How to join Pinterest and HyperSQL

Discover how to join Pinterest with HyperSQL for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Pinterest and HyperSQL data into one target storage and analyze it with your BI Tool.
How to join Pinterest and HyperSQL with Pipes


About Pinterest

Pinterest is a photo sharing web and mobile application containing one of the world’s most robust catalog of ideas. Registration is required for the users to create boards on Pinterest. Users can upload, sort, save, follow and manage images and pins on Pinboards.  

About HyperSQL

HyperSQL Database (HSQLDB) is a relational database management system written in Java. HSQLDB offers many features and adheres closely to the JDBC 4 standards and latest SQL. The Database delivers a fast engine with disk-based and in-memory tables and is available in both embedded and in server modes.

What is Data Virtuality Pipes?

Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with Pinterest, HyperSQL and more than 200 other cloud services and databases. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of Data Virtuality Pipes no longer have to worry about API changes. All connectors and data pipelines are fully maintained by us.

1

EXTRACT

Choose your data sources: Google Analytics, Salesforce, Facebook, Amazon MWS and more

2

LOAD

Move your data into a target storage: Amazon Redshift, PostgreSQL, Google BigQuery, Snowflake and more

3

ANALYZE

Analyze your combined data using the Business Intelligence tools of your choice: Looker, Tableau, Excel and more

PIPES PRICING

All connector bundles charged annually

2 Week Trial
unlimited connectors

FREE

Try Pipes at no cost. Full functionality. No strings attached.

Starter Bundle
Choose 1 connector

$249

/ month

Medium Bundle
Choose up to 3 connectors

$499

/ month

Large Bundle
Choose up to 5 connectors

$599

/ month

most popular option

Enterprise
Request more than 5 connectors