Based on our record, Amazon SQS seems to be a lot more popular than InfluxData. While we know about 65 links to Amazon SQS, we've tracked only 2 mentions of InfluxData. 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.
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 2 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 2 years 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 / 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
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
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.
RabbitMQ - RabbitMQ is an open source message broker software.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Amazon SNS - Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications