Blazegraphtm Blazegraphtm is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates.

Blazegraphtm is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates. SPARQL UPDATE performance gain. An easy win with the right data structure. We had reports of a performance slowdown for SPARQL UPDATE INSERTDELETE WHERE queries. DELETE . INSERT . WHERE . For example, you can observe this using the following SPARQL UPDATE request against a data set with 100k or more instances of rdflabel. O INSERT ? O WHERE ?

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LINKS TO WEB SITE

Blazegraph Blazegraph is ultra-scalable, high-performance graph database with support for the Blueprints and RDFSPARQL APIs. It supports high availability, scale-out, and GPU acceleration.

Scales to 50B edges per node. Embedded, single-server, HA, and scale-out. Developer and production support Buy. Scales to 50B edges per node. Embedded, single-server, HA, and scale-out. Developer and production support Buy.

Blazegraph Documentation at Github

It supports up to 50 Billion edges on a single machine and has a High Availability and Scale-out architecture. It is in production use for Fortune 500 customers such as EMC, Autodesk, and many others. See the latest Feature Matrix.

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BLOG.BLAZEGRAPH.COM HOST

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PAGE TITLE

Blazegraphtm Blazegraphtm is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates.

DESCRIPTION

Blazegraphtm is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates. SPARQL UPDATE performance gain. An easy win with the right data structure. We had reports of a performance slowdown for SPARQL UPDATE INSERTDELETE WHERE queries. DELETE . INSERT . WHERE . For example, you can observe this using the following SPARQL UPDATE request against a data set with 100k or more instances of rdflabel. O INSERT ? O WHERE ?

CONTENT

This web page blog.blazegraph.com states the following, "Blazegraphtm is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates." We saw that the website also said " An easy win with the right data structure." It also said " We had reports of a performance slowdown for SPARQL UPDATE INSERTDELETE WHERE queries. For example, you can observe this using the following SPARQL UPDATE request against a data set with 100k or more instances of rdflabel. O INSERT ? O WHERE ?."

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