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DalmatinerDB vs VerneMQ

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DalmatinerDB
6
10
+ 1
1
VerneMQ
31
136
+ 1
6
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DalmatinerDB vs VerneMQ: What are the differences?

DalmatinerDB: A fast, distributed metric store. DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore; VerneMQ: VerneMQ is a distributed IoT/MQTT message broker. 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..

DalmatinerDB belongs to "Databases" category of the tech stack, while VerneMQ can be primarily classified under "Message Queue".

DalmatinerDB and VerneMQ are both open source tools. It seems that VerneMQ with 1.75K GitHub stars and 187 forks on GitHub has more adoption than DalmatinerDB with 693 GitHub stars and 45 GitHub forks.

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Pros of DalmatinerDB
Pros of VerneMQ
  • 1
    Light and Fast
  • 1
    Fully open source clustering
  • 1
    Proxy Protocol support
  • 1
    Open Source Plugin System
  • 1
    Open Source Message and Metadata Persistence
  • 1
    MQTT v5 implementation
  • 1
    Open source shared subscriptions

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- No public GitHub repository available -

What is DalmatinerDB?

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

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 DalmatinerDB?
What companies use VerneMQ?
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What tools integrate with DalmatinerDB?
What tools integrate with VerneMQ?
    No integrations found

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    What are some alternatives to DalmatinerDB and VerneMQ?
    InfluxDB
    InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
    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.
    See all alternatives

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