Looks really cool, I like to make very minimalistic dependency choices for the web apps I work on. Web Components look interesting and it's great to see frameworks that build upon it and provide features that are currently missing from it. When I landed on the page I remembered another Realm framework I used a lot long time ago. https://realm.io has the same name and the logo looks very similar too. Not sure if... - Source: Hacker News / 9 months ago

Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. - Source: dev.to / 10 months ago

I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: about 1 year ago

Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 1 year ago

There is some crossover between the BaaS of Firebase and what MongoDB Atlas is offering if you are developing using Atlas Sync and Realm. Even so, there is a whole lot more you can find in terms of tutorials and community support for Firebase so it is hard to know how many of the Mongo claims are just future bugs for your project vs what people are currently doing with Firebase. Source: over 1 year ago

There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago

I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago

This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

Check out https://aws.amazon.com/emr/. Source: about 2 years ago