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ease
features
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support

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Write a Review

Description

Uncover and rely on data for your analyses and models while enhancing productivity by dismantling silos. Gain instant insights into data usage by others and locate data within your organization effortlessly through a straightforward text search. Utilizing a PageRank-inspired algorithm, the system suggests results based on names, descriptions, tags, and user activity associated with tables or dashboards. Foster confidence in your data with automated and curated metadata that includes detailed information on tables and columns, highlights frequent users, indicates the last update, provides statistics, and offers data previews when authorized. Streamline the process by linking the ETL jobs and the code that generated the data, making it easier to manage table and column descriptions while minimizing confusion about which tables to utilize and their contents. Additionally, observe which data sets are commonly accessed, owned, or marked by your colleagues, and discover the most frequent queries for any table by reviewing the dashboards that leverage that specific data. This comprehensive approach not only enhances collaboration but also drives informed decision-making across teams.

Description

IOMETE is a sovereign data lakehouse platform built to support modern data analytics and AI-driven workloads at enterprise scale. The platform allows organizations to store, manage, and process massive datasets within infrastructure they fully control. Unlike traditional cloud-only solutions, IOMETE can be deployed on-premises, in private clouds, public clouds, or hybrid environments. This flexible architecture helps organizations maintain full ownership of their data while avoiding vendor lock-in. The platform integrates data lakehouse capabilities with tools such as Spark processing, SQL query editors, Jupyter notebooks, and orchestration engines. These components allow data engineers, analysts, and data scientists to build pipelines, analyze datasets, and develop machine learning models in one environment. IOMETE also provides a centralized data catalog to help teams discover, manage, and understand their data assets. Advanced security controls allow organizations to manage access permissions across users, teams, and datasets with detailed governance rules. By reducing reliance on SaaS-based infrastructure, the platform can also help organizations optimize storage and compute costs. Overall, IOMETE delivers a flexible and secure data platform built specifically for the growing data demands of the AI era.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon Redshift
Apache Cassandra
Apache Druid
Apache Hive
Apache Spark
Delta Lake
Google Cloud BigQuery
Google Cloud Platform
IBM Db2
Looker
MySQL
OpenMetadata
Oracle Cloud Infrastructure
PostgreSQL
Snowflake
Tableau
Vertica

Integrations

Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon Redshift
Apache Cassandra
Apache Druid
Apache Hive
Apache Spark
Delta Lake
Google Cloud BigQuery
Google Cloud Platform
IBM Db2
Looker
MySQL
OpenMetadata
Oracle Cloud Infrastructure
PostgreSQL
Snowflake
Tableau
Vertica

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amundsen

Country

United States

Website

www.amundsen.io

Vendor Details

Company Name

IOMETE

Founded

2020

Country

United States

Website

iomete.com

Product Features

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Alternatives

Alternatives