How to combine data from EXASOL with SAS

Pipes allows you to quickly Integrate EXASOL with SAS data for a combined analysis.
Load data from EXASOL and SAS into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to EXASOL, SAS, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to EXASOL and SAS

You just need to enter the associated credentials to allow Pipes access to the EXASOL API and the SAS API.
3

Combine data from EXASOL and SAS

Pipes lets you select the data from EXASOL and SAS that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About EXASOL

Exasol is a leading analytic database management software company. Eexasolution, runs on a cluster of standard computer hardware servers. It stores data in a column-oriented way, using proprietary in-memory compression. The relational database management system of Exasol helps companies to increase their efficiency and speed of analytic workloads.

About SAS

SAS provides a business analytics suite which help clients to gain insights from their data. The SAS software includes a basic SAS component that performs analytical functions and several other modules that add graphics, spreadsheets or other features.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.