Apache Spark
Apache Flink
Hadoop
Apache Storm
Apache Kafka
Apache Hive
Apache Airflow
Spring Batch
Opa
Ruby on Rails
ASP.NET
ember.js
Backbone.js
AngularJS
Derby.js
ExpressJS
Apache Spark OpaBased on our record, Apache Spark seems to be a lot more popular than Opa. While we know about 70 links to Apache Spark, we've tracked only 3 mentions of Opa. 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 Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 28 days ago
Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 30 days ago
One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago
[1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
I remember Opa http://opalang.org/ tried something similar at the time when MongoDB was new and modern. - Source: Hacker News / over 1 year ago
We come across some web frameworks and technologies that we think will succeed, but they wither away as time passes by and don't succeed to the level we expected. Which web frameworks and or technologies did you come across that you thought would succeed but did not as per your expectations? For example, I thought that Opa Lang[0] and UrWeb[1] would succeed but did not, even though the ideas were sound. [0]... - Source: Hacker News / almost 2 years ago
I think the Opa language was doing JSX-like code in the frontend before JSX http://opalang.org/ Both Opa and JSX were created in 2011. Opa had other innovations as well, such having the same code base run on both client and server (like Next.js). Unfortunately it didn't get traction and was abandoned by the creators. - Source: Hacker News / about 4 years ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Hadoop - Open-source software for reliable, scalable, distributed computing
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
ember.js - A JavaScript framework for creating ambitious web apps
