Software Alternatives & Reviews

Apache Spark VS Sequelize

Compare Apache Spark VS Sequelize 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.

Sequelize logo Sequelize

Provides access to a MySQL database by mapping database entries to objects and vice-versa.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Sequelize Landing page
    Landing page //
    2022-10-28

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

Sequelize videos

Sequelize Review

More videos:

  • Review - sequelize review
  • Review - Should you use Sequelize, TypeORM, or Prisma?

Category Popularity

0-100% (relative to Apache Spark and Sequelize)
Databases
85 85%
15% 15
Web Frameworks
0 0%
100% 100
Big Data
100 100%
0% 0
Development
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 Sequelize

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...

Sequelize Reviews

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

Social recommendations and mentions

Apache Spark might be a bit more popular than Sequelize. We know about 56 links to it since March 2021 and only 44 links to Sequelize. 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

Sequelize mentions (44)

  • NodeJS Security Best Practices
    If you use Sequalize, TypeORM or for MongoDB, we have Mongoose these types of ORM tools, then you are safe by default because these help us against the SQL query injection attacks by default. - Source: dev.to / 3 months ago
  • How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
    Our orders microservice will have its own set of teachnologies just like we earlier plotted that is mysql database and sequelize orm. MySQL is an open-source relational database management system (RDBMS) that is widely used for building web applications and managing data. It is a popular choice for many developers and organizations due to its performance, reliability, and ease of use. Sequelize is a popular... - Source: dev.to / 3 months ago
  • What Are ORMs & Should You Use Them
    However, some ORM operations can’t be translated into a single SQL query that easily. Let’s take Sequelize's findOrInsert. It first sends a SELECT query like this:. - Source: dev.to / 6 months ago
  • Top 6 ORMs for Modern Node.js App Development
    Sequelize is an extensively employed ORM for Node.js. It supports relational databases, such as MySQL, PostgreSQL, SQLite, and MSSQL. Sequelize boasts a comprehensive array of features for database modeling and querying. It caters to various coding styles by accommodating both Promise and Callback-based APIs. Moreover, it encompasses advanced functionalities such as transactions, migrations, and associations,... - Source: dev.to / 7 months ago
  • Contributing to Tech Communities: How Open-Source can land you a job and get you out of the Skill Paradox 💼
    I made a small change to the new documentation for Sequelize! I was just scrolling through the documentation and found this mistake that could lead others to weird debugging sessions, so as soon as I found it, I submitted a PR for them! You can check out the contribution here! - Source: dev.to / 8 months ago
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What are some alternatives?

When comparing Apache Spark and Sequelize, 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.

Hibernate - Hibernate an open source Java persistence framework project.

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

Entity Framework - See Comparison of Entity Framework vs NHibernate.

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

SQLAlchemy - SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.