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Loggly VS Apache Kafka

Compare Loggly VS Apache Kafka and see what are their differences

Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Loggly logo Loggly

The world's most popular cloud log management service delivers application intelligence. No Software. No Downloads. No Sweat. Free Trial!

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Loggly Landing page
    Landing page //
    2023-01-05
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Loggly videos

+ Add

Pingdom, Loggly, and Digital Experience Monitoring - SolarWinds Lab Episode #63

More videos:

  • Review - SolarWinds Lab Bits: Papertrail, Loggly in Observability Action

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 Loggly and Apache Kafka)

Loggly

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

Share your experience with using Loggly and Apache Kafka. For example, how are they different and which one is better?
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Reviews

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

Loggly Reviews

10 Best Grafana Alternatives [2023 Comparison]
Another log management-focused Grafana alternative that we’re adding to this list is Loggly from SolarWinds. Loggly is a cloud-based service that allows users to transmit over HTTP/SYSLOg directly.
Source: sematext.com
11 Best Splunk Alternatives
Loggly is a free SaaS-based log monitoring application that can handle massive amounts of log data from any source. Loggly allows you to examine log events from various sources in real-time, including cloud platforms, databases, mobile apps, operating systems, and more. You can see a brief performance for systems across your environment on the dashboard, with metrics down to...
Source: www.ittsystems.com
Top 5 NGINX Log Analyzer Tools – Driving Business Growth with Data
SolarWinds® Loggly® is a powerful cloud-based tool designed to simplify and speed up log aggregation, monitoring, and analysis. It centralizes logs gathered from a distributed environment to correlate data for better analysis. Loggly makes log analysis simpler and faster and requires minimal configuration to set up. It can collect logs from various sources without installing...
Source: www.dnsstuff.com
Top 21 Log Management Software Tools
Loggly is a cloud-based log management services that can dig deep into extensive collections of log data in real-time while giving you the most crucial information, on how to improve your code and deliver a better customer experience. It offers custom tags that let you find related errors throughout your log data. Also, it has data analysis dashboard that gives you a visual...
Source: apiumacademy.com
Best DataDog Alternatives, Replacements & Competitors for Application & Log Monitoring
Loggly also allows you to integrate with the common DevOps tools, so that your team can share log analytics and real-time stream event logs. Its integration to apps such as HipChat, Slack, Jira, PagerDuty allows higher team collaboration. You can even integrate it with your tools with Loggly’s powerful API.
Source: www.pcwdld.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 Loggly. While we know about 120 links to Apache Kafka, we've tracked only 1 mention of Loggly. 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.

Loggly mentions (1)

  • “Print” Is the Only Debug Tool You Need
    Print works on Staging and Production: It’s not easy to work with debug tools when you’re dealing with code running on the server. On the other hand, print statements work there too. Even if you don’t have access to STDOUT, you can write statements to a file or send them to a logging server/service (e.g, Loggly). - Source: dev.to / almost 2 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 / 3 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 / 4 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 / 4 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
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What are some alternatives?

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

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

RabbitMQ - RabbitMQ is an open source message broker software.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

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

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