Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
D2iQ Enterprise Kubernetes Platform (DKP)
Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale
D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge.
Solve the Toughest Enterprise Kubernetes Challenges
Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure.
* Enable Day 2 Readiness Out-of-the-Box Without Lock-In
* Simplify and Accelerate Kubernetes Adoption
* Ensure Consistency, Security, and Performance
* Expand Kubernetes Across Distributed Environments
* Ensure Fast, Simple Deployment of ML and Fast Data Pipeline
* Leverage Cloud Native Expertise
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, OpenSearch, 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.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Kafka
Yes
Prometheus
Yes
AWS Cloud9
Yes
Amazon EKS
Yes
Apache Cassandra
Yes
Apache ZooKeeper
No
Azure Kubernetes Service (AKS)
Yes
Calico Cloud
Yes
Google Kubernetes Engine (GKE)
Yes
Grafana Cloud
Yes
Integrations
Apache Kafka
Yes
Prometheus
Yes
AWS Cloud9
No
Amazon EKS
No
Apache Cassandra
No
Apache ZooKeeper
Yes
Azure Kubernetes Service (AKS)
No
Calico Cloud
No
Google Kubernetes Engine (GKE)
No
Grafana Cloud
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
D2iQ
Founded
2013
Country
United States
Website
d2iq.com
Vendor Details
Company Name
Stackable
Founded
2020
Country
Germany
Website
stackable.tech/
Product Features
Container Management
Access Control
Yes
Application Development
Yes
Automatic Scaling
Yes
Build Automation
Yes
Container Health Management
Yes
Container Storage
No
Deployment Automation
Yes
File Isolation
Yes
Hybrid Deployments
Yes
Network Isolation
Yes
Orchestration
Yes
Shared File Systems
Yes
Version Control
Yes
Virtualization
Yes
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
Yes
Data Quality Control
No
Data Security
Yes
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Warehouse
Ad hoc Query
No
Analytics
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
No