Posts Tagged ‘RDF database’

Stardog 2.1 Hits Scalability Breakthrough

Stardog LogoWashington, DC – January 21, 2014 – The new release (2.1) of Stardog, a leading RDF database, hits new scalability heights with a 50-fold increase over previous versions. Using commodity server hardware at the $10,000 price point, Stardog can manage, query, search, and reason over datasets as large as 50B RDF triples.

The new scalability increases put Stardog into contention for the largest semantic technology, linked data, and other graph data enterprise projects. Stardog’s unique feature set, including reasoning and integrity constraint validation, at large scale means it will increasingly serve as the basis for complex software projects.

“We’re really happy about the new scalability of Stardog,” says Mike Grove, Clark & Parsia’s Chief Software Architect, “which makes us competitive with a handful of top graph database systems. And our feature set is unmatched by any of them.”

The new scalability work required software engineering to remove garbage collection pauses during query evaluation, which the 2.1 release also accomplishes. Along with a new hot backup capability, Stardog is more mature and production-capable than ever before.

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Pfizer Moves Semantic Tech Forward, Helping Business Respond To Cost Pressures And Realize Efficiency Gains

A couple of years back, The Semantic Web Blog visited with Vijay Bulusu to gain some insight into how pharma giant Pfizer Inc. was moving forward with semantic technology (see article here). At last week’s Semantic Technology and Business Conference in New York City, Bulusu, director, informatics and innovation at Pfizer, provided additional perspective on the issue – first, during the presentation on Using Linked Semantic Data in Biomedical Research and Pharmaceuticals (see coverage of that here), and then in a follow-up conversation.

A struggle for pharma companies, Bulusu notes, sits in driving standards for data that exists across system silos, so it is broadly applicable across groups. A transaction like creating a batch of materials, doing analytical testing on it and enabling clinical trial releases is the work of multiple groups of people in departments like R&D entering data across different systems.

The foundational layer needed to support data aggregation in a persistent graph semantic database and visualization with collaborative, semantic knowledge maps “is all about data already in transactional, silo’d systems,” Bulusu says. “We want to make sure that across those systems, key data is entered consistently for entities.” That means limiting them to selecting via a drop-down list from a vocabulary that is consistently managed and published from a single source to all these transaction systems, so the same entity is called by the same name as it traverses systems to support analytics and other requirements. That, he says, “is where we directly impact the day-to-day operational work of users.”

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Stardog 1.0.2 Released by C&P

C&P has released an update to Stardog, a NoSQL graph database. The article states, “C&P LLC, the company behind Stardog, today announced the release of Stardog 1.0.2. Stardog is a NoSQL graph database based on W3C semantic web standards: SPARQL, RDF, and OWL. Stardog is a key component in Linked Data-based information integration at Fortune 500 enterprises and governments around the world. The new release follows closely on last month’s launch of Stardog 1.0. The 1.0.2 release includes Stardog Community, a free version of Stardog for community use in academia, non-profit, and related sectors. Stardog is being used by customers in the areas of government, aerospace, financial, intelligence, defense, and at consumer-oriented startups.” Read more

Stardog 1.0 Released

Kendall Clark of Clark & Parsia has announced the release of Stardog 1.0. Clark opines that this release is “the fastest, smartest, and easiest to use RDF database on the planet. Stardog fills a hole in the Semantic Technology (and NoSQL database) market for an RDF database that is fast, zero config, lightweight, and feature-rich. RDF and OWL are excellent technologies for building data integration and analysis apps. Those apps invariably require complex query processing, i.e., queries where there are lots of joins, complex logical conditions to evaluate, etc. Stardog is targeted at query performance for complex SPARQL queries. We publish performance data so you can see how we’re doing.” Read more

Stardog RDF Database Bites Into Fat Part Of The Market

Clark & Parsia’s Stardog lightweight RDF database is moving into release candidate 1.0 mode just in time for next week’s upcoming Semantic Technology & Business Conference in San Francisco next week. The product’s been stable and useable for awhile now, but a 1.0 nomenclature still carries weight with a good number of IT buyers.

The focus for the product, says cofounder and managing principal Kendall Clark, is to be optimized for what he says is the fat part of the market – and that’s not the part that is dealing with a trillion RDF triples. “Most people and organizations don’t need to scale to trillions of anything,” though scaling up, and up, and up, is where most of Clark & Parsia’s competitors have focused their attention, he says. “We’ve seen a significant percentage of what people are doing with semantic technology and most applications are not at a billion triples today.” Take as an example Clark & Parsia’s customer, NASA, which built an expertise location system based on semantic technology that today is still not more than 20 million triples. “You might say that’s a little toy but not if you are at NASA and need defined experts, it is a real, valuable thing and we see this all the time,” he says.

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