CloudKarafka vs Dattell Managed Streaming for Kafka

Overview

CloudKarafka

Stacks2

Followers22

Votes0

Dattell Managed Streaming for Kafka

Stacks3

Followers4

Votes0

CloudKarafka vs Dattell Managed Streaming for Kafka: What are the differences?

Developers describe CloudKarafka as "Message streaming as a service powered by Apache Kafka". CloudKarafka automates every part of setup, running and scaling of Apache Kafka. CloudKarafka offers hosted publish-subscribe messaging systems in the cloud. With the ease of CloudKarafka you have a fully managed Kafka cluster up and running within two minutes, including a managed internal Zookeeper cluster on all nodes. On the other hand, Dattell Managed Streaming for Kafka is detailed as "Managed Kafka on Your Environment, 99.99% Uptime Guaranteed". It is a fully managed, high-throughput, distributed messaging system built on your cloud instances or on-prem servers. Our Managed Kafka solution is reliable with 99.99% uptime guaranteed, fault-tolerant, and ensures resilient message collection and processing, while allowing you to retain full authority over your data.

CloudKarafka and Dattell Managed Streaming for Kafka can be categorized as "Kafka as a Service" tools.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

CloudKarafka	Dattell Managed Streaming for Kafka
CloudKarafka automates every part of setup, running and scaling of Apache Kafka. CloudKarafka offers hosted publish-subscribe messaging systems in the cloud. With the ease of CloudKarafka you have a fully managed Kafka cluster up and running within two minutes, including a managed internal Zookeeper cluster on all nodes.	It is a fully managed, high-throughput, distributed messaging system built on your cloud instances or on-prem servers. Our Managed Kafka solution is reliable with 99.99% uptime guaranteed, fault-tolerant, and ensures resilient message collection and processing, while allowing you to retain full authority over your data.
-	99.99% Uptime Guarantee; 24/7 On-call; Real-time Monitoring & Alerting; Manual Configuration of Apache Kafka; Built on Your Environment; Safeguards to Support Data Spikes; High Availability and High Throughput; Enhanced Security
Statistics
Stacks 2	Stacks 3
Followers 22	Followers 4
Votes 0	Votes 0
Integrations
Logentries Amazon CloudWatch Splunk Cloud PagerDuty Heroku Kafka Loggly Papertrail Google Compute Engine VictorOps	Kafka

What are some alternatives to CloudKarafka, Dattell Managed Streaming for Kafka?

Confluent

It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream

Amazon Managed Streaming for Kafka

With Amazon MSK, you can use Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Amazon Managed Streaming for Kafka makes it easy for you to build and run production applications on Apache Kafka without needing Apache Kafka infrastructure management expertise.

Apache Kafka on Heroku

Apache Kafka is a distributed commit log for fast, fault-tolerant communication between producers and consumers using message based topics. Kafka provides the messaging backbone for building a new generation of distributed applications capable of handling billions of events and millions of transactions.

Aiven for Apache Kafka

It is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.

Conduktor

It is an enterprise platform for Apache Kafka that offers a friendly GUI, a unified testing platform, data quality management and advanced monitoring tools. With thousands of happy users from some of the world’s leading companies, it helps engineering teams everywhere harness the power of real-time data.