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LogDNA VS Apache Kafka

Compare LogDNA VS Apache Kafka and see what are their differences

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LogDNA logo LogDNA

Cloud log management system.

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • LogDNA Landing page
    Landing page //
    2023-10-21
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

LogDNA videos

+ Add

Ada Testimonial | Why Ada Selected LogDNA

More videos:

  • Tutorial - How to View, Search, and Filter Logs, and Jump to Time in LogDNA's Log Management System

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

Category Popularity

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

LogDNA

Apache Kafka

Log Management
100 100%
Log Management
0% 0
Data Integration
0 0%
Data Integration
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Stream Processing
0 0%
Stream Processing
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 LogDNA and Apache Kafka

LogDNA Reviews

11 Best Splunk Alternatives
LogDNA is a free log management program for collecting and monitoring log data. Exclusion rules in LogDNA allow you to decrease the amount of log data you need to watch, making it easier to spot essential security incidents. Visualization tools such as charts and graphs make it easy to keep track of log data patterns at a glance.
Source: www.ittsystems.com
Top 21 Log Management Software Tools
LogDNA is privacy shield certified and iIt has the capacity to handle 1M log events per second and more than 100 terabytes per customer per day.
Source: apiumacademy.com
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
LogDNA prides itself as the easiest log management tools that you’ll ever put your hands on. LogDNA’s cloud-based log services enable for engineers, DevOps, and IT teams to suction any app or system logs within one simple dashboard. Using CMD or Web interface, you can search, save, tail, and store all of your logs in real-time. With LogDNA, you can diagnose issues, identify...
Source: stackify.com

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

Social recommendations and mentions

Based on our record, Apache Kafka seems to be a lot more popular than LogDNA. While we know about 120 links to Apache Kafka, we've tracked only 2 mentions of LogDNA. 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.

LogDNA mentions (2)

  • A Step by Step Guide to Logging in ASP.NET Core 5
    Which provide many additional logging features such as structured or semantic logging. Some providers also provide the feature to persists logs to relational databases e.g. SQL Server or even persisting to a real-time cloud-based logs aggregation, monitoring, and analysis service such as LogDNA. - Source: dev.to / over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Logdna.com - Free for a single user, no retention, unlimited hosts and sources. - Source: dev.to / almost 3 years ago

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 1 month 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

What are some alternatives?

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

Histats - Start tracking your visitors in 1 minute!

RabbitMQ - RabbitMQ is an open source message broker software.

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.

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

AFSAnalytics - AFSAnalytics.

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

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