Software Alternatives & Reviews
Register | Login

Apache Spark VS DataGrip

Compare Apache Spark VS DataGrip and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

DataGrip logo DataGrip

Tool for SQL and databases
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • DataGrip Landing page
    Landing page //
    2023-03-16

Apache Spark videos

+ Add

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

DataGrip videos

+ Add

DataGrip Introduction

Category Popularity

0-100% (relative to Apache Spark and DataGrip)

Apache Spark

DataGrip

Databases
34 34%
Databases
66% 66
Big Data
100 100%
Big Data
0% 0
Database Management
0 0%
Database Management
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

Share your experience with using Apache Spark and DataGrip. 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 DataGrip

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...
Source: searchbusinessanalytics.techtarget.com
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...
Source: www.spec-india.com
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...
Source: www.analyticsinsight.net

DataGrip Reviews

15 Best MySQL GUI Clients for macOS
DataGrip is a smart subscription-based IDE for numerous database tasks. It equips database developers, administrators, and analysts with a multitude of integrated tools that help you work with queries and deliver flexible management of database objects.
Source: blog.devart.com
Best MySQL GUI Clients for Linux in 2023
DataGrip is a smart IDE for database tasks. It equips database developers, administrators, and analysts with many professional tools integrated into one platform. With the help of DataGrip, users can work with large queries and stored procedures easily as well as code faster with the help of auto-completion, syntax checks, quick fixes, etc.
Source: blog.devart.com
9 Best Database Software For Mac [Reviewed & Ranked]
It is not easy to say which is the best database software for mac. You need to work out if you are after a general database client for development or are you after a full-blown IDE. For a general database developer tool, DBeaver is free and open-source and has basic to advanced features. If you want a full IDE then TablePlus or DataGrip will be more suitable options.
Source: alvarotrigo.com
DBeaver v. MySQL Workbench v. POPSQL v. Visual Studio Code.
Pricing: DataGrip doesn’t have a community version. You can download and use the free trial for 30 days, then you need to pay for a subscription service. It costs $8.9/mo for an individual and $19.9/mo/user for business.
Source: medium.com

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than DataGrip. While we know about 56 links to Apache Spark, we've tracked only 1 mention of DataGrip. 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 / 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 / 11 months ago
View more

DataGrip mentions (1)

  • Which Is The Best PostgreSQL GUI? 2021 Comparison
    DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it's developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won't need an introduction on how good JetBrains IDEs are. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Apache Spark and DataGrip, 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.

DBeaver - DBeaver - Universal Database Manager and SQL Client.

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

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

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

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Loading...