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About

The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, OpenSearch, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.

About

dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.

Audience

Machine learning teams and enterprises seeking a unified, cost-efficient orchestration layer to manage GPU-based development, training, and inference across cloud, Kubernetes, and on-prem environments

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Stackable
Founded: 2020
Germany
stackable.tech/

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

Canvas Credentials

Canvas Credentials

Instructure
Hercules

Hercules

Leisure Holding
CAPE

CAPE

Biqmind

Categories

Data Integration Supported
Data Management Supported
Data Warehouse Supported

Categories

AI Control Planes Supported
AI Development Supported

Data Management Features

Customer Data Not Supported
Data Analysis Not Supported
Data Capture Not Supported
Data Integration Not Supported
Data Migration Supported
Data Quality Control Not Supported
Data Security Supported
Information Governance Not Supported
Master Data Management Not Supported
Match & Merge Not Supported

Data Warehouse Features

Ad hoc Query Not Supported
Analytics Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Not Supported
ETL - Extract / Transfer / Load Supported
In-Memory Processing Not Supported
Match & Merge Not Supported

Integrations

Amazon Web Services (AWS) Not Supported
Apache Airflow Supported
Apache Druid Supported
Apache HBase Supported
Apache Hive Supported
Apache Iceberg Supported
Apache Kafka Supported
Apache NiFi Supported
Apache Spark Supported
Apache ZooKeeper Supported
Docker Supported
Git Supported
Google Cloud Platform Not Supported
Kubernetes Supported
Microsoft Azure Not Supported
MinIO Supported
OpenSearch Supported
Prometheus Supported
Python Not Supported
Trino Supported

Integrations

Amazon Web Services (AWS) Supported
Apache Airflow Not Supported
Apache Druid Not Supported
Apache HBase Not Supported
Apache Hive Not Supported
Apache Iceberg Not Supported
Apache Kafka Not Supported
Apache NiFi Not Supported
Apache Spark Not Supported
Apache ZooKeeper Not Supported
Docker Not Supported
Git Not Supported
Google Cloud Platform Supported
Kubernetes Not Supported
Microsoft Azure Supported
MinIO Not Supported
OpenSearch Not Supported
Prometheus Not Supported
Python Supported
Trino Not Supported
Claim Stackable and update features and information
Claim Stackable and update features and information
Claim dstack and update features and information
Claim dstack and update features and information