
RapidAPI for Mac
Postman
Insomnia REST
Hoppscotch
Apigee
Amazon API Gateway
DreamFactory
MuleSoft Anypoint Platform
Materialize
Apache Flink
Apache Kafka
RisingWave
ClickHouse
OctoSQL
Amazon Kinesis
Timeplus
RapidAPI for Mac
MaterializeBased on our record, Materialize should be more popular than RapidAPI for Mac. It has been mentiond 74 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.
RapidAPI for Mac, formerly Paw, it's free for individuals. https://paw.cloud/. - Source: Hacker News / 9 months ago
If you're on macOS, try Paw/RapidAPI https://paw.cloud They may be affected by AWS. - Source: Hacker News / 9 months ago
Although Apidog is a popular REST client, you can also use others, such as Insomnia, RapidAPI for Mac, and Hoppscotch. - Source: dev.to / over 1 year ago
But it can't help when faced with this complex scenario because it doesn't support set the content-type for text field of a multipart request. I tried Paw, Bruno and they didn't work either. - Source: dev.to / over 1 year ago
To use Paw, purchase and download it from the Paw website. Open the app, create a new request, and start testing your API endpoints with ease. - Source: dev.to / about 2 years ago
Did I miss in the article where OP reveals the magic database that actually does this? 3rd party solutions like https://readyset.io/ and https://materialize.com/ exist specifically because databases donโt actually have what we all want materialized views to be. - Source: Hacker News / 11 months ago
This triggered some associations for me. Strongest was Cells[0], a library for Common Lisp CLOS. The earliest reference I can find is 2002[1], making it over 20 years old. Second is incremental view maintenance systems like Feldera[2] or Materialize[3]. These use sophisticated theories (z-sets and differential dataflow) to apply efficient updates over sets of data, which generalizes the case of single variables.... - Source: Hacker News / about 1 year ago
It's hard to write something that is both accessible and well-motivated. The best uses of category theory is when the morphisms are far more exotic than "regular functions". E.g. It would be nice to describe a circuit of live queries (like https://materialize.com/ stuff) with proper caching, joins, etc. Figuring this out is a bit of an open problem. Haskell's standard library's Monad and stuff are watered down to... - Source: Hacker News / over 1 year ago
> [...] `https://materialize.com/` to solve their memory issues [...] Disclaimer: I work at Materialize Recently there have been major improvements in Materialize's memory usage as well as using disk to swap out some data. I find it pretty easy to hook up to Postgres/MySQL/Kafka instances: https://materialize.com/blog/materialize-emulator/. - Source: Hacker News / over 1 year ago
I agree. So many disparate solutions. The streaming sql primitives are by themselves good enough (e.g. `tumble`, `hop` or `session` windows), but the infrastructural components are always rough in real life use cases. Crossing fingers for solutions like `https://github.com/feldera/feldera` to solve their memory issues, or `https://clickhouse.com/docs/en/materialized-view` to solve reliable streaming consumption.... - Source: Hacker News / over 1 year ago
Postman - The Collaboration Platform for API Development
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Insomnia REST - Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a devโfriendly UI, built-in automation, and an extensible plugin ecosystem.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Hoppscotch - Open source API development ecosystem
RisingWave - RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.