Streamline your data management process with the SharpSpring + PostgreSQL integration

SharpSpring is a marketing automation platform designed to help businesses to acquire more prospective clients and make more sales. What makes SharpSpring different than other similar tools? First of all, SharpSpring is an easy-to-use tool, and you can integrate it with the most-used marketing tools that you probably already use for your business, like wordpress, salesforce, gotowebinar, just to name a few.

SharpSpring enables you to switch from a traditional, massive marketing, to a one-on-one marketing thanks to marketing automation. In fact, you can create campaigns that automatically segmentate your audiences based on how they behave with your campaigns, which links they link, and email opens. In other words, you can send exactly the right message, to the right people, in the right time, sending the information your contacts need in order to make a decision.

Thanks to the social integration, you can extend your marketing to Facebook, Linkedin, Twitter etc., so you can reach your clients where they spend time most.

PostgreSQL is an open-source, object-relational database management system (ORDBMS) that is not owned or controlled by one company or individual. Because PostgreSQL software is open-source, it is managed mostly through a coordinated online effort by an active global community of developers, enthusiasts, and other volunteers.

An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance.

PostgreSQL supports international character sets, multibyte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL instances in production environments that manage many terabytes of data, as well as clusters managing petabytes