DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.
DistributedLog alternatives and similar libraries
Based on the "Logging" category.
Alternatively, view DistributedLog alternatives based on common mentions on social networks and blogs.
9.5 9.1 L4 DistributedLog VS logstashLogstash - transport and process your logs, events, or other data
8.0 9.0 L4 DistributedLog VS LogbackThe reliable, generic, fast and flexible logging framework for Java.
7.2 9.1 L3 DistributedLog VS Apache Log4j 2Apache Log4j 2 is an upgrade to Log4j that provides significant improvements over its predecessor, Log4j 1.x, and provides many of the improvements available in Logback while fixing some inherent problems in Logback's architecture.
5.9 9.2 L5 DistributedLog VS LogbookAn extensible Java library for HTTP request and response logging
4.2 8.7 L2 DistributedLog VS tinylogtinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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Apache DistributedLog (incubating)
Apache DistributedLog (DL) is a high-throughput, low-latency replicated log service, offering durability, replication and strong consistency as essentials for building reliable real-time applications.
Apache DistributedLog project graduated from Incubator at July 2017. It is now a sub-project of Apache BookKeeper.
The core components of Apache DistributedLog has been merged as part of Apache BookKeeper. The development of Apache DistributedLog has been moved under BookKeeper. See BP-26: Move distributedlog library as part of bookkeeper for more details.
DL is able to provide milliseconds latency on durable writes with a large number of concurrent logs, and handle high volume reads and writes per second from thousands of clients.
Durable and Consistent
Messages are persisted on disk and replicated to store multiple copies to prevent data loss. They are guaranteed to be consistent among writers and readers in terms of strict ordering.
Efficient Fan-in and Fan-out
DL provides an efficient service layer that is optimized for running in a multi- tenant datacenter environment such as Mesos or Yarn. The service layer is able to support large scale writes (fan-in) and reads (fan-out).
DL supports various workloads from latency-sensitive online transaction processing (OLTP) applications (e.g. WAL for distributed database and in-memory replicated state machines), real-time stream ingestion and computing, to analytical processing.
To support a large number of logs for multi-tenants, DL is designed for I/O isolation in real-world workloads.
DL has a modern layered architecture design, which separates the stateless service tier from the stateful storage tier. To support large scale writes (fan- in) and reads (fan-out), DL allows scaling storage independent of scaling CPU and memory.
- Concepts: Start with the basic concepts of DistributedLog. This will help you to fully understand the other parts of the documentation, including setup, integration and operation guide. It is highly recommended to read this first.
- Quickstarts: Run DistributedLog on your local machine or follow the tutorial to write a simple program to interact with DistributedLog.
- Setup: The docker and cluster setup guides show how to deploy DistributedLog stack.
- User Guide: You can checkout our guides about the basic concepts and the Core Library API or Proxy Client API to learn how to use DistributedLog to build your reliable real-time services.
- Design Documents: Learn about the architecture, design considerations and implementation details of DistributedLog.
- Tutorials: You can check out the tutorials on how to build real applications.
- Admin Guide: You can check out our guides about how to operate the DistributedLog Stack.
Get In Touch
Report a Bug
For filing bugs, suggesting improvements, or requesting new features, help us out by opening a jira.
We feel that a welcoming open community is important and welcome contributions.
See Developer Guide to get your local environment setup.
Take a look at our open issues.
Make your changes according to our code review workflow.
Checkout the list of project ideas to contribute more features or improvements.
Improving Website and Documentation
See website/README.md on how to build the website.
See docs/README.md on how to build the documentation.
Apache DistributedLog is an open source project of The Apache Software Foundation (ASF). The Apache DistributedLog project originated from Twitter.