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Overview
iomete is a managed cloud data analytics platform/infrastructure. In the core, it provides a data lakehouse with Multi-cluster Shared-data Architecture and mission-critical services around data to deliver an end-to-end data analytics experience.

Lakehouse

Lakehouse is an environment designed to combine the data structure and data management features of a data warehouse with the low-cost storage of a data lake. One of the important capabilities of lakehouse over data lake is it provides a structured transactional layer with support for ACID (atomic, consistent, isolated, durable) transactions, updates and deletes, and schema enforcement.

Multi-cluster Shared-data Architecture

Iomete provides a unified lakehouse (data lake + warehouse) solution based on an object store AWS S3, to provide a centralized location to store structured and unstructured data, following the design principles of Multi-cluster Shared-data Architecture; all the applications access iomete storage as the source of truth, as opposed to different data silos. This architecture allows us to store the data as-is, without having to first structure the data, and run different types of analytics to guide better decisions, building dashboards and visualizations from big data processing, real-time analytics, and machine learning. Another advantage of this architecture is isolating virtual warehouses based on use-cases (reporting, ETL, etc.) or by a team without duplicating data

End-to-End Unified Data Analytics Infrastructure

Iomete brings all the essential services in one platform. Instead of going to multiple vendors, you could get the same experience in a single place.
The following are the services iomete provides
  • Serverless Stream
  • Advanced Authorization Control
    • Table, Column, Row Level access control
    • Data Masking
    • Tag-based access control
  • Auditing
  • Data Catalog/Discovery
    • Google-like search for your data assets
    • PII/PCI auto-detection and tagging
    • Keeping all important metadata in a central place
      • Columns
      • Description
      • Tags
      • Table and column statistics
  • Serverless Spark Applications
  • Integrated BI (Apache Superset)
Last modified 3mo ago