Based on our record, Apache Spark should be more popular than Pushpin. It has been mentiond 57 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.
For realtime, I used Pushpin with Server Sent Events. (It supports WebSocket as well). - Source: dev.to / 11 months ago
Instead of letting clients directly interface with your services over websockets, consider using Pushpin [1], which allows you to completely isolate realtime communication from your services. As a bonus, it also provides you the ability to cycle (redeploy/restart) your services without your clients having to reconnect (that's where the name comes from). And as you can imagine - because communication with your... - Source: Hacker News / about 1 year ago
Vapor[0] based on Swift. Advantage of this is that you don't have to evaluate multiple frameworks for Swift and suffer paralysis by analysis. All the Swift community is behind one framework. The next is Actix[1] based on Rust. There are many frameworks in Rust and most of them have not reached 1.0 And which framework will survive becomes a question. Other not so well-known is Wt[2] based on C++. This actually is... - Source: Hacker News / over 1 year ago
If you are developing the backend then Pushpin[0] is the easiest to integrate with. [0] https://pushpin.org. - Source: Hacker News / over 1 year ago
There is also the option of running a proxy which handles the stateful nature of websockets (i.e. https://pushpin.org/), and then handle the rest in a stateless way with lambdas or similar. Source: over 1 year ago
In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 1 day ago
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 / 3 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 / 5 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 / 6 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 / 6 months ago
Django Channels - <p>Nowadays, when every second large company has developed its own instant messenger, in the era of iMessages, Slack, Hipchat, Messager, Google Allo, Zulip and others, I will tell you how to keep up with the trend and write your own chat, using <cod…
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Google Cloud Run - Bringing serverless to containers
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Socket.io - Realtime application framework (Node.JS server)
Hadoop - Open-source software for reliable, scalable, distributed computing