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Learn MorePros of Amazon MQ
Pros of PostgreSQL
Pros of Amazon MQ
- Supports low IQ developers7
- Supports existing protocols (JMS, NMS, AMQP, STOMP, …)3
- Easy to migrate existing messaging service2
Pros of PostgreSQL
- Relational database764
- High availability510
- Enterprise class database439
- Sql383
- Sql + nosql304
- Great community173
- Easy to setup147
- Heroku131
- Secure by default130
- Postgis113
- Supports Key-Value50
- Great JSON support48
- Cross platform34
- Extensible33
- Replication28
- Triggers26
- Multiversion concurrency control23
- Rollback23
- Open source21
- Heroku Add-on18
- Stable, Simple and Good Performance17
- Powerful15
- Lets be serious, what other SQL DB would you go for?13
- Good documentation11
- Scalable9
- Free8
- Reliable8
- Intelligent optimizer8
- Transactional DDL7
- Modern7
- One stop solution for all things sql no matter the os6
- Relational database with MVCC5
- Faster Development5
- Full-Text Search4
- Developer friendly4
- Excellent source code3
- Free version3
- Great DB for Transactional system or Application3
- Relational datanbase3
- search3
- Open-source3
- Text2
- Full-text2
- Can handle up to petabytes worth of size1
- Composability1
- Multiple procedural languages supported1
- Native0
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Cons of Amazon MQ
Cons of PostgreSQL
Cons of Amazon MQ
- Slow AF4
Cons of PostgreSQL
- Table/index bloatings10
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What is Amazon MQ?
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.
What is PostgreSQL?
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
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What companies use Amazon MQ?
What companies use PostgreSQL?
What companies use Amazon MQ?
What companies use PostgreSQL?
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What tools integrate with Amazon MQ?
What tools integrate with PostgreSQL?
What tools integrate with Amazon MQ?
What tools integrate with PostgreSQL?
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What are some alternatives to Amazon MQ and PostgreSQL?
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.
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
IBM MQ
It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.
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.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.