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DistributedLog vs VerneMQ: What are the differences?
# Introduction
This Markdown provides a comparison between DistributedLog and VerneMQ, highlighting their key differences.
1. **Consistency Model**: DistributedLog offers strong consistency guarantees through a strict total order of writes, ensuring that all replicas receive updates in the same order and at the same rate. In contrast, VerneMQ focuses more on eventual consistency, allowing for more scalability and availability but potentially leading to inconsistencies between replicas in distributed systems.
2. **Use Case**: DistributedLog is more suitable for applications that require high durability and strict ordering of events, such as financial transaction processing or audit logging, where data integrity is critical. On the other hand, VerneMQ is a specialized MQTT broker designed for handling high volumes of real-time data streams in IoT and messaging applications, prioritizing low latency and high throughput over strict consistency.
3. **Scaling**: DistributedLog is designed for horizontally scaling write-heavy workloads by partitioning data across multiple nodes in a cluster, ensuring linear scalability as the load increases. VerneMQ, on the other hand, focuses on vertical scaling, allowing a single node to handle a large number of concurrent connections efficiently without the need for complex cluster configurations, making it more suitable for deployments with limited resources.
4. **Protocol Support**: VerneMQ supports MQTT (Message Queuing Telemetry Transport), a lightweight messaging protocol commonly used in IoT applications, providing features like message queuing, publish-subscribe communication, and device synchronization. DistributedLog, on the other hand, does not have built-in support for MQTT or other messaging protocols, as it primarily focuses on providing a distributed log service for storing and replicating structured data within clusters.
5. **Ease of Deployment**: VerneMQ offers a user-friendly deployment process with pre-built packages for various operating systems and container environments, simplifying the setup and configuration of MQTT broker instances. DistributedLog, being a distributed system, requires more expertise in deploying and configuring clusters for optimal performance, making it less user-friendly for beginners or small-scale deployments.
6. **Community and Ecosystem**: VerneMQ has a vibrant community of users and contributors, providing extensive documentation, plugins, and integrations with popular tools and frameworks to enhance the functionality of the MQTT broker. In comparison, DistributedLog, although maintained by Apache, may have a smaller community and ecosystem around it, offering limited third-party extensions or integrations outside of the core features provided by the project.
In Summary, DistributedLog and VerneMQ differ in their consistency models, use cases, scalability approaches, protocol support, deployment ease, and community/ecosystem, catering to distinct requirements in distributed systems and messaging applications.
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Pros of VerneMQ
- Fully open source clustering1
- Proxy Protocol support1
- Open Source Plugin System1
- Open Source Message and Metadata Persistence1
- MQTT v5 implementation1
- Open source shared subscriptions1
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What is DistributedLog?
DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.
What is VerneMQ?
VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP.
It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications.
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What companies use DistributedLog?
What companies use VerneMQ?
What companies use DistributedLog?
What companies use VerneMQ?
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What tools integrate with DistributedLog?
What tools integrate with VerneMQ?
What tools integrate with DistributedLog?
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What are some alternatives to DistributedLog and VerneMQ?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.