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Description

A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.

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

AWS Glue No 
Amazon MSK No 
Apache Kafka No 
Apache Spark Yes 
Azure Databricks Yes 
Azure-AD-External-Identities No 
Confluent No 
Elastic Cloud Yes 
Keycloak No 
LDAP Admin Tool No 
MongoDB Yes 
OAuth No 
Oracle Fusion Cloud ERP Yes 
Presto Yes 
Prometheus No 
PyTorch Yes 
SAP ERP Yes 
Slack No 
Snowflake Yes 
TensorFlow Yes 

Integrations

AWS Glue Yes 
Amazon MSK Yes 
Apache Kafka Yes 
Apache Spark No 
Azure Databricks No 
Azure-AD-External-Identities Yes 
Confluent Yes 
Elastic Cloud No 
Keycloak Yes 
LDAP Admin Tool Yes 
MongoDB No 
OAuth Yes 
Oracle Fusion Cloud ERP No 
Presto No 
Prometheus Yes 
PyTorch No 
SAP ERP No 
Slack Yes 
Snowflake No 
TensorFlow No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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

EMQ

Founded

2013

Country

United States

Website

hstream.io

Vendor Details

Company Name

Factor House

Founded

2019

Country

Australia

Website

factorhouse.io

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Product Features

Alternatives

Alternatives

Amazon MSK Reviews

Amazon MSK

Amazon
ksqlDB Reviews

ksqlDB

Confluent
Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation