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iomete

by iomete · Since 2020
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ActiveAvailable globallyCloudOn-premiseFree tier
Quick facts
Vendoriomete
Year launched2020
StatusActive
Location1049 El Monte Avenue Mountain View, CA 94040 USA
Countries servedGlobal
Languages6
Integrations3+
Free tierYES
Free trialN/A
Contact salesYES

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 is a modern data lakehouse platform designed to handle large-scale data processing and analytics with high efficiency and flexibility. It is built on top of Apache Spark and uses the Apache Iceberg table format, which provides advanced features like ACID transactions, time travel, schema evolution, and data versioning. This robust foundation ensures that businesses can manage vast amounts of data securely and perform complex analytics tasks with ease. IOMETE positions itself as a smart alternative to traditional data warehouse solutions, offering on-premise and hybrid deployment options that allow users to maintain control over their data while accessing the high-performance capabilities of the cloud. The user interface of IOMETE is sleek and intuitive, designed to cater to both technical and non-technical users. With a clean layout, the platform enables easy navigation through its various functionalities, such as data syncing, transformation, and analysis. The built-in SQL editor offers a comprehensive toolkit that simplifies the process of writing queries, with features like autocomplete and schema exploration that enhance user experience.

Pros & Cons

Pros
  • 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
Cons
  • Some advanced features require technical expertise
  • Limited support for niche data sources
  • Potential data sovereignty challenges for regulated industries

Features

Key features

1. Apache Iceberg Table Format

Provides access to ACID transactions, time travel, schema evolution, data versioning, metadata management, and partitioning.

2. Serverless Data Lakehouse

Built on Apache Spark, offering fast, scalable, and versatile data processing.

3. Data Synchronization and Federation

Allows syncing from a wide range of data sources and performing query federation on disparate systems in the same SQL query.

4. Real-Time Streaming Analytics

Powerful Spark job cluster for near real-time data streaming from sources like IoT devices, financial transactions, and social media feeds.

5. Data Transformation and Cleaning

Integrated with Apache Spark and DBT, enabling seamless data transformation, cleaning, and organizing.

6. SQL Editor for Ad-Hoc Analysis

Built-in SQL editor with autocomplete, search, and schema explorer for easy querying.

7. Data Catalog and Search

A Google-like search feature for indexing and discovering data, with documentation support to maintain organization.

8. Advanced Data Access Control

Data access controls at person, team, table, row, and column levels for compliance with regulations like SOC2, HIPAA, and GDPR.

9. Machine Learning (ML) and AI Integration

Supports ML and AI model deployment with features like training on Spark clusters and unlimited time-travel on data lakes.

10. BI Tool Integration

Easy integration with BI tools like Tableau, PowerBI, and Metabase for powerful data analytics and dashboarding.

11. Deployment Options

Offers on-premise, hybrid, and private cloud deployment, with cloud-only options on AWS, Azure, and Google Cloud.

Additional features

1. Apache Iceberg Support – Enables high-level data management features such as ACID transactions and schema evolution.
2. Cloud and On-Premise Deployment – Flexible deployment in a secure perimeter, on cloud, or in a hybrid configuration.
3. Federated Queries – Access and analyze data across multiple sources, including object storage, relational, and NoSQL systems, in one unified query.
4. Real-Time Data Processing – Supports real-time analytics from streaming data sources like IoT devices.
5. Powerful Data Transformation – Handle large-scale data transformation using Spark and DBT, optimized for massive datasets.
6. SQL Querying – Advanced SQL editor for on-the-fly querying and analysis, including features like autocomplete and schema exploration.
7. Data Cataloging and Discovery – Catalog and index data, enabling users to easily find and document it for better organization.
8. Data Access Control – Fine-grained access control over data at multiple levels (user, table, column, row).
9. Machine Learning and AI – Supports ML/AI models and notebooks on Apache Spark, plus time-travel features to enhance model accuracy.
10. Integration with BI Tools – Seamlessly integrates with Tableau, Power BI, Apache Superset, and Metabase.
11. Scalable Infrastructure – Built on Apache Spark, it’s capable of processing petabytes of data in parallel across distributed clusters.
12. Hybrid Cloud Infrastructure – Offers flexibility for companies looking for both on-premise and cloud solutions.
13. Data Security and Compliance – High standards of data protection with certifications like SOC 2, HIPAA, and GDPR for secure and compliant data management.
14. Cost Transparency – Disruptive pricing structure with no surprise bills or hidden costs, focusing on transparency and control over operational expenses.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
6
Interface languages
17
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortuguese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇳CNY🇮🇳INR🇷🇺RUB🇧🇷BRL🇲🇽MXN🇨🇭CHF🇸🇪SEK🇳🇴NOK🇩🇰DKK🇿🇦ZAR🇸🇬SGD

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