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About iomete

Iomete is a data lakehouse platform from iomete that provides a self-hosted solution for modern data management. It includes scalability, security, and cost-effectiveness so organizations can manage their data efficiently. iomete is designed to support hybrid environments and is suitable for AI-driven workloads. The platform allows for flexible deployments and can be tailored to meet the specific needs of various data teams. Additionally, it offers forward-deployed engineering resources to extend the team’s capabilities. Key capabilities: self-hosted architecture scalable infrastructure reliable security features support for hybrid deployments built-in AI improvement Best for: data teams that need a secure and efficient data management solution.

iomete Details

Vendor
iomete
Year Launched
2020
Location
1049 El Monte Avenue Mountain View, CA 94040 USA
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese
Users
Data Engineers, Data Scientists, IT teams, Business Analysts, Machine Learning Professionals
Industries Served
Financial Institutions, Healthcare, Public Sector, Data Resellers, E-commerce, Retail
Tags
Data Lakehouse, Big Data, Real-Time Analytics, Apache Spark, Data Management, Data Security, Cloud Computing, Machine Learning, Business Intelligence, Data Integration, SQL Editor

iomete's In-App Market Place

Does iomete have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), RUB (₽), BRL (R$), MXN (Mex$), CHF (Fr.), SEK (kr), NOK (kr), DKK (kr), ZAR (R), SGD (S$)

Pros & Cons

  • A scalable, high-performance platform for big data processing
  • Advanced data management features with Apache Iceberg
  • Flexible deployment options
  • Strong integrations with BI tools and support for real-time analytics
  • User-friendly interface for data management
  • Transparent and cost-effective pricing
  • Some advanced features require technical expertise
  • Limited support for niche data sources
  • Potential data sovereignty challenges for regulated industries

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