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  1. Stackups
  2. DevOps
  3. Log Management
  4. Logging Tools
  5. Log4j vs Zap

Log4j vs Zap

OverviewComparisonAlternatives

Overview

Log4j
Log4j
Stacks3.1K
Followers101
Votes0
GitHub Stars3.5K
Forks1.7K
Zap
Zap
Stacks10
Followers33
Votes0
GitHub Stars23.9K
Forks1.5K

Log4j vs Zap: What are the differences?

Key Differences between Log4j and Zap

1. Configuration Flexibility: Log4j offers more flexibility in its configuration options compared to Zap. With Log4j, you can configure various appenders, filters, and log levels in a highly customizable manner. On the other hand, Zap has a simpler configuration approach, providing a limited set of configuration options.

2. Performance: Log4j is known for its high-performance logging capabilities and is optimized to handle a large volume of log data efficiently. In contrast, Zap may not be as performant as Log4j, especially when dealing with heavy log traffic or complex logging requirements.

3. Extensibility and Integrations: Log4j provides a wide range of extensions, including appenders for different output formats, filters, and custom layouts. It also offers seamless integrations with popular frameworks and libraries. Zap, on the other hand, has a more limited set of extensions and integrations available.

4. Community Support: Log4j has been around for a longer time and has a larger community of users and contributors. This translates into better community support, more active development, and a wealth of resources and documentation available. Zap, although growing in popularity, may have a smaller community and fewer resources.

5. Logging Levels and Hierarchies: Log4j has a more comprehensive set of logging levels, allowing for fine-grained control over log outputs. It also supports hierarchical loggers, enabling a flexible and scalable logging structure. Zap, on the other hand, offers a simpler set of logging levels and does not have built-in support for hierarchical logging.

6. License: Log4j is released under the Apache License, which is a permissive open-source license. This allows for greater flexibility in using and modifying the library. Zap, on the other hand, is released under the GNU Lesser General Public License (LGPL), which may have more restrictions in terms of usage and redistribution.

In Summary, Log4j offers more configuration flexibility, better performance, greater extensibility and community support, comprehensive logging levels and hierarchies, and a permissive open-source license compared to Zap.

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Detailed Comparison

Log4j
Log4j
Zap
Zap

It is an open source logging framework. With this tool – logging behavior can be controlled by editing a configuration file only without touching the application binary and can be used to store the Selenium Automation flow logs.

Zap takes a different approach. It includes a reflection-free, zero-allocation JSON encoder, and the base Logger strives to avoid serialization overhead and allocations wherever possible. By building the high-level SugaredLogger on that foundation, zap lets users choose when they need to count every allocation and when they'd prefer a more familiar, loosely typed API.

Statistics
GitHub Stars
3.5K
GitHub Stars
23.9K
GitHub Forks
1.7K
GitHub Forks
1.5K
Stacks
3.1K
Stacks
10
Followers
101
Followers
33
Votes
0
Votes
0
Integrations
Spring Boot
Spring Boot
Java
Java
Apache Maven
Apache Maven
Golang
Golang

What are some alternatives to Log4j, Zap?

Seq

Seq

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

Loki

Loki

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.

Castle Core

Castle Core

It provides common Castle Project abstractions including logging services. It also features Castle DynamicProxy a lightweight runtime proxy generator, and Castle DictionaryAdapter.

Bunyan

Bunyan

It is a simple and fast JSON logging module for node.js services. It has extensible streams system for controlling where log records go (to a stream, to a file, log file rotation, etc.)

Fluent Bit

Fluent Bit

It is a super fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments.

CocoaLumberjack

CocoaLumberjack

CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for Mac and iOS.

uno

uno

We built uno, a small tool similar to uniq (the UNIX CLI tool that removes duplicates) - but with fuzziness. uno considers two lines to be equal if their edit distance is less than a specified threshold, by default set to 30%. It reads from stdin and prints the deduplicated lines to stdout.

NanoLog

NanoLog

It is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API and achieves over 80 million logs/second at a median latency of just over 7 nanoseconds.

SwiftyBeaver

SwiftyBeaver

It is Swift-based logging framework for iOS and macOS. It has different types of log messages where also we can filter logs to make bug checking even easier and has a free license plan.

LogDevice

LogDevice

LogDevice is a scalable and fault tolerant distributed log system. While a file-system stores and serves data organized as files, a log system stores and delivers data organized as logs. The log can be viewed as a record-oriented, append-only, and trimmable file.

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