We use the product to manage large datasets. We also use it for forecasting. The product is integrated into our application to test the data.
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We use the product to manage large datasets. We also use it for forecasting. The product is integrated into our application to test the data.
The processes are quick. The data is arranged well. The tool is user-friendly. We are working on a Windows app. It is easy to view and analyze the data. The logs are valuable. The solution is reliable. It is a Windows-based application.
The search option is not very good. If I need to see data in a table, I must go into the table. The solution must provide filter options in the log files so that we can search for a particular range of data.
I have been using the product for four to five months.
We have not had any performance issues with the solution.
The solution is scalable. Though the data grows with time, the performance stays the same. Four to five people are using the solution in our organization. We are expecting an increase in the number of users soon. The data processed is large since we work on forecasting.
The initial setup was straightforward.
We do not use the product for web application development. The management decided to use the product. I recommend the tool to others. If the data format is okay, we will face no problem using the tool. Overall, I rate the solution a nine out of ten.
We use SQLite to store data locally within our mobile applications.
We use it for storing data within the local storage of the mobile application. That's its primary purpose.
A potential drawback is that the database file stored within the application's local storage could be accessible to users.
When you build a mobile application with SQLite, the database file is often included in the assets folder. When the app is installed, a folder is created in the device's local storage.
In older Android versions, it was possible to access that database file directly from the local storage. I'm not sure if this is still a concern with the latest Android versions like 10, 11, or 12.
I have been using it for three years.
I haven't encountered any problems in my use cases. So, it has been a stable product for me.
Usage depends on project requirements. Some applications need local storage, so developers might use SQLite; others might use something like Entity Framework. It varies, and sometimes, client preferences also play a role.
There might be over a hundred end users.
SQLite was a standard approach for storing data locally in mobile applications. That's the main reason for its adoption.
The initial setup quite simple. You download the setup files from the official source, install them on your Windows system, create a database, and then copy that database file into your mobile application. The process is clear and easy to follow.
SQLite is primarily used for embedded storage in mobile applications.
It is not expensive.
There are both pros and cons to SQLite.
You need to consider both the advantages and the potential security concerns.
Overall, I would rate the solution an eight out of ten. I would recommend using it.