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What is kPow?

Apache Kafka® can be incredibly straightforward when equipped with the appropriate tools, and that's precisely why kPow was developed—to enhance the Kafka development process while helping organizations save both time and resources. With kPow, pinpointing the source of production issues becomes a task of mere clicks rather than lengthy hours of investigation. Leveraging features like Data Inspect and kREPL, users can efficiently sift through tens of thousands of messages every second. For those new to Kafka, kPow's distinctive UI facilitates a quick grasp of fundamental Kafka principles, enabling effective upskilling of team members and broadening their understanding of Kafka as a whole. Additionally, kPow is packed with numerous Kafka management functions and monitoring capabilities all bundled into a single Docker Container, providing the flexibility to oversee multiple clusters and schema registries seamlessly, all while allowing for easy installation with just one instance. This comprehensive approach not only streamlines operations but also empowers teams to harness the full potential of Kafka technology.

What is Instaclustr?

Instaclustr, a company focused on Open Source-as-a-Service, ensures dependable performance at scale. Our services encompass database management, search functionalities, messaging solutions, and analytics, all within a reliable, automated managed environment that has been tested and proven. By partnering with us, organizations can direct their internal development and operational efforts towards building innovative applications that enhance customer experiences. As a versatile cloud provider, Instaclustr collaborates with major platforms including AWS, Heroku, Azure, IBM Cloud, and Google Cloud Platform. In addition to our SOC 2 certification, we pride ourselves on offering round-the-clock customer support to assist our clients whenever needed. This comprehensive approach to service guarantees that our clients can operate efficiently and effectively in their respective markets.

Media

Media

Integrations Supported

Apache Kafka
AWS Glue
Amazon MSK
Amazon Web Services (AWS)
Apache Cassandra
Apache Spark
Apache ZooKeeper
Azure Marketplace
Confluent
DigitalOcean
Elasticsearch
Google Virtual Private Cloud (VPC)
IBM Cloud
Keycloak
LDAP Admin Tool
OAuth
PostgreSQL
Prometheus
Redis
Skycloak

Integrations Supported

Apache Kafka
AWS Glue
Amazon MSK
Amazon Web Services (AWS)
Apache Cassandra
Apache Spark
Apache ZooKeeper
Azure Marketplace
Confluent
DigitalOcean
Elasticsearch
Google Virtual Private Cloud (VPC)
IBM Cloud
Keycloak
LDAP Admin Tool
OAuth
PostgreSQL
Prometheus
Redis
Skycloak

API Availability

Has API

API Availability

Has API

Pricing Information

$2,650 per cluster per year
Free Trial Offered?
Free Version

Pricing Information

$20 per node per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Factor House

Date Founded

2019

Company Location

Australia

Company Website

factorhouse.io

Company Facts

Organization Name

Instaclustr

Date Founded

2013

Company Location

United States

Company Website

www.instaclustr.com

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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Factor House