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.
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
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
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
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
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
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
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
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
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
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
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.