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Learn MorePros of QuestDB
Pros of RabbitMQ
Pros of QuestDB
- No dependencies2
- Real-time analytics2
- Open source2
- Postgres wire protocol2
- Time-series data analysis2
- SQL2
- Fast1
- Embedded1
- InfluxDB line protocol1
- HTTP API1
- High-performance1
Pros of RabbitMQ
- It's fast and it works with good metrics/monitoring235
- Ease of configuration80
- I like the admin interface60
- Easy to set-up and start with52
- Durable22
- Standard protocols19
- Intuitive work through python19
- Written primarily in Erlang11
- Simply superb9
- Completeness of messaging patterns7
- Reliable4
- Scales to 1 million messages per second4
- Better than most traditional queue based message broker3
- Distributed3
- Supports MQTT3
- Supports AMQP3
- Clear documentation with different scripting language2
- Better routing system2
- Inubit Integration2
- Great ui2
- High performance2
- Reliability2
- Open-source2
- Runs on Open Telecom Platform2
- Clusterable2
- Delayed messages2
- Supports Streams1
- Supports STOMP1
- Supports JMS1
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Cons of QuestDB
Cons of RabbitMQ
Cons of QuestDB
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Cons of RabbitMQ
- Too complicated cluster/HA config and management9
- Needs Erlang runtime. Need ops good with Erlang runtime6
- Configuration must be done first, not by your code5
- Slow4
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What is QuestDB?
QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions.
What is RabbitMQ?
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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What companies use QuestDB?
What companies use RabbitMQ?
What companies use QuestDB?
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What tools integrate with QuestDB?
What tools integrate with RabbitMQ?
What tools integrate with QuestDB?
What tools integrate with RabbitMQ?
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What are some alternatives to QuestDB and RabbitMQ?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
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.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web