RxDB, which stands for Reactive Database, is a JavaScript-based NoSQL database designed for a wide range of applications such as websites, hybrid apps, Electron apps, progressive web apps, and Node.js. The "reactive" aspect of RxDB allows you not only to retrieve the current state of the database but also to subscribe to all changes in the state, including query results or specific fields within a document. This feature is particularly advantageous for real-time user interface applications, as it facilitates development and offers notable performance benefits. Additionally, RxDB can be utilized to build efficient backends in Node.js.
Based on our record, Apache Spark should be more popular than RxDB. It has been mentiond 56 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.
I'm interested in this problem also! I think there is a large overlap with projects that market/focus on offline-first experiences. AFAIK this problem can be solved by: 1) Considering a client-side copy of the database that gets synced with the remote DB. This is an approach [PowerSync](https://www.powersync.com/) and [ElectricSql](https://electric-sql.com/) and [rxdb](https://rxdb.info/) take! - Source: Hacker News / 13 days ago
Hey, after I posted that, I went and gave a second look online to see if I could find something that would allow me to develop a local-first app with offline persistence and syncing capabilities. I ended up finding some possibilities out there that could potentially help me build stuff. One of them is RxDB [1], which offers WebRTC syncing - you'd still need a signaling server, I suppose, but all sensitive... - Source: Hacker News / about 1 month ago
About a year ago, I discovered a cool offline-first framework called RxDB. Initially, I thought that on the frontend side, this was exactly what I had been searching for over the past years. After tinkering around and even using it in production for some time, I realized that it wasn't well-suited for my intended use. RxDB was initially created as an RxJS layer for PouchDB with a server replication interface.... - Source: dev.to / 6 months ago
Congrats to the team. Once I’ve tried https://rxdb.info/ and it wasn’t funny at all to do the remote replication (PG) and to deal with conflicts. I do need to check this out! - Source: Hacker News / 7 months ago
For anyone who wants to not only make jokes but actuall learn something, I recommend to start with exploring the github repo: https://github.com/pubkey/rxdb. Source: over 1 year ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Supabase - An open source Firebase alternative
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Hadoop - Open-source software for reliable, scalable, distributed computing