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Based on our record, Retool seems to be a lot more popular than TABLUM.IO. While we know about 99 links to Retool, we've tracked only 3 mentions of TABLUM.IO. 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.
Retool has carved out a specific niche by excelling at internal tool creation. Companies use it to build dashboards, admin panels, and business process applications that would otherwise consume valuable engineering resources. - Source: dev.to / 5 months ago
Retool โ Low-code platform for business applications. - Source: dev.to / 7 months ago
As mentioned by another poster, check out "Partner portals" section on https://retool.com/. - Source: Hacker News / 9 months ago
It is possible to speed up the development and delivery process for many internal applications by using no-code or low code tools. These vary in offerings from open source to SaaS, including popular ones like AirTable, BudiBase, Retool, NocoDB and others. These can all greatly help speed up delivery times. - Source: dev.to / 10 months ago
There are some No Code tools for Firebase. Some of them are fully integrated, some of them use some limited functions of Firebase through their API. If a tool allows you to integrate with a REST API, you probably can use it. Some of them are: FlutterFlow, JetAdmin, Retool, Bubble, etc. - Source: dev.to / 11 months ago
For the data loaded from the raw and unstructured data sources (RESTful APIs, files, feeds) I'd recommend checking tablum.io. The data first gets into the staging SQL DB where you can apply transformations in SQL (ClickHouse dialect with hundreds of ready-to-use functions for aggregations, transformations, string and array processing, etc). After that, you can set up a pipeline to external DWH or DB. Or just... Source: over 2 years ago
Fairly easy to parse it with Python (or any other scripting languages that support regular expressions). Besides, there're no-code parsers that can do that. E.g. tablum.io, it has a regexp parser that turns poorly formatted text into an SQL table. All you need it is to provide the regular expression (regexp) to split the text (per-line basis or the entire text) into chunks that become SQL rows and columns, after... Source: over 2 years ago
You're right. There should be some way to safely pass the authentication token without storing it in the query. BTW, to keep all data within the company network perimeter and no share any keys with the cloud service, one can install tablum.io as a self-hosted version on a Linux server (it runs in Docker). Source: over 2 years ago
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