With our Plug & Play connectors, connect all your heterogeneous data in a few clicks (files, SQL databases, REST API ...).
Merge your data by creating joins between sources. The joins can be between two sources of the same type (for example two tables of the same SQL database). They can also be between sources of different types (e.g. Google Analytics and an Excel file with objectives). The join keys can be simple columns or calculated formulas.
You have a CSV file of several million lines and you want to exploit it quickly. Simply load it into the Serenytics interface and you can immediately start your analyzes. Seamlessly, the file is loaded into our high-performance internal Datawarehouse.
If your data system allows you to export flat files to an SFTP server, you can configure the Serenytics engine to load this data on a regular basis (for example, every night). The configuration is done via a graphical interface. In a matter of minutes, your loading process is operational.
If your data is only accessible via a non-standard API or some other way not provided by default in Serenytics, you can simply implement your own Python language connector. Then you can run this data loading script on a regular basis directly on the Serenytics platform.