# web-API to read/write tags json

**URL:** <https://forum.inductiveautomation.com/t/web-api-to-read-write-tags-json/19038>\
**Category:** Ignition\
**Created:** [July 31, 2018, 10:04pm UTC](https://forum.inductiveautomation.com/t/web-api-to-read-write-tags-json/19038 "2018-07-31T22:04:32Z")\
**Posts on this page:** 1\
**Showing post:** 38

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**Author:** ![R.Alamsha](https://avatars.discourse-cdn.com/v4/letter/r/e5b9ba/32.png) [@R.Alamsha](https://forum.inductiveautomation.com/u/R.Alamsha)\
**Post date:** [August 19, 2018, 8:21am UTC](https://forum.inductiveautomation.com/t/web-api-to-read-write-tags-json/19038/38 "2018-08-19T08:21:41Z")

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> [@PRAMANJ](#):
>
> And how much time does Ignition take to write 1000 tags from transaction group to DB?

I am running the complete project on an abandoned home pc (2008 model) on Ubuntu 18.04, 4 GB RAM. To update 5000 tags on MySQL, TG takes around 3 to 4 secs. If i run it on "H2 in-memory db", for 10,000 tags it takes less than 4 secs. The performance is directly proportional to the RAM. I would like to run it on a 32/64GB RAM machine with H2 IMDB and see some lightning performance 🙂

> [@PRAMANJ](#):
>
> That's very impressive. What is the cycle time to read 1000 tags from data base to php? i.e. how many times can you fetch 1000 tags json payload in a second from db to .php server?

Pls check out this one.

> [@Ignition + Apache Kafka =\> Build Massively Scalable Projects - Demo](http://forum.inductiveautomation.com/t/ignition-apache-kafka-build-massively-scalable-projects-demo/19317):
>
> What is Apache Kafka? Apache Kafka is an open-source streaming platform that was initially built by LinkedIn. It was later handed over to Apache foundation and open sourced it in 2011. According to Wikipedia: Apache Kafka is an open-source stream-processing software platform developed by the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Its storage layer is essentially a “m…

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