Software Alternatives & Reviews

RxDB VS Apache Spark

Compare RxDB VS Apache Spark and see what are their differences

RxDB logo RxDB

A fast, offline-first, reactive Database for JavaScript Applications

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • 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 Spark Landing page
    Landing page //
    2021-12-31

RxDB videos

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Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to RxDB and Apache Spark)
Databases
20 20%
80% 80
NoSQL Databases
100 100%
0% 0
Big Data
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

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Reviews

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

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.

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Social recommendations and mentions

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.

RxDB mentions (10)

  • 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 / 13 days 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 / about 1 month 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 / 6 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 / 7 months ago
  • What did I do to deserve a JavaScript database?
    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
View more

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    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
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    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
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    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
  • Five Apache projects you probably didn't know about
    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
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

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

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