---
title: "How to Get Server Processing Speeds Inside your IDE"
date: "2016-07-06"
categories: 
  - "development"
  - "xquery"
  - "xsl"
tags: 
  - "raptorxml"
  - "xmlspy"
  - "xquery"
  - "xslt"
description: Discover how to enhance XSLT and XQuery processing speeds in XMLSpy by integrating RaptorXML Server for optimized performance using parallel computing.
---
Status: #blog

Tags:  #raptorxml #xmlspy #xquery #xslt

Categories: [development](/blog/category/development.md) | [xpath+xquery](/blog/category/xpathxquery.md) | [xsl](/blog/category/xsl.md)
# How to Get Server Processing Speeds Inside your IDE

Nothing interrupts the flow of development like waiting for a collection of files to transform - yet this step is unavoidable when writing, testing, and debugging XSLT and XQuery code.

In addition to offering the [XSL Speed Optimizer](https://www.altova.com/xmlspy/xslt-profiler.html#xso), we’ve worked hard over the years to make sure the processor in XMLSpy is as fast as possible. As quick as it is today, it’s still limited to a single core execution on the CPU in your development machine - well, not any more.

 

![Servers](/blog/images/138488228_700px.jpg)

 

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Now you can enlist the services of a [RaptorXML Server](https://www.altova.com/raptorxml.html) on your network to muscle through those XSLT transformation and XQuery execution jobs – directly inside XMLSpy. Because the RaptorXML engine is designed for parallel computing, it lets you take advantage of the increased throughput and efficient memory utilization provided by multi-CPU, multi-core machines.

It’s easy to connect XMLSpy to one or more RaptorXML Servers in your network. In XMLSpy, open the Tools menu and select _Manage Raptor Servers_ to add and configure your server details.

 

![Configuring RaptorXML Server in XMLSpy](/blog/images/server-options.png)

 

Once this is configured, you can initiate a [high-performance XQuery or XSLT transformation](https://www.altova.com/raptorxml.html) by right-clicking the desired folder in the XMLSpy Project window and selecting _XSL Transformation on Server_ or _XQuery/Update Execution on Server_.

 

![Running XSLT on RaptorXML ](/blog/images/xslt-on-server.png)

 

Results, of course, depend on the specifics of your project, as well as the number of cores allocated to RaptorXML Server – the more cores, the faster the performance.

### Results 9 to 14 Times Faster

We compared performance on a typical developer’s machine against speeds achieved using common RaptorXML Server configuration integrated with XMLSpy over a 1 GB network.  Using the Raptor integration, XQuery execution was **up to 9 times faster**, and XSLT transformations ran **up to 14 times faster**!

For these tests, the developer’s machine was Win 7 32bit, Core2 Duo E8600 3.3GHz (2 cores), 4GB RAM. The RaptorXML Server config was a 64bit Linux server, Xeon E5-2630 2.3GHz (12 cores), 128GB RAM. Your results may vary.

We hope this integration makes RaptorXML Server even more useful your development team, because you can now take advantage of a single shared RaptorXML Server for hyper-performance processing of files inside XMLSpy.

We’ve focused on [XSLT](https://www.altova.com/xmlspy/xslt-editor.html) and [XQuery](https://www.altova.com/xmlspy/xquery-editor.html) in this article, but super-fast [validation of XML](https://www.altova.com/xmlspy/xml-validator.html), [XBRL](https://www.altova.com/xmlspy/xbrl-validator.html), and [JSON](https://www.altova.com/xmlspy/json-editor.html) in XMLSpy via RaptorXML integration is also supported.

 

If you don’t already have RaptorXML Server on your network, you can download it for Windows, Linux, or Mac and [try it free](https://www.altova.com/download-trial-server.html) for 30-days.