting locked-in. You continue to rely on the security your cloud provider provides.
IOMETE has a transparent and simple pricing structure. We only charge $0.05 per vCPU hour. You get to choose what node you want to use and whether you wish to use on demand, reserved or spot instances. For instance, running scheduled ETL jobs on spot instances can easily save 80% over on demand instances.
IOMETE is an all-in-one platform with the best UI in the industry and you get access to all of it by default (no tiered plan). IOMETE handles up to petabyte scale data at blazing speeds.
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.
How to cut cost and get better performance
You might be using Snowflake for all compute jobs (top scenario in visual below). This can get expensive quickly.
IOMETE's lakehouse architecture makes it perfectly suited for the heavy lifting in the bronze and silver tiers (middle scenario). You can cut your total cloud / data bill in half by transferring compute jobs from Snowflake to IOMETE.
Over time you will transition to the bottom scenario and realize that you don't need Snowflake as IOMETE is better, faster at half the price.
(Hey Instacart, spending $100m on Snowflake is a bit rich...that's a lot of carrots and potatoes. We should talk... pretty sure we can save you > 50%...).
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.
