One tool for secure access to your business data stored in different data sources. Powerful, simple and efficient solution for data management that does not require programming knowledge.
View your data in a grid or as visual charts in your browser or export it for further analysis. Create data reports faster with Skyvia Query and make data-driven decisions easier.
Manage your data from any device without the need to install any software locally. With only browser you get control over your data from anywhere whenever necessary.
Want to query your data but don't know SQL? Our powerful Query Builder tool can help you to build even complex queries visually via drag-and-drop without typing a line of code. It allows you to focus on data you want to get, automating the query generation. Whenever necessary, you can switch to SQL editor and tweak the generated SQL code if you need.
When you design a complex and especially useful SQL query, which you want to reuse in future, you can save it for future use in Skyvia Query Gallery. If you need to perform some routine data-related tasks, such as weekly or monthly reports, etc., you can design all the necessary queries once, and then open them, edit if necessary, and get all the necessary data and plots when you need them with no efforts.
If you have a large collection of queries, Skyvia offers a number of features to help you quickly find your queries:
Automate your reports or other data-related tasks with Skyvia Query. Create your own collection of useful queries and don't waste your time for routine tasks!
Skyvia also provides a number of predefined public queries for common use cases. They may well be useful for you or give insights on how to create your own queries.
Leads by Source Campaign (in current year)
Allows to see the number leads generated by each campaign run in the current year
Get size of all tables in database
The query helps to determine how much space on disk each table is consuming
Sales to Date versus Last Month
Total of sales to date for this month (for example, June 2015) versus last month (for example, May 2015)