Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, Apache Druid, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.
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
Integrations
Amazon Web Services (AWS)
Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
Integrations
Amazon Web Services (AWS)
Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
Pricing Details
Free
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
Stackable
Founded
2020
Country
Germany
Website
stackable.tech/
Vendor Details
Company Name
IOMETE
Founded
2020
Country
United States
Website
iomete.com
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management