Software Alternatives & Reviews

Apache Spark VS gRPC

Compare Apache Spark VS gRPC 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.

gRPC logo gRPC

Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • gRPC Landing page
    Landing page //
    2021-08-09

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

gRPC videos

gRPC, Protobufs and Go... OH MY! An introduction to building client/server systems with gRPC

More videos:

  • Review - gRPC with Mark Rendle
  • Review - GraphQL, gRPC or REST? Resolving the API Developer's Dilemma - Rob Crowley - NDC Oslo 2020

Category Popularity

0-100% (relative to Apache Spark and gRPC)
Databases
100 100%
0% 0
Web Servers
0 0%
100% 100
Big Data
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using Apache Spark and gRPC. 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 gRPC

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...

gRPC Reviews

SignalR Alternatives
SignalR is basically used to allow connection between client and server or vice-versa. It is a type of bi-directional communication between both the client and server. SignalR is compatible with web sockets and many other connections, which help in the direct push of content over the server. There are many alternatives for signalR that are used, like Firebase, pusher,...
Source: www.educba.com

Social recommendations and mentions

Based on our record, gRPC should be more popular than Apache Spark. It has been mentiond 86 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 / 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

gRPC mentions (86)

View more

What are some alternatives?

When comparing Apache Spark and gRPC, 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.

Apache Thrift - An interface definition language and communication protocol for creating cross-language services.

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

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

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

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.