ReductStore
Minio
InfluxData
Prometheus
MongoDB
Amazon S3
PostgreSQL
MySQL
Apache ActiveMQ
RabbitMQ
Apache Kafka
IBM MQ
Amazon SQS
ChannelGrabber
ZeroMQ
Webgility
ReductStore is a high-throughput, time-series object store optimized for edge computing and AI/ML workflows, delivering tailored solutions for managing sequential data efficiently at scale.
ReductStore Apache ActiveMQNo features have been listed yet.
ReductStore's answer
ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data.
ReductStore's answer
Rust, tokio, axios
ReductStore's answer
ReductStore offers better performance and provides a retention policy based on disk usage and conditional append-only replication for your data reduction strategy.
ReductStore's answer
Edge computing, computer vision, and IoT engineers
ReductStore is an excellent choice for anyone looking for a powerful and reliable time series database for binary data. The user-friendly HTTP API makes it easy to work with, and the focus on edge computing ensures that data is always available when you need it. The ability to filter records using labels makes it easy to find the data you need quickly.
Based on our record, Apache ActiveMQ should be more popular than ReductStore. It has been mentiond 5 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.
ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications. - Source: dev.to / 5 months ago
When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications. - Source: dev.to / 6 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 1 year ago
For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis. - Source: dev.to / over 1 year 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 2 years ago
My suggestion would be: don't try to reinvent the wheel. There are communications solutions out there already intended for this kind of use case, like https://activemq.apache.org/ (I point this out because Amazon MQ is based on ActiveMQ). Source: about 2 years ago
First we have to run a broker in my case I use activeMq You can download the file zip and after extract the file you can acces to the bin foler and run. - Source: dev.to / over 2 years ago
Minio - Minio is an open-source minimal cloud storage server.
RabbitMQ - RabbitMQ is an open source message broker software.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Prometheus - An open-source systems monitoring and alerting toolkit.
IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
