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Tabidoo is a Czech low-code platform designed for creating custom business applications. Founded in 2017, it helps companies organize and manage their data once traditional spreadsheets are no longer enough. As a comprehensive and highly flexible system, it adapts to even the most demanding clients and grows with them as their business evolves and their needs expand over time.
One of Tabidooโs biggest advantages is its pricing model. Unlike most SaaS platforms, Tabidoo charges per license, not per user, starting at just 1,500 CZK. The platform also offers a freemium model โ all features are available free.
Tabidoo is used by companies of all sizes โ from small businesses to large enterprises. The platform currently powers several thousand active users, and the number continues to grow rapidly. Among its key clients are Dr. Max, The National Theatre, The General Financial Directorate, ล koda Transportation, Atelier A8000, and Direct Auto.
๐ Edit, delete, or link data across multiple applications. ๐ Share applications with other users and assign permissions individually. ๐ Create dashboards and customize widgets such as tables, charts, KPIs, summary panels, and gauges. ๐ Set up email notifications, automated workflows, and reports. ๐ Download ready-made templates and adapt them to your needs. ๐ Manage data, tasks, and processes all in one place. ๐ Switch between 30+ languages โ Tabidoo speaks your language. ๐ Transform data into clear visual infographics. ๐ Plan meetings and interviews directly within the platform. ๐ Integrate with other apps via Zapier, Make, or native API.
For more complex logic, users can customize Tabidoo further using JavaScript.
Behind Tabidoo stands a team of experienced developers โ Michal ฤumpelรญk, Pavel Hruschka, Vratislav Morkus, Jan Pinฤรกk, and Jan Zednรญk โ each with more than 20 years of experience in IT and software development.
Amazon Redshift
TabidooTabidoo's answer:
.Net core, Mongo, Angular, RabbitMQ, Node.js....
Tabidoo's answer:
Business model. Tabidoo does not charge per user. Even in free edition (pricing plan), all the features are available forever.
Tabidoo's answer:
Tabidoo is an optimal choice for everyone, who knows how to run his business and just needs an affordable yet very good tool (IT System) to support the business. With Tabidoo, you are not forced to change the process, you are changing the system to support the process.
Tabidoo's answer:
Our main audience includes small to medium-sized businesses focused on growth, looking to improve their management practices. These businesses are motivated to leave behind outdated methods like paper and spreadsheets in favor of a single, integrated system. They value having all their data in one place, avoiding the complexity of using different systems for different tasks. Our platform caters to those seeking a simple, all-in-one solution to streamline their operations.
Tabidoo's answer:
In 2016, a team of three developers, all former team leaders, faced a new project with many mundane tasks. They decided to take a different approach to make the development process more efficient and reusable for future projects. This decision came well before the rise of the LowCode/NoCode movement.
After finishing their first project, they saw the potential of their platform and decided to offer it to both developers and non-developers. That's how Tabidoo was created.
Tabidoo has really made managing data easier for me. We use it to keep track of customer contacts and their order history, which is straightforward. What I like the most is that I can quickly tweak forms and create reports as needed... It's user-friendly, which is great for everyone - from tech-savvy users to those who are less experienced. It's also super flexible, handling small and large datasets with ease. Overall, it's been smooth sailing with Tabidoo, and I'd definitely recommend it.
I've been using Tabidoo for a while now, and I'm blown away by its capabilities! For someone with no or limited coding experience, this platform has truly been a game-changer.
Firstly, the user interface is intuitive and user-friendly. I was able to dive right in and start building without any prior training. The drag-and-drop functionality makes it a breeze to create apps, and workflows. Absolutely perfect for the smaller companies, since entry level is quite easy and also the price is great! You can start with the free version and upgrade anytime!
We switched to Tabidoo when our team started to expand. The price-solution ratio/quality and practicality of processing is absolutely great from my point of view. We don't pay for users and it is the biggest benefit, I think.
Based on our record, Amazon Redshift seems to be more popular. It has been mentiond 30 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.
Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 5 months ago
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, youโve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming โ one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / over 1 year ago
Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. Itโs a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / over 1 year ago
With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / almost 2 years ago
They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / over 2 years ago
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