Sails.js Reviews

Apache Flink Reviews

Sails.js mentions (25)

• Choosing the best JavaScript framework for your next project

  Sails is a realtime JavaScript framework built on top of Express. Sails offers built-in realtime communication support and a flexible routing system. - Source: dev.to / 6 months ago

• Best NodeJS frameworks for seamless backend development

  Sails is a realtime MVC framework for NodeJS built on top of Express. Sails has a flexible routing system and comes with built-in realtime communication support. - Source: dev.to / 7 months ago

• The Ascent of Node.js: How a runtime changed the Web

  Sails.js: Sails.js pitched itself as the MVC framework for Node.js, bringing a Rails-like experience while being database agnostic. - Source: dev.to / 10 months ago

• WebSockets 101

  Disclaimer: I didn't know much about Websockets 1 week ago, all the experience I had with Websockets was when I developed a chat application back in 2016 using a JS framework that tried to be a Ruby on Rails implementation called SailsJS, so I decided to research about this technology and consumed multiple resources which I will link in this blog post and each section. - Source: dev.to / 11 months ago

• Advice on promoting and pitching Rails

  Perhaps Sails.js. They mention RoR. An Angular teacher used it to create a fast API. Source: 12 months ago

Apache Flink mentions (30)

• Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust

  Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 1 day ago

• Array Expansion in Flink SQL

  I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 21 days ago

• Show HN: An SQS Alternative on Postgres

  You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 2 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago