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Apache Kafka VS Domo

Compare Apache Kafka VS Domo and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Domo logo Domo

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • Domo Landing page
    Landing page //
    2023-10-08

Apache Kafka videos

+ Add

Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka

More videos:

  • Review - Apache Kafka - Getting Started - Kafka Multi-node Cluster - Review Properties
  • Review - 4. Apache Kafka Fundamentals | Confluent Fundamentals for Apache Kafka®
  • Review - Apache Kafka in 6 minutes
  • Review - Apache Kafka Explained (Comprehensive Overview)
  • Review - 2. Motivations and Customer Use Cases | Apache Kafka Fundamentals

Domo videos

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Domo Overview

More videos:

  • Review - Domo Customer Review: National Geographic
  • Review - Domo Customer Review: La-Z-Boy

Category Popularity

0-100% (relative to Apache Kafka and Domo)

Apache Kafka

Domo

Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Kafka and Domo

Apache Kafka Reviews

Best message queue for cloud-native apps
If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
Apache Kafka is a highly scalable and robust messaging queue system designed by LinkedIn and donated to the Apache Software Foundation. It's ideal for real-time data streaming and processing, providing high throughput for publishing and subscribing to records or messages. Kafka is typically used in scenarios that require real-time analytics and monitoring, IoT applications,...
Source: blog.iron.io
10 Best Open Source ETL Tools for Data Integration
It is difficult to anticipate the exact demand for open-source tools in 2023 because it depends on various factors and emerging trends. However, open-source solutions such as Kubernetes for container orchestration, TensorFlow for machine learning, Apache Kafka for real-time data streaming, and Prometheus for monitoring and observability are expected to grow in prominence in...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Kafka is an Open-Source Data Streaming Tool written in Scala and Java. It publishes and subscribes to a stream of records in a fault-tolerant manner and provides a unified, high-throughput, and low-latency platform to manage data.
Source: hevodata.com
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
One of the biggest drawbacks of Apache Kafka is the architecture that makes it so efficient. The combination of brokers and ZooKeeper nodes, along with numerous configurable options, can make it difficult and complex for new teams to set up and manage without encountering performance issues or data loss. However, Kafka can work without ZooKeeper after 3.3.1 version using...
Source: gcore.com

Domo Reviews

25 Best Statistical Analysis Software
Intuitive interface: Domo offers an easy-to-use interface that allows users to quickly navigate and interact with their data, making it suitable for users with varying levels of technical expertise.
Source: www.scijournal.org
Funnel.io Alternatives and Competitors in 2022
Domo is software that specializes in data visualization and business intelligence. Here you can find more information about Domo alternatives and competitors.
Source: improvado.io
The Top 14 Marketing Analytics Tools For Every Business
The Domo platform is best for C-level executives working at enterprise companies who are looking for a non-marketing specific BI tool to be used company-wide, one that can create executive level dashboards. Domo is not focused specifically on data from marketing efforts. It is used for more general business data. This means that when it comes to company-wide business...
Source: improvado.io
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
"Prior to investing in DOMO ensure that your data sources will allow an outside feed/API. We did find one of our EHRs would not allow this and it requires a manual process for us to feed the data to DOMO. This does not allow real-time data to be reflected in several of our reports."
Source: improvado.io

Social recommendations and mentions

Based on our record, Apache Kafka seems to be a lot more popular than Domo. While we know about 120 links to Apache Kafka, we've tracked only 1 mention of Domo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Kafka mentions (120)

  • Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack
    In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 2 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
  • How to Use Reductstore as a Data Sink for Kafka
    Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 4 months ago
  • How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
    RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 4 months ago
View more

Domo mentions (1)

  • URL with Login code
    We currently use domo.com and need to display dashboards to screens. Source: almost 2 years ago

What are some alternatives?

When comparing Apache Kafka and Domo, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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