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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. Altiscale vs VerneMQ

Altiscale vs VerneMQ

OverviewComparisonAlternatives

Overview

Altiscale
Altiscale
Stacks6
Followers10
Votes28
VerneMQ
VerneMQ
Stacks31
Followers136
Votes6

Altiscale vs VerneMQ: What are the differences?

What is Altiscale? Hadoop as a Service. we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

What is 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..

Altiscale and VerneMQ are primarily classified as "Big Data as a Service" and "Message Queue" tools respectively.

Some of the features offered by Altiscale are:

  • Hadoop Dialtone
  • “Infinite” Hadoop
  • A Proactive Hadoop Helpdesk

On the other hand, VerneMQ provides the following key features:

  • Open Source, Apache 2 licensed
  • QoS 0, QoS 1, QoS 2
  • MQTT v5.0 fully implemented

VerneMQ is an open source tool with 1.76K GitHub stars and 189 GitHub forks. Here's a link to VerneMQ's open source repository on GitHub.

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Detailed Comparison

Altiscale
Altiscale
VerneMQ
VerneMQ

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

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.

Hadoop Dialtone;“Infinite” Hadoop;A Proactive Hadoop Helpdesk;Predictable, Hadoop-based pricing
Open Source, Apache 2 licensed; QoS 0, QoS 1, QoS 2; MQTT v5.0 fully implemented; Basic Authentication and Authorization; Bridge Support; $SYS Tree for monitoring and reporting; TLS (SSL) Encryption; Websockets Support; Cluster Support with sophisticated self-healing mechanisms; Queue Migration; Prometheus Monitoring; Logging (Console, Files, Syslog); Reporting to Graphite; Extensible Plugin architecture (Erlang, Elixir, Lua); WebHooks Plugins; Multiple Sessions per ClientId; Shared Subscriptions; Proxy Protocol v1, v2;
Statistics
Stacks
6
Stacks
31
Followers
10
Followers
136
Votes
28
Votes
6
Pros & Cons
Pros
  • 3
    SOC2, PCI, HIPAA, Kerberos
  • 3
    The easiest, lowest cost, highest performing option
  • 3
    Hadoop ops experts run it all for you, don't need ops
  • 3
    Our data sci & analysts would scream if went back toEMR
  • 3
    Automated compute bursting
Pros
  • 1
    Open Source Plugin System
  • 1
    Open source shared subscriptions
  • 1
    Fully open source clustering
  • 1
    MQTT v5 implementation
  • 1
    Open Source Message and Metadata Persistence
Integrations
No integrations available
MySQL
MySQL
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Memcached
Memcached
Redis
Redis

What are some alternatives to Altiscale, VerneMQ?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

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