Infoworks eliminates big data complexity by automating data engineering through the company’s Autonomous Data Engine, which has been adopted by some of the largest enterprises in the world. Using a code-free environment, Infoworks allows organizations to quickly create and manage data use cases from source to consumption. Customers deploy projects to production within days, dramatically increasing analytics agility and time to value.
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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.
Based on our record, Apache ActiveMQ should be more popular than Infoworks.io. It has been mentiond 7 times since March 2021. 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.
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 / 3 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 / 3 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
You should check out infoworks.io - they have this concept of domains which can restrict data sets and the users that can do any transformations on it. They have a full airflow based visual orchestration engine as well as scheduler, transformation engine, ingestion, cataloging, etc. It's an end to end unified data engineering product. Source: almost 4 years ago
For a simpler no-code visual config-driven (data ingest+ ELT+ airflow-based orchestration), all in a single unified platform, you may consider infoworks.io. It will even auto create a metadata catalog for you and give you lineage, audit capabilities. Source: almost 4 years ago
As long as you're truly after a lo/no-code solution that can automate your data onboarding (beyond ingestion), you'd be amiss to not try infoworks.io. Source: almost 4 years ago
I'm alerted to another vendor, infoworks.io, that offers a unified data engineering solution. I took their free personal testdrive. I learned that they have large number of source connectors (I think I read 200+), Spark based transformation engine, and visual workflow based on airflow. Source: almost 4 years ago
RabbitMQ - RabbitMQ is an open source message broker software.
Singer - Simple, Composable, Open Source ETL
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
Airbyte - Replicate data in minutes with prebuilt & custom connectors
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.