The self-hosted data lakehouse platform for the age of AI.
Deploy IOMETE to your own infrastructure. No data ever leaves your security boundary. Ideal for highly regulated industries like Financial Services, Healthcare, Government and Technology.
Take full control of your data.
SaaS solutions offer convenience for organizations with smaller datasets seeking to avoid infrastructure investments and maintenance burdens. However, larger enterprises—typically equipped with capable data teams— prioritize data ownership, security, flexibility, and cost-efficiency. For these organizations, IOMETE's self-hosted data lakehouse platform presents an ideal solution.
IOMETE
IOMETE is installed within the customer’s trust perimeter, whether on-premises or in the cloud – providing organizations full control over their data at significantly lower costs.
Competitors
SaaS has been the prevailing delivery model over the past 15 years but comes with severe limitations for large enterprises that wish to avoid vendor lock-in, rigidity and runaway cost.
IOMETE
Anywhere
IOMETE is installed within the customer’s trust perimeter, whether on-premises or in the cloud – providing organizations full control over their data at significantly lower costs.
Competitors
Public cloud only
Most SaaS solutions only run on public clouds (i.e. AWS, Azure, GC).
IOMETE
Customer-controlled
With IOMETE’s unique self-hosted architecture, the customer maintains complete control and ownership over their data.
Competitors
Vendor-controlled
The SaaS vendor controls the infrastructure, software and hardware where the data is stored. This results in vendor lock-in.
IOMETE
Customer independence
With IOMETE, the customer has complete independence. Customers can implement bespoke security measures and manage all aspects of data protection.
Competitors
Vendor-dependent
With SaaS one is dependent on external parties for critical aspects of one’s data security. Just recently this has led to data leaks.
IOMETE
Cost efficient
IOMETE is significantly more cost-efficient (factor > 2x) at higher compute volumes. Customers can store data on-premises and in the cloud, and fully capture the upside from cloud discounts, spot and reserved instances.
Competitors
Expensive
SaaS gets expensive quickly at higher compute volumes. Vendors mark up AWS, Azure and GC instances significantly. Customers can’t benefit from cloud discounts.
IOMETE
Tailored to your needs
IOMETE becomes an extension of your team. Enterprises with data stored in multiple on-premises locations with different cloud providers need a tailored solution with dedicated support, not just a support number.
Competitors
One-size-fits-all
SaaS solutions are per definition one-size-fits-all. This may be convenient for organizations that have just started on their data journey, but doesn’t cut it for more complex environments.
IOMETE is the next-generation data engineering platform for managing and extracting value from large data sets.
IOMETE data engineering platform
IOMETE is not just a product. We become an extension of your engineering team.
Data engineering in complex environments can be quite challenging. This complexity necessitates ongoing communication between the developers of the data platform and its users.
Therefore, we aim to act as an extension of your team, as this collaboration is the most effective way to help you achieve your goals.
Read our latest insights.
Apache Iceberg vs Delta Lake case study
When it comes to storing and managing large amounts of data, the choice of technology can make all the difference. In this blog post we explain why IOMETE chooses Apache Iceberg over Delta Lake.
Democratize your data.
Imagine a unified environment with all your organization’s data, whether it’s housed on-premises or in the cloud. Consider advanced access controls that let you fine-tune permissions to the level of individual users, teams, tables, columns or rows, ensuring that each team has precisely the data they need.
See what IOMETE can do.
Easily spin up multiple lakehouses tailored to specific needs – separate environments for development, testing, and production workloads, or dedicated lakehouses for different business units, regions, or data domains.
Spark Connect lets you seamlessly run Spark workloads from your preferred development environment. Code in Python, R, or SQL using familiar tools like Jupyter notebooks while leveraging IOMETE’s distributed computing power. Connect, analyze, and process data at scale without leaving your local setup.
Connect to IOMETE’s lakehouses through interactive Jupyter notebooks. Run Python, R, or SQL code against your data using familiar notebook interfaces, with built-in kernels that handle distributed processing seamlessly.
Write, analyze, and optimize SQL queries with IOMETE's built-in editor. Features intelligent autocompletion, query history, and visual explain plans to help you write efficient queries against your lakehouse data.
Track and review all previously executed queries with detailed runtime statistics, execution plans, and performance metrics. Easily reuse successful queries and troubleshoot performance bottlenecks.
Deploy and manage custom Spark applications through IOMETE’s interface. Monitor resources, track performance metrics, and schedule jobs with built-in orchestration capabilities, all while maintaining full control over your Spark environment.
Process real-time data streams from sources like Apache Kafka, Amazon Kinesis, and Apache Pulsar to gain immediate insights and trigger actions.
Save and reuse your data processing workflows, making it easy to standardize and automate your data pipelines.
Easily discover, understand, and trust your data assets with a centralized repository that provides metadata, lineage, and quality information.
Interactively explore and query your data, allowing you to quickly analyze and understand your datasets.
Securely manage and control access to your data at the table, row, column, as well as the user, group, team, and department level, ensuring that only authorized individuals and teams can access the specific data they need.
Protect sensitive data by automatically replacing it with realistic but fictional values, allowing you to safely use data for development, testing, and analytics without compromising privacy.
Use tags to enforce access policies based on data categorization. Organize and categorize your data using custom tags, making it easier to search, filter, and manage your data assets. This helps improve data discovery, data security, and understanding across your organization.
IOMETE lets you organize and govern your data by subject area (e.g. customer, product, finance) to simplify data discovery, access control, and compliance with regulations like GDPR.
Easily connect to your favorite BI tool by using the SQL endpoint.
Easily spin up multiple lakehouses tailored to specific needs – separate environments for development, testing, and production workloads, or dedicated lakehouses for different business units, regions, or data domains.
Spark Connect lets you seamlessly run Spark workloads from your preferred development environment. Code in Python, R, or SQL using familiar tools like Jupyter notebooks while leveraging IOMETE’s distributed computing power. Connect, analyze, and process data at scale without leaving your local setup.
Connect to IOMETE’s lakehouses through interactive Jupyter notebooks. Run Python, R, or SQL code against your data using familiar notebook interfaces, with built-in kernels that handle distributed processing seamlessly.
Write, analyze, and optimize SQL queries with IOMETE's built-in editor. Features intelligent autocompletion, query history, and visual explain plans to help you write efficient queries against your lakehouse data.
Track and review all previously executed queries with detailed runtime statistics, execution plans, and performance metrics. Easily reuse successful queries and troubleshoot performance bottlenecks.
Deploy and manage custom Spark applications through IOMETE’s interface. Monitor resources, track performance metrics, and schedule jobs with built-in orchestration capabilities, all while maintaining full control over your Spark environment.
Process real-time data streams from sources like Apache Kafka, Amazon Kinesis, and Apache Pulsar to gain immediate insights and trigger actions.
Save and reuse your data processing workflows, making it easy to standardize and automate your data pipelines.
Easily discover, understand, and trust your data assets with a centralized repository that provides metadata, lineage, and quality information.
Interactively explore and query your data, allowing you to quickly analyze and understand your datasets.
Securely manage and control access to your data at the table, row, column, as well as the user, group, team, and department level, ensuring that only authorized individuals and teams can access the specific data they need.
Protect sensitive data by automatically replacing it with realistic but fictional values, allowing you to safely use data for development, testing, and analytics without compromising privacy.
Use tags to enforce access policies based on data categorization. Organize and categorize your data using custom tags, making it easier to search, filter, and manage your data assets. This helps improve data discovery, data security, and understanding across your organization.
IOMETE lets you organize and govern your data by subject area (e.g. customer, product, finance) to simplify data discovery, access control, and compliance with regulations like GDPR.
Easily connect to your favorite BI tool by using the SQL endpoint.
The cornerstone of our security strategy is our unique self-hosted architecture.
IOMETE operates entirely within the customer’s trust perimeter, whether on-premises or in the customer’s cloud account. This setup ensures that customers maintain complete control and ownership of their data.
By minimizing data movement, we not only reduce costs but also significantly lower the risk of data leaks or loss, while preventing vendor lock-in. Thanks to IOMETE’s unique self-hosted architecture, it’s impossible for us to lose your data simply because it is stored in your trust environment.
Starting with IOMETE is simple. Book a demo with us today.
The IOMETE data platform helps you achieve more. Book a personalized demo and experience the impact firsthand.