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Average Ratings 0 Ratings

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features
design
support

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Description

Event Hubs provides a fully managed service for real-time data ingestion that is easy to use, reliable, and highly scalable. It enables the streaming of millions of events every second from various sources, facilitating the creation of dynamic data pipelines that allow businesses to quickly address challenges. In times of crisis, you can continue data processing thanks to its geo-disaster recovery and geo-replication capabilities. Additionally, it integrates effortlessly with other Azure services, enabling users to derive valuable insights. Existing Apache Kafka clients can communicate with Event Hubs without requiring code alterations, offering a managed Kafka experience while eliminating the need to maintain individual clusters. Users can enjoy both real-time data ingestion and microbatching on the same stream, allowing them to concentrate on gaining insights rather than managing infrastructure. By leveraging Event Hubs, organizations can rapidly construct real-time big data pipelines and swiftly tackle business issues as they arise, enhancing their operational efficiency.

Description

We know how simple Apache Kafka®, can be when you have the right tools. kPow was created to simplify the Kafka development experience and save businesses time and money. kPow makes it easy to find the root cause of production problems in a matter of clicks and not hours. With kPow's Data Inspect and kREPL functions, you can search tens of thousands messages per second. Are you new to Kafka kPow's Kafka UI is unique and allows developers to quickly understand the core Kafka concepts. You can upskill new members of your team and increase your Kafka knowledge. kPow offers a range of Kafka management features and monitoring capabilities in a single Docker Container. You can manage multiple clusters and schema registries. Connect installs with one instance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

5X Yes 
AWS Glue No 
Abstract Security Yes 
Auth0 No 
Azure Marketplace Yes 
Azure-AD-External-Identities No 
Cogent DataHub Yes 
EMnify Yes 
Edge Delta Yes 
LDAP Admin Tool No 
LOGIQ Yes 
New Relic Yes 
Observo AI Yes 
Onum Yes 
PeerDB Yes 
PubSub+ Platform Yes 
Samza Yes 
Skycloak No 
Slack No 
TriggerMesh Yes 

Integrations

5X No 
AWS Glue Yes 
Abstract Security No 
Auth0 Yes 
Azure Marketplace No 
Azure-AD-External-Identities Yes 
Cogent DataHub No 
EMnify No 
Edge Delta No 
LDAP Admin Tool Yes 
LOGIQ No 
New Relic No 
Observo AI No 
Onum No 
PeerDB No 
PubSub+ Platform No 
Samza No 
Skycloak Yes 
Slack Yes 
TriggerMesh No 

Pricing Details

$0.03 per hour
Free Trial No 
Free Version No 

Pricing Details

$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 Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/event-hubs/

Vendor Details

Company Name

Factor House

Founded

2019

Country

Australia

Website

factorhouse.io

Product Features

Streaming Analytics

Data Enrichment No 
Data Wrangling / Data Prep No 
Multiple Data Source Support No 
Process Automation No 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

Product Features

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