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Apache Flink VS RxDB

Compare Apache Flink VS RxDB and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

RxDB logo RxDB

A fast, offline-first, reactive Database for JavaScript Applications
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • RxDB Landing page
    Landing page //
    2023-07-20

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.

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

RxDB videos

No RxDB videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Flink and RxDB)
Big Data
100 100%
0% 0
NoSQL Databases
0 0%
100% 100
Stream Processing
100 100%
0% 0
Databases
51 51%
49% 49

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Flink and RxDB

Apache Flink Reviews

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RxDB Reviews

10 Best Open Source Firebase Alternatives
Reactive Database or RxDB is a real-time NoSQL database for JavaScript apps such as progressive web apps, electron apps, PWAs, hybrid apps, and websites. Reactive means that you get to query the current state while subscribing to all state changes like the result of a single field of a document or query.

Social recommendations and mentions

Based on our record, Apache Flink should be more popular than RxDB. It has been mentiond 30 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.

Apache Flink mentions (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 2 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 22 days ago
  • Show HN: An SQS Alternative on Postgres
    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 / about 1 month ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    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 / 2 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    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 / 4 months ago
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RxDB mentions (11)

  • HackNote
    Some years ago "offline-first" was a thing: https://web.archive.org/web/20170720174332/http://hood.ie/initiatives/#offline-first Primarily based on PouchDB/CouchDB. Now the site redirects to RxDB. https://rxdb.info/ There's still a site by that name but I don't quite understand what's the intention https://offlinefirst.org/. - Source: Hacker News / 21 days ago
  • Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
    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 2 months ago
  • You can't leak users' data if you don't hold it
    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 / 3 months ago
  • SignalDB: Bringing Meteor-Like Reactivity to the Modern Age
    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 / 8 months ago
  • Show HN: ElectricSQL, Postgres to SQLite active-active sync for local-first apps
    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 / 9 months ago
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What are some alternatives?

When comparing Apache Flink and RxDB, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Supabase - An open source Firebase alternative

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.