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Apache Kafka VS ClicData

Compare Apache Kafka VS ClicData and see what are their differences

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Apache Kafka logo Apache Kafka

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

ClicData logo ClicData

End-to-end Data & BI Platform including a business dashboard creator, extensive data manipulation tools & automatic data refresh, and publication.
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • ClicData Landing page
    Landing page //
    2023-09-08

ClicData is a cloud-based platform that enables you to seamlessly connect, manage, analyze, visualize, and share any data from any source with your teams or clients.

ClicData will make understanding your efforts and their performance easier than ever.

Apache Kafka features and specs

No features have been listed yet.

ClicData features and specs

  • Data Visualization: Yes
  • Data Management: Yes
  • Customizable dashboard: Yes
  • Real-Time Analytics: Yes
  • Ad-hoc Analysis: Yes
  • Forecasting: Yes
  • Native Data Connectors: Yes
  • Drag & Drop: Yes
  • ETL - Extract / Transfer / Load: Yes
  • Scheduled / Automated Reports: Yes
  • Predictive Analytics: Yes
  • Scorecards: Yes
  • OLAP: Yes

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

ClicData videos

+ Add

Quick Introduction to ClicData - i4 ClicData Tutorial

More videos:

  • Review - Introducing Healthcare KPIs Reports made with ClicData
  • Review - Webinar - Data Analytics & ClicData 101

Category Popularity

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

Apache Kafka

ClicData

Data Integration
100 100%
Data Integration
0% 0
Analytics
0 0%
Analytics
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Web Analytics
0 0%
Web Analytics
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 ClicData

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

ClicData Reviews

25 Best Reporting Tools for 2022
ClicData is a completely cloud-based business reporting platform that comes with a data warehouse. Best for SMEs and large enterprises looking for speed and agility, ClicData allows users to:
Source: hevodata.com
The Best Data Visualization Tools - Top 30 BI Software
ClicData allows you to transform data into information through powerful interactive dashboards. You can visualize performance, trends, forecasts, results, and more. ClicData provides users with the tools needed to clean up data and structure it an a more efficient and relevant manner.
Source: improvado.io

Social recommendations and mentions

Based on our record, Apache Kafka seems to be more popular. It has been mentiond 120 times since March 2021. 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 / 3 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 / 3 months ago
View more

ClicData mentions (0)

We have not tracked any mentions of ClicData yet. Tracking of ClicData recommendations started around Mar 2021.

What are some alternatives?

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

RabbitMQ - RabbitMQ is an open source message broker software.

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

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

AFSAnalytics - AFSAnalytics.

Woopra - Track your customers' web and mobile activity, forms, emails, support tickets and more, all in one place with customer analytics. Analyze and take action.

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