User-Friendly Interface
TABLUM.IO features an intuitive and easy-to-navigate interface, making it accessible for users of various technical proficiencies.
Comprehensive Data Visualization
Offers a wide range of visualization options that help users create clear and insightful representations of their data.
Scalability
Designed to scale efficiently with growing data needs, making it suitable for both small and large datasets.
Integration Capabilities
Provides seamless integration with various data sources, facilitating easier data import and management.
Cloud-Based Accessibility
Being cloud-based, it allows users to access their data and tools from anywhere, promoting flexibility and remote collaboration.
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Check the traffic stats of TABLUM.IO on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of TABLUM.IO on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of TABLUM.IO's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of TABLUM.IO on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about TABLUM.IO on Reddit. This can help you find out how popualr the product is and what people think about it.
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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