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Apache ActiveMQ VS Amazon Redshift

Compare Apache ActiveMQ VS Amazon Redshift and see what are their differences

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Apache ActiveMQ logo Apache ActiveMQ

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

Amazon Redshift logo Amazon Redshift

Learn about Amazon Redshift cloud data warehouse.
  • Apache ActiveMQ Landing page
    Landing page //
    2021-10-01
  • Amazon Redshift Landing page
    Landing page //
    2023-03-14

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.

Amazon Redshift features and specs

  • Scalability
    Amazon Redshift allows you to scale your data warehouse up or down easily based on your needs with just a few clicks or by using the API, providing flexibility to handle varying workloads.
  • Performance
    Redshift uses columnar storage, parallel processing, and efficient data compression techniques to deliver high performance for complex queries and large datasets.
  • Integration
    It seamlessly integrates with various AWS services like S3, DynamoDB, and QuickSight, making it easier to build a comprehensive data ecosystem.
  • Cost-effective
    Redshift offers a pay-as-you-go pricing model with no upfront costs, and you can save more with reserved instances, making it cost-effective for many businesses.
  • Security
    It includes features like encryption, Virtual Private Cloud (VPC), and compliance certifications (such as SOC 1, SOC 2, SOC 3, and more) to ensure data security and compliance.
  • Managed Service
    Amazon Redshift is a fully managed service, so it takes care of managing, monitoring, and scaling the infrastructure, allowing you to focus on your data and insights.

Possible disadvantages of Amazon Redshift

  • Complexity
    Although Redshift is powerful, it can be complex to set up, configure, and optimize for best performance, requiring knowledge and experience in data warehousing.
  • Cost for Unused Resources
    While Redshift is cost-effective for large-scale operations, costs can add up quickly if resources are not managed properly, especially with long-running clusters that are under-utilized.
  • Maintenance Windows
    Despite being a managed service, maintenance windows and updates can occasionally lead to downtime or performance degradation, impacting availability.
  • Data Transfer Costs
    Transferring data in and out of Redshift can incur additional costs, particularly if large volumes of data are involved, which can affect overall budget planning.
  • Vendor Lock-in
    Using Amazon Redshift ties you to the AWS ecosystem, which could be a disadvantage if you are considering a multi-cloud strategy or planning to switch providers in the future.

Apache ActiveMQ videos

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Amazon Redshift videos

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Getting Started with Amazon Redshift - AWS Online Tech Talks

More videos:

  • Review - Amazon Redshift Materialized Views
  • Tutorial - Amazon Redshift Tutorial | Amazon Redshift Architecture | AWS Tutorial For Beginners | Simplilearn

Category Popularity

0-100% (relative to Apache ActiveMQ and Amazon Redshift)

Apache ActiveMQ

Amazon Redshift

Data Integration
100 100%
Data Integration
0% 0
Databases
0 0%
Databases
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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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 Amazon Redshift

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...
Source: www.spec-india.com

Amazon Redshift Reviews

Data Warehouse Tools
No, SQL (Structured Query Language) is not a data warehouse itself. SQL is a programming language used for managing and querying data stored in relational database management systems (RDBMS) and data warehouses. Many data warehouse solutions, such as Peliqan, Amazon Redshift, and PostgreSQL, support SQL for querying and analyzing data within the data warehouse
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
Coined in November 2021, Amazon Redshift was launched as a fully managed cloud data warehouse that can handle petabyte-scale data. While it was not the first cloud data warehouse, it became the first to proliferate in the market share after a large-scale adoption. Redshift uses SQL dialect based on PostgreSQL, which is well-known by many analysts globally, and its...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
As the most proven tool in this category, Amazon Redshift is a fully managed cloud-based data warehouse used to collect and store data. Like BigQuery, Redshift seamlessly integrates with multiple products and ETL services.
Source: blog.panoply.io

Social recommendations and mentions

Based on our record, Amazon Redshift should be more popular than Apache ActiveMQ. It has been mentiond 29 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.

Apache ActiveMQ mentions (7)

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Amazon Redshift mentions (29)

  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / 28 days ago
  • Everyone Uses Postgres… But Why?
    Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / 6 months ago
  • From ETL and ELT to Reverse ETL
    With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / 7 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / about 1 year ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Apache ActiveMQ and Amazon Redshift, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

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

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

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