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.
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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, Amazon SQS seems to be a lot more popular than ReductStore. While we know about 65 links to Amazon SQS, we've tracked only 2 mentions of ReductStore. 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
Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / about 2 months ago
SQS - 1 million messaging queue requests. - Source: dev.to / 5 months ago
The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system... Source: 7 months ago
For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 8 months ago
Amazon SQS is a fully managed message queue service that provides a reliable and scalable solution for asynchronous messaging between distributed components and microservices. - Source: dev.to / 11 months ago
Minio - Minio is an open-source minimal cloud storage server.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
RabbitMQ - RabbitMQ is an open source message broker software.
Prometheus - An open-source systems monitoring and alerting toolkit.
Amazon SNS - Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications