# Get started

Integrate Generic Web Services SOAP/REST

Get Instant access to Generic Web Services SOAP/REST with just a few clicks or sql commands
INTEGRATE Generic Web Services SOAP/REST WITH
PIPES
Connect and integrate Generic Web Services SOAP/REST with pipes
Web Services data source logo
INTEGRATE Generic Web Services SOAP/REST WITH THE
LOGICAL DATA WAREHOUSE
Connect and integrate Generic Web Services SOAP/REST with Logical Data Warehouse
Web Services data source logo
Join Generic Web Services SOAP/REST data with other data sources
Integrate Generic Web Services SOAP/REST in your data warehouse
Analyze data from Generic Web Services SOAP/REST in your BI tool

About Generic Web Services SOAP/REST

A web service is a service offered by an electronic device to communicate with other electronic devices via the World Wide Web. SOAP (Simple Object Access Protocol) is a protocol specification for the the transfer of structured data in the implementation of web services in computer networks. RESTful or Representational state transfer (REST) web services support the interoperability between computer systems on the internet by allowing requesting systems to access and manipulate textual representations of web resources using uniform state less operations.

DataVirtuality Benefits


Web service query builder

Can't find the connector to your web service? No problem. Build your own connectors to web services with drag and drop style in minutes.


Connect in 5 minutes

DataVirtuality is providing a simple wizard to type in your data source credentials to establish a connection. It only takes minutes and you see your data in a SQL query-able tables instantly after.


SQL Transformation

Query connected data sources with SQL. Query, join and integrate data from Google Analytics, Salesforce, Oracle, MySQL and many more data sources using SQL commands. 


Read and write data

Read and write data from connected data sources. Integrate data into an analytical database and write data back to data sources based on triggers.


©2018 DataVirtuality