Software Alternatives, Accelerators & Startups

Apache ActiveMQ VS Hevo Data

Compare Apache ActiveMQ VS Hevo Data and see what are their differences

Apache ActiveMQ logo Apache ActiveMQ

Apache ActiveMQ is an open source messaging and integration patterns server.

Hevo Data logo Hevo Data

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. Get near real-time data pipelines for reporting and analytics up and running in just a few minutes. Try Hevo for Free today!
  • Apache ActiveMQ Landing page
    Landing page //
    2021-10-01
  • Hevo Data Landing page
    Landing page //
    2023-02-18

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making.

The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.

Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.

Apache ActiveMQ features and specs

  • Open Source
    ActiveMQ is open-source under the Apache License, making it free to use and modify. This can lead to cost savings compared to commercial solutions.
  • Wide Protocol Support
    ActiveMQ supports multiple messaging protocols, including AMQP, MQTT, OpenWire, Stomp, and others, allowing for flexible integration with various systems and applications.
  • Java Integration
    Written in Java, ActiveMQ integrates well with JVM-based applications and other Apache projects like Camel and Karaf, making it a good fit for Java-centric environments.
  • High Availability
    Features like broker clustering, network of brokers, and failover support provide robust high availability options, ensuring message delivery even in case of failures.
  • Performance and Scalability
    ActiveMQ can handle a large number of messages and users by scaling horizontally, making it suitable for both small and enterprise-level applications.
  • Admin Console
    ActiveMQ provides a web-based admin console for easy management and monitoring of the message broker, simplifying administrative tasks.

Possible disadvantages of Apache ActiveMQ

  • Complex Configuration
    The initial setup and configuration can be complex, especially for newcomers. It often requires a steep learning curve to understand all the available options and optimizations.
  • Resource Intensive
    ActiveMQ can be resource-intensive, particularly in high-throughput scenarios, which may necessitate more robust hardware for optimal performance.
  • Latency
    In certain configurations, ActiveMQ may exhibit higher latency compared to other brokers, which might not make it suitable for use cases requiring real-time guarantees.
  • Java Dependency
    As a Java-based solution, ActiveMQ requires the JVM, which can be a downside for organizations that have standardized on other technology stacks.
  • Community Support
    While there is a community around ActiveMQ, it may not be as large or as active as those for other, similar open-source projects. This can lead to slower responses to issues and fewer community-based resources.
  • Documentation
    Though comprehensive, the documentation can sometimes be difficult to navigate, making it challenging for users to find specific information quickly.

Hevo Data features and specs

  • Data Extraction and Loading
    Integrate and manage data from 100+ sources
  • Data Transformation
    Run pre-load data transformation
  • Customer Support
    24/7 Live chat support

Apache ActiveMQ videos

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Hevo Data videos

Getting Started with Hevo - An Overview

More videos:

  • Tutorial - Load Data from AWS S3 to Data Warehouse
  • Tutorial - ETL REST API Data to a Data Warehouse
  • Demo - Data Transformations on Hevo

Category Popularity

0-100% (relative to Apache ActiveMQ and Hevo Data)
Data Integration
48 48%
52% 52
Data Replication
0 0%
100% 100
Stream Processing
100 100%
0% 0
Web Service Automation
100 100%
0% 0

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache ActiveMQ and Hevo Data

Apache ActiveMQ Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
ActiveMQ is a flexible, open-source, multi-protocol messaging broker that supports many protocols. This makes it easy for developers to use a variety of languages and platforms. The AMQP protocol facilitates integration with many applications based on different platforms. However, ActiveMQ’s high-end data accessibility capabilities are complemented by its load balancing,...
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
It is a managed information broker for Apache ActiveMQ which has simple installation and it runs message broker in cloud. It doesn’t need any special look after regular management and maintenance of the message system. It is utilized to send bulk message services.
Source: gokicker.com
Top 15 Kafka Alternatives Popular In 2021
Apache ActiveMQ is a popular, open-source, flexible multi-protocol messaging broker. Since it has great support for industry-based protocols, developers get access to languages and platforms. It helps in connecting clients written in languages like Python, C, C++, JavaScript, etc. With the help of the AMQP protocol, integration with many applications with different platforms...

Hevo Data Reviews

Best ETL Tools: A Curated List
Hevo Data is a cloud-based ETL/ELT service that allows users to build data pipelines easily. Launched in 2017, Hevo provides a low-code platform, giving users more control over mapping sources to targets and performing simple transformations using Python scripts or a drag-and-drop editor (currently in Beta). While Hevo is ideal for beginners, it has some limitations compared...
Source: estuary.dev
Top 11 Fivetran Alternatives for 2024
Hevo Data is a no-code SaaS data pipeline platform that started as a cloud service in 2017. Hevo is primarily ELT but has been adding some row-based ETL support.
Source: estuary.dev
15+ Best Cloud ETL Tools
Hevo Data is one of the leading open-source ETL tools. It is a cloud-based, no-code data pipeline solution with ETL functionality for efficient data integration and management across all your systems. It provides easy data collection and reporting capabilities that can help your business ensure that accurate and real-time data is always available.
Source: estuary.dev
Top 14 ETL Tools for 2023
Hevo Data is an ETL data integration platform with over 100 pre-built connectors to databases, cloud storage, and SaaS sources. Users can define their own pre-load transformations in Hevo Data using Python. Hevo Data supports the most popular data warehouse destinations, including Redshift, BigQuery, and Snowflake.
Top 10 Fivetran Alternatives - Listing the best ETL tools
Hevo Data has ETL, ELT, and reverse-ETL capabilities, and is code-free with integrations to various tools and data warehouses. For non-technical users who want to get up and running with their data, Hevo can help.
Source: weld.app

Social recommendations and mentions

Hevo Data might be a bit more popular than Apache ActiveMQ. We know about 9 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.

Apache ActiveMQ mentions (7)

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Hevo Data mentions (9)

  • Understanding the MLOps Lifecycle
    Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more. - Source: dev.to / 5 months ago
  • Quick tip: Replicating a MongoDB Atlas database to SingleStoreDB Cloud using Hevo Data
    In a previous article, we used open-source Airbyte to create an ELT pipeline between SingleStoreDB and Apache Pulsar. We have also seen in another article several methods to ingest MongoDB JSON data into SingleStoreDB. In this article, we’ll evaluate a commercial ELT tool called Hevo Data to create a pipeline between MongoDB Atlas and SingleStoreDB Cloud. Switching to SingleStoreDB has many benefits, as described... - Source: dev.to / over 2 years ago
  • Best methods for pulling data from IBM DB2 (AS/400) to Snowflake?
    One of my customers just purchased Precisely to extract from their iSeries machines into Snowflake. Hevo can also do it. Source: over 2 years ago
  • Lowest latency dynamodb to redshift sync?
    I've been looking at Hevo data as well, and they certainly make the setup/maintenance a lot easier, but they have a latency of 5-10 minutes. What's the minimum lowest latency that can be achieved with aws for syncing dynamodb to redshift? Source: over 2 years ago
  • Best ‘E’TL tools for extracting data from on-prem SQL databases
    Don't decide on something without looking at Hevo - I've used this in two organisations now and can't speak more highly of it. Cheap, super simple to use, and super configurable if you want to get into the nitty gritty. Source: about 3 years ago
View more

What are some alternatives?

When comparing Apache ActiveMQ and Hevo Data, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

Stitch - Consolidate your customer and product data in minutes

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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.