Software Alternatives, Accelerators & Startups

Apache Spark VS graphql.js

Compare Apache Spark VS graphql.js and see what are their differences

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.

graphql.js logo graphql.js

A reference implementation of GraphQL for JavaScript - graphql/graphql-js
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • graphql.js Landing page
    Landing page //
    2023-08-27

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

graphql.js videos

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

+ Add video

Category Popularity

0-100% (relative to Apache Spark and graphql.js)
Databases
100 100%
0% 0
Project Management
0 0%
100% 100
Big Data
100 100%
0% 0
Development
0 0%
100% 100

User comments

Share your experience with using Apache Spark and graphql.js. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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...

graphql.js Reviews

We have no reviews of graphql.js yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than graphql.js. 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.

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 / 3 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 / 4 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 / 5 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 / 12 months ago
View more

graphql.js mentions (8)

  • Diving into Open-Source Development
    To begin, I'm going to start with GraphQL. This repo is a JS-specific implementation for GraphQL, for which projects written in JS/TS can utilize to build an API for their web app. The reason why I chose this project is because I've always been intrigued by how GraphQl challenges the standard way of building an API, a.k.a REST APIs. I have very little knowledge about this project since I've never used it before at... - Source: dev.to / 9 months ago
  • How to define schema once and have server code and client code typed? [Typescript]
    When I asked this in StackOverflow over a year ago I reached the solution of using graphql + graphql-zeus. Source: 11 months ago
  • Apollo federated graph is not presenting its schema to graphiql with fields sorted lexicographically
    GraphiQL (and many other tools) relies on introspection query which AFAIK is not guaranteed to have any specific order (and many libs don't support it). Apollo Server is built on top of graphql-js and it relies on it for this functionality. Source: over 1 year ago
  • How (Not) To Build Your Own GraphQL Server
    Defining your schema and the resolvers simultaneously led to some issues for developers, as it was hard to decouple the schema from the (business) logic in your resolvers. The SDL-first approach introduced this separation of concerns by defining the complete schema before connecting them to the resolvers and making this schema executable. A version of the SDL-first approach was introduced together with GraphQL... - Source: dev.to / over 2 years ago
  • three ways to deploy a serverless graphQL API
    Graphql-yoga is built on other packages that provide functionality required for building a GraphQL server such as web server frameworks like express and apollo-server, GraphQL subscriptions with graphql-subscriptions and subscriptions-transport-ws, GraphQL engine & schema helpers including graphql.js and graphql-tools, and an interactive GraphQL IDE with graphql-playground. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Apache Spark and graphql.js, you can also consider the following products

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

JsonAPI - Application and Data, Languages & Frameworks, and Query Languages

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Apollo - Apollo is a full project management and contact tracking application.

Hadoop - Open-source software for reliable, scalable, distributed computing

Graphene - Query Languages