Apache ActiveMQ is recommended for enterprises looking for a reliable and scalable message broker, developers needing rich messaging functionality, and organizations that require robust support for various messaging protocols, including JMS, AMQP, STOMP, and MQTT. It is particularly well-suited for applications that need to distribute messages between different applications, languages, and platforms.
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Funnel.io might be a bit more popular than Apache ActiveMQ. We know about 10 links to it since March 2021 and only 7 links to Apache ActiveMQ. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are like a 100 services that will do that for you. Something like this. Source: over 2 years ago
Any digital marketers have experience working with single connectors for Google Data Studio? I really like the idea of plugging all the data sources into the ETL platform and having one connector for GDS. It appears funnel.io does this but it's far too expensive for us. Windsor.ai also looks ok but their pricing structure isn't ideal. Played around with Adverity as well but looking for something that's more plug... Source: over 2 years ago
From experience writing & maintaining custom ETLs in BigQuery, to paying/trying multiple data pipeline partners, to a sort-of middle ground like AirByte - this is not a plug - funnel.io has been the easiest and most cost effective by far. Source: over 3 years ago
You have to be careful with fb figures. Its well known in the industry that they arent accurate. With regards to funnel.io, if they are picking figures from FB then its also suspect. Source: over 3 years ago
The other platform (funnel.io) may use a different attribution window and/or it might not track across different devices (not sure here, never used funnel.io before). Source: over 3 years ago
Before Kafka, traditional message queues like RabbitMQ and ActiveMQ were widely used, but they had limitations in handling massive, high-throughput real-time data streams. - Source: dev.to / 4 months ago
Consume open-source queuing services – customers can deploy message brokers such as ActiveMQ or RabbitMQ, to develop asynchronous applications, and when moving to the public cloud, use the cloud providers managed services alternatives. - Source: dev.to / 4 months ago
Apache ActiveMQ is an open-source Java-based message queue that can be accessed by clients written in Javascript, C, C++, Python and .NET. There are two versions of ActiveMQ, the existing “classic” version and the next generation “Artemis” version, which is currently being worked on. - Source: dev.to / about 2 years ago
For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis. - Source: dev.to / over 2 years ago
The back-end is designed as a set of microservices communicating through a message broker, ActiveMQ, with a custom configuration to support delayed delivery and other features. - Source: dev.to / almost 3 years ago
Supermetrics - Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.
RabbitMQ - RabbitMQ is an open source message broker software.
DataTap - Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
Improvado.io - Improvado is an ETL platform that extracts data from 300+ pre-built connectors, transforms it, and seamlessly loads the results to wherever you need them. No more Tedious Manual Work, Errors or Discrepancies. Contact us for a demo.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.