Connecting Your PostgreSQL & TigerGraph Data
Whether you’re integrating PostgreSQL with TigerGraph or moving data from one of these solutions to the other, getting your information where it needs to be is crucial. Use StarfishETL’s robust iPaaS to connect your data with speed and flexibility.
Secure Connections Between PostgreSQL to TigerGraph
The iPaaS powering your PostgreSQL and TigerGraph connection not only provides unrivaled scalability, but also offers strict security protocols to keep data safe as it moves across applications. StarfishETL applies two-fold data security between Amazon Web and our internal servers to maintain the highest levels of protected infrastructure. Strict data encryption practices and progressive security principles keep sensitive information secure at all times as it passes between PostgreSQL and TigerGraph.
PostgreSQL and TigerGraph Integration
Integrate PostgreSQL and TigerGraph to boost your analytical power, align your teams, and create more omnichannel experiences across your business. StarfishETL makes the process seamless with a library of pre-configured maps at your fingertips and easy ways to customize your project. Check out the visual below to learn how a typical integration flows. Then, contact our team to request a quote on your PostgreSQL and TigerGraph project.
Set up access to each system
Define processes & stages
Modify integration & add custom fields
Test integration
Run initial data migration load
Ensure keys are matching between systems
Start integration
About These Solutions
PostgreSQL is an open-source object relational database built for SQL compliance. PostgreSQL provides a scalable infrastructure that is reliable and highly responsive, an excellent platform for data warehousing and application development.
TigerGraph is a graph database that automatically uses data to speed up manually programming information. TigerGraph's graph AI platform is built on the first and only distributed native graph database in the industry. The solution enables seamless integration with tooling and enterprise connectors and focuses on storage and computation for data scientists and developers looking to deploy analytical solutions.