kPowFactor House
|
||||||
Related Products
|
||||||
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
We know how easy Apache Kafka® can be with the right tools. We built kPow to make the developer experience with Kafka simple and enjoyable, and to save businesses time and money while growing their Kafka expertise. kPow allows you to get to the heart of production issues in clicks, not hours. Search tens of thousands of messages a second with kPow’s powerful Data Inspect and kREPL functions. New to Kafka? kPow’s unique Kafka UI allows developers to quickly and easily understand core Kafka concepts and gotchas. Upskill new team members, and grow your internal Kafka expertise. kPow provides a suite of Kafka management and monitoring features in a single Docker Container or JAR file. Manage multiple clusters, schema registries, and connect installs with one instance.
|
|||||
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
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
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
Anyone in need of a Kafka monitoring, management and learning tool for engineers and teams
|
|||||
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
$2,650 per cluster per year
Kpow offers a flexible pricing structure tailored to meet the diverse needs of engineering teams and enterprises working with Apache Kafka.
Start with a free 30-day trial to explore the full capabilities of Kpow's Commercial edition, including advanced analytics, multi-cluster monitoring, and enterprise-grade security features. After the trial, choose from our Team plan, ideal for smaller teams or organizations scaling their Kafka operations, or the Enterprise plan, designed for large-scale, mission-critical environments with dedicated support and enhanced integrations. For those who opt not to upgrade after the trial, a Forever-Free Community Edition provides essential Kafka monitoring and visualization tools to maintain basic operational efficiency. Pricing ensures that every team, from startups to global enterprises, can unlock the full potential of their Kafka ecosystems. More info on our pricing page
Free Version
Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationStackable
Founded: 2020
Germany
stackable.tech/
|
Company InformationFactor House
Founded: 2019
Australia
factorhouse.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
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
Apache Kafka
Supported
Prometheus
Supported
Amazon MSK
Not Supported
Apache Airflow
Supported
Apache HBase
Supported
Apache Hive
Supported
Apache Spark
Supported
Apache ZooKeeper
Supported
Auth0
Not Supported
Azure-AD-External-Identities
Not Supported
|
Integrations
Apache Kafka
Supported
Prometheus
Supported
Amazon MSK
Supported
Apache Airflow
Not Supported
Apache HBase
Not Supported
Apache Hive
Not Supported
Apache Spark
Not Supported
Apache ZooKeeper
Not Supported
Auth0
Supported
Azure-AD-External-Identities
Supported
|
|||||
|
|
|