Last year, Cambridge Semantics took a bold move to spin out AnzoGraph® DB as a separate product. Our database engine has long been (and continues to be) the core of the popular Anzo® data fabric product. Through Anzo, AnzoGraph DB has achieved success. That said, the interest in a separate stand-alone engine has been incredible. Users and partners who want to build their own graph database applications, or those in the corporate setting who want to scale beyond the capabilities of the many transactional and single node graph databases on the market, are happy we're here and innovating.
Today, we're unveiling AnzoGraph DB Version 2, which includes some extraordinary new facets. First, we continue with innovations in scalability and analytical capability highlighted by features like labeled property graphs in RDF and performance enhancements. Next, we now enable users to build their own MPP-capable custom analytical functions that will run in a cluster by leveraging our SDK. Finally, and perhaps most importantly, we're introducing a Free Edition , which will allow the graph community to start using our analytical graph in commercial projects at no cost.
The innovation level that the AnzoGraph DB development team has brought this year, especially with regard to scalability and graph analytics performance, has been stellar. On top of platform stability, the recently added features that are resonating with the market include:
Scalability – When transactional graph database users reach their limits, they look for alternatives. Simply put, we have the fastest graph database available and scalable to trillions of triples, despite what other vendors have to say.
Labeled Properties – The major rub against RDF graph databases is now gone as AnzoGraph supports labeled properties under the new RDF* standard. Imagine being able to do labeled properties, just like you do in Neo4j and other property graphs, but also have the capability of RDF to help you with ontologies and inferencing. It's a powerful combination.
I'd gladly put it head to head with any graph database on the market on performance and analytical completeness.
There are applications that can leverage standard analytics and graph algorithms. Frankly, most of the graph database vendors on the market support friend-of-a-friend syntax and graph algorithms. Our unique value here has always been about analytics that traverses the graph across many hops. Given the MPP nature of AnzoGraph DB, we've always been about using all cores and all compute resources in the cluster to speed through compute tasks.
This philosophy holds true even in our new software developer kit, where our partners and customers can develop algorithms that can use the cluster and calculate results quickly. Even the other guy's so-called "fastest graph database" can't do this, often relying on one node for completing complex calculations. If you have a big graph problem to calculate and no time to complete it, AnzoGraph DB is the fastest.
To put this new capability through its paces, we've also developed over 40 algorithms for data science and feature engineering that you may find useful. Download our Zeppelin notebook to get them and see how it's done. We think it's an interesting prelude to machine learning and AI. It's also useful for emerging areas like genomic research, for example, where companies want to develop deep analytics that spans the graph.
Last but not least, I'm excited that we can offer AnzoGraph DB Version 2 in a Free Edition, for use in commercial and non-commercial projects. We're expecting that the greater graph database community will begin to use it for their own data harmonization and analytics projects. Users who download will automatically get a free license that they can use forever for up to 8 GBs of usable memory. When registered, the product will support 16 GBs. Think of it as our thanks to the graph community for support and help over the years.
For our Free Edition support, we'll be monitoring Stack Overflow. So, please give it a try and should the need arise, post your questions there. Now's the best time to dive in and give AnzoGraph DB a try. We believe that once you do, you'll love it!
To learn more, read our release notes and download AnzoGraph DB, today.