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Apache Spark VS GraphQL Playground

Compare Apache Spark VS GraphQL Playground 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 Playground logo GraphQL Playground

GraphQL IDE for better development workflows
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • GraphQL Playground Landing page
    Landing page //
    2023-10-09

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 Playground videos

Graphql playground review completa parte 1

More videos:

  • Review - Create Local GraphQL Playground
  • Review - Graphql playground review completa parte 2

Category Popularity

0-100% (relative to Apache Spark and GraphQL Playground)
Databases
100 100%
0% 0
GraphQL
0 0%
100% 100
Big Data
100 100%
0% 0
Realtime Backend / API
0 0%
100% 100

User comments

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Reviews

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

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 Playground Reviews

We have no reviews of GraphQL Playground yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than GraphQL Playground. 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 / 6 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 / 6 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 Playground mentions (11)

  • Exploring GraphiQL 2 Updates and New Features
    GraphiQL is a tool that was created to help developers explore GraphQL APIs, maintained by the GraphQL Foundation. But when GraphiQL became more and more popular, developers started to create additional GraphQL IDEs. A good example of this was GraphQL Playground, which quickly became the most popular GraphQL IDE. It was loosely based on GraphiQL, but had more features and a better UI. - Source: dev.to / over 1 year ago
  • Why Is It So Important To Go To Meetups
    I went to a GraphQL meetup and they used the gql playground and a similar schema generator to what I was using, and it made me feel relevant. - Source: dev.to / about 2 years ago
  • GraphQL subscriptions at scale with NATS
    Here, we'll create a simple GraphQL server and subscribe to a subject from our resolver. We'll use GraphQL playground to mock client side behavior. Once we're connected we'll use NATS CLI to send a payload to our subject and see the changes on the client. - Source: dev.to / over 2 years ago
  • GraphQL vs REST in .NET Core
    Now we can consume created GraphQL API. In the GitHub Repo same functionality has been added with REST approach and GraphQL endpoint. Also widely used Swagger configured for Web API Endpoints as well as AltairUI added for GraphQL endpoint testing. Naturally, AltairUI it not a must for GraphQL, you can also use Swagger, GraphiQL, or GraphQL Playground. - Source: dev.to / over 2 years ago
  • Creating GraphQL Api Using NestJS For Multiple Databases
    Navigate to http://localhost:3000/graphql. NestJS uses graphql playground by default. It's a lovely GraphQL IDE. We can check our schema here. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Apache Spark and GraphQL Playground, 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.

GraphQl Editor - Editor for GraphQL that lets you draw GraphQL schemas using visual nodes

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

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

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

How to GraphQL - Open-source tutorial website to learn GraphQL development