Feb
06 No SQL to be found
No SQL to be found
SQL: Structured Query Language. The technology used by conventional databases (Oracle, MySQL) to store data in rows and columns. Experts in SQL command a high price in the marketplace as Database Administrators (DBAs) or programmers.
NoSQL: Not Only SQL, or Non-SQL databases. A big trend in IT, these databases use views of data other than rows and columns to store and organize information. They may use trees and paths (like a file system on a computer) or documents (like a filing cabinet with indexes).
DataButler is designed for people who have data, but don't have the resources within their business to get into SQL or NoSQL. They are non-SQL shops, and there are millions of them. You may be one of them. You have some accounting application, a bunch of spreadsheets, a folder full of word processing templates that you use as forms. You may have an app or two on your smartphone that simplifies your workload. You may even have a group of SaaS products that allow you to run your business online without anything more than a web browser running on your laptop.
But data is one of the drivers of your business (that and money). If you don't know who, what, where, when, and how, you are making bad decisions and losing money.
Hiring a person to organize all of your data and track the KPIs and metrics is unrealistic. Figuring out how to integrate all the different apps out there could take another full time employee. Let's make this easier.
DataButler is designed for people who know spreadsheets. Spreadsheets are simple, extensible, and valuable for non-SQL people. But the value in databases is the connections they allow, and the connections they uncover. DataButler understands spreadsheets, sees your data, and can make connections (over time, between different spreadsheets, between different authors).
You might not need SQL or NoSQL yet. But you do need Data. In fact, you have Data, but it's not being used effectively yet. DataButler will help you get there.
Categories: Software