RxDB
Firebase
Supabase
PouchDB
GUN
Redis
MongoDB
SignalDB
Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Apache Airflow
Spark Mail
Confluent
Apache Kafka
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.
RxDB Apache FlinkBased on our record, Apache Flink should be more popular than RxDB. It has been mentiond 28 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 / about 1 month 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 2 months 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 / 7 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 / 8 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
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 12 days ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - 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 / 5 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
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Supabase - An open source Firebase alternative
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
PouchDB - Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
