ReductStore
Minio
InfluxData
Prometheus
MongoDB
Amazon S3
PostgreSQL
MySQL
Google App Engine
Salesforce Platform
Dokku
Heroku
AWS Lambda
AWS Elastic Beanstalk
Google Cloud Functions
Azure Web Apps
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'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, Google App Engine seems to be a lot more popular than ReductStore. While we know about 26 links to Google App Engine, 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
In 2008, Google launched AppEngine. This product predates the formal existence of Google Cloud and can be considered Google Cloud's first offering. - Source: dev.to / about 1 month ago
To deploy the app, we can use Google Cloud App Engine, which is specifically built for server-side rendered websites. After we create a new project in the Google Cloud Console, we have to configure the cql-trace-viewer application. - Source: dev.to / about 1 year ago
I've read that article, but I'm thinking there are other better (and most importantly cheaper) ways of doing that, such as using App Engine (given that you have to mitigate the maximum request timeout and to make sure there are constantly exactly 1 instance running). Source: about 1 year ago
Shout out to GCP App Engine for deploying anode/Express severe. Source: about 1 year ago
If your project is a bit more complicated using next.js or react.js or angular.js, you may find some free Platfrom-as-a-Service%20is%20a%20complete%20cloud%20environment,middleware%2C%20tools%2C%20and%20more.). I have seen some of my peers using free PaaS like Heroku, Vercel and I have no experience in using PaaS but I will recommend you to use PaaS from either of the three 1. Google Cloud's Google App Engine 2.... Source: about 1 year ago
Minio - Minio is an open-source minimal cloud storage server.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
Prometheus - An open-source systems monitoring and alerting toolkit.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.