Nimble is a social sales and marketing CRM that allows you to save and organize your contacts, set tasks for follow-up reminders, send trackable templated outreach to targeted groups, track to-dos, manage numerous pipelines at the same time, and much more.
PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.PostgreSQL Integrations
Nimble + PostgreSQLUpdate Row in PostgreSQL when New Contact is created in Nimble Read More...
PostgreSQL + NimbleCreate task to Nimble from New Row (Custom Query) in PostgreSQL Read More...
It's easy to connect Nimble + PostgreSQL without coding knowledge. Start creating your own business flow.
Triggers when you add a new contact.
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Creates a new contact.
Create a new task.
Adds a new row.
Updates an existing row.
Nimble is a Cpumn-oriented database management system that has been designed for the storage of massive amount of data. It is an optimized database with a special purpose to support large-scale analytics and decision making. It is built on top of PostgreSQL and works as a wrapper around PostgreSQL. Nimble has been created by Open Source Development Labs (OSDL. which is a community-driven, non-profit organization that aims to advance open source software.
PostgreSQL is an open source relational database management system that has been developed by PostgreSQL Global Development Group (PGDG. It is a powerful and flexible object-relational database management system (DBMS. that can be used to store large quantity of data. It was created in 1996 by Michael Stonebraker who was the head of the database division at the University of California, Berkeley. He was able to develop high performance database management system that uses SQL, the standard language for querying and manipulating database systems. The main reason for developing PostgreSQL was to have an extensible, flexible and scalable database that could be used for multi-user applications.
The integration between Nimble and PostgreSQL is done in such a way that Nimble acts as a wrapper over PostgreSQL. Therefore, it creates a layer of abstraction and simplifies the process of data storage. It improves the performance of the PostgreSQL capabilities by using database virtualization technique. This technique helps to reduce inefficiencies due to database accesses and significantly boosts the performance of application. Therefore, Nimble can be used to overcome inefficiencies of conventional databases and help in achieving high performance database systems.
The biggest benefit of integrating Nimble and PostgreSQL together is that Nimble can act as a back end for PostgreSQL. This helps in overcoming limitations of conventional databases such as indexing, scalability and high availability etc. Therefore, it helps in achieving highly available, scalable and real time databases. Another characteristic of Nimble is that it has an ability to extend the functionality of PostgreSQL. This feature helps in improving the performance of the PostgreSQL with minimal effort. As stated earlier, Nimble acts as a wrapper over PostgreSQL which helps in eliminating any extra overhead associated with accessing data stored in PostgreSQL and hence enables real time data retrieval for business operations.
The integration of Nimble and PostgreSQL has provided many benefits and features to both the application users and developers. Therefore, this integration has helped in improving the efficiency and performance of these applications.
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