How to join SAP HANA and Heroku Postgres

Learn how to join SAP HANA with Heroku Postgres for integrated analysis

WITH DATA VIRTUALITY PIPES
Replicate SAP HANA and Heroku Postgres data into one target storage and analyze it with your BI Tool.
How to join SAP HANA and Heroku Postgres with Pipes


About SAP HANA

SAP HANA is an in-memory computing platform deployable in the cloud or on premise which delivers more intelligence, enables to accelerate business processes, and simplify IT environments.  SAP HANA removes the burden of siloed data and maintaining separated legacy systems by providing one foundation for all data needs, so customers are able to make better business decisions.

About Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service based on PostgreSQL. Besides the database Heroku Postgres delivers an additional toolset consisting of the possibility to fork the database to clone it with a single command for running test on the clone, read-only replicas of the database, continuous protection and mutli-ingress to access the database from anywhere on the internet.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to SAP HANA, Heroku Postgres and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.