I Just came across an interesting post by Josh Heitzman who writes about his negative experience with Google App Engine, which led him to examine a list of Alternatives to Google App Engine. He points out GigaSpaces XAP as one of them:
platform that provides in memory transactions backed up to a database.
The in memory transactions appear to scale linearly across machines
thus providing a distributed in-memory datastore that gets backed up to
persistent storage. A lot of the docs reference Java, but the page
returned by the aforementioned link states “…deploy applications that
use Java, .Net, C++, or even scripting languages…” so after a cursory
investigation it is not clear what aspects of their platform is only
accessible via Java and which aspects are generally accessible. Bears
Josh’s post raises the question of what is Platform-as-a-Service (PaaS)?
Platform-as-a-Service is a term used to describe a new set of development platforms that are typically accessible through the web. These platforms enable you to develop new applications easily, without the need to install any software or set up a development and deployment environment. A good example of this is Force.com from Scalesforce.com. Other SaaS providers have similar platforms. It seems that the common motivation behind this trend is to enable the SaaS provider a way to expose their internal framework to other partners and users and build an eco-system around their SaaS product. This led to the emergence of dedicated, proprietary platforms. Google App Engine is a similar effort from Google initiative to expose some of their own platform to external users.
These platforms, as Josh experienced, were not designed as a general purpose enterprise platform, and therefore, it is not surprising that they lack many of the elements that you would normally expect from enterprise middleware, such as transaction support, security and standard APIs.
Unlike such Internet based platforms, GigaSpaces XAP was primarily designed as an enterprise middleware platform. It is used in the most demanding mission-critical applications that require extreme scalability and low-latency. During the past year we have extended our middleware platform to the Internet cloud, starting with tight integration with Amazon EC2 and followed with partnerships and integration with leading players in the market, including GoGrid, Joyent, RightScale, CohesiveFTand others. We recently launched our cloud framework in private beta. It enables building enterprise applications on GigaSpaces XAP via the internet. In this way, you can run an application on a hosted GigaSpaces environment, without even downloading the GigaSpaces software.
What makes GigaSpaces XAP an alternative to Google App Engine for the enterprise?
- Support for existing enterprise applications:
In this post, I want to reiterate this point, which goes to the heart of one of the main differences between GigaSpaces XAP and most Internet based PaaS, including Google App Engine and Force.com. Many enterprise applications are already built in Java, .Net or C++. To support enterprise applications, you first need support for these core languages. GigaSpaces XAP not only supports these languages, but also enables efficient interoperability among them.
- No vendor lock-in:
- Designed to support both local enterprise clouds and Internet clouds:
- Enterprise-grade reliability and scalability:
Many of the assumptions the platforms operate under are not acceptable to enterprise-grade applications. GigaSpaces XAP was designed to meet the most demanding requirements for maintaining both scalability and 24/7 high-availability without losing any data and without compromising scalability or performance.
This is only a partial list of differences, but I think that it makes clear how GigaSpaces is different than most Internet-based PaaS offerings, including Google App Engine.
You can read more about our cloud offering on gigaspaces.com/cloud. If you are interested, try out our new Cloud Framework and see for yourself how easy it is to set up a production-ready cluster with load- balancing and scalability within minutes.