Sync contacts between Microsoft SQL Server and CSV with sync.blue®
This sync combination is available.
Use all contacts of Microsoft SQL Server and CSV in both apps
Instead of having different contacts in Microsoft SQL Server and CSV, sync.blue® keeps them perfectly in sync. So you can use all contacts in both apps.
Fully automated sync between Microsoft SQL Server and CSV
No manual interaction required anymore. sync.blue® keeps Microsoft SQL Server and CSV contacts fully automated in sync - again and again.
Avoid and eliminate contact duplicates in Microsoft SQL Server and CSV
Find, eliminate and avoid contact duplicates automatically. sync.blue® will save you a lot of hassle with this ugly topic everybody else struggles with - no matter if in Microsoft SQL Server or CSV.
Show caller ID of your Microsoft SQL Server or CSV contacts on your phone
Make your phone know who is calling you. sync.blue® syncs your contacts from Microsoft SQL Server and CSV right to your phone so it knows the caller ID already when it starts to ring. Make your caller smile and greet him personally when taking the call.
Reach more customers with newsletters and your other favourite marketing tools
Finally make use of all your contacts within your company your phone know who is calling you. sync.blue® syncs your Microsoft SQL Server and CSV contacts by syncing them with your favourite marketing tool (newsletter, automation, live-chat,...). This is how you make money of your business contacts.
No software required - it all works in the cloud
Start easily and immediately. You do not need any kind of hardware, server or even technical skills. sync.blue® comes an easy and secure cloud service just syncing your contacts.
A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields. The CSV file format is not fully standardized. Separating fields with commas is the foundation, but commas in the data or embedded line breaks have to be handled specially. Some implementations disallow such content while others surround the field with quotation marks, which yet again creates the need for escaping these if they are present in the data.