Difference between revisions of " Main Page"

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Welcome to the Blazegraph wiki.  Also see our [https://blog.blazegraph.com/ blog] for news and [http://www.systap.com/ SYSTAP] for support options.  Sign up for our mailing list to keep in touch with all of the latest developments. [http://eepurl.com/VLpUj Sign Up]
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<div class="heading"><span>Introduction</span></div>
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<p>'''[[About_Blazegraph|Blazegraph™]] Database''' is a flagship product of [http://blazegraph.com/ Blazegraph]. It is a market leader in providing high performance, scalable solutions for graphs.  [http://eepurl.com/brRrnT Sign Up] to stay in touch with the latest releases and product information.</p>
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<p>'''[https://www.blazegraph.com/download Download Now]'''</p>
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</div>
  
----
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<div class="excerpt">
<rss max="2" highlight="Blazegraph News">https://blog.blazegraph.com/?feed=rss2</rss>
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<div class="heading"><span>Quick Start</span></div>
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<p>'''[https://www.blazegraph.com/download Get Blazegraph now!]'''</p>
* Project
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<p>'''[[Quick_Start|Getting Started Guide]]''' provides installation instructions and a quick jump into Blazegraph™. You will be able to setup development environment, load data and run SPARQL queries. </p>
** [http://www.blazegraph.com/blog Blazegraph blog - links to whitepapers and more]
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<p>'''[[First_Application_Tutorial|First Application Tutorial]]''' will guide you through the process of adding Blazegraph™ components to your application. </p>
** [http://sourceforge.net/projects/bigdata/ Blazegraph project on SourceForge]
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* General
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** [[FeatureMatrix]] What are the features of Blazegraph?
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** [[GettingStarted]] (How to get started with bigdata as an embedded RDF/graph Database)
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** [[NanoSparqlServer]] (Using Bigdata with the NanoSparqlServer (Simple REST API) - this is the recommended approach for embedded or standalone deployments. Also see [[JettyHttpClient]].)
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** [[HAJournalServer]] (A highly available replication cluster based on the scale-up Journal database backend)
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** [[HALoadBalancer]] (Background on how to setup load balancing for the [[HAJournalServer]])
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** [[GroupCommit]] (Concurrent writers on different namespaces and group commit)
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<div class="heading"><span>Scalability</span></div>
** [[Using Bigdata with the OpenRDF Sesame HTTP Server]] (The OpenRDF Sesame Server deployment can be tricky. The NanoSparqlServer is much easier and offers non-blocking query.)
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<p>'''[[ClusterGuide|Scalability]]''' of the Blazegraph product covers all application needs starting from small applications with [[Sesame_API_embedded_mode|embedded storages]], to larger [[NanoSparqlServer|standalone applications]], and up to 50B statements stored in [[NanoSparqlServer|NanoSparqlServer]]. There are different operating modes (triples, provenance, and quads), and 100s of configuration options.</p>
** [[UsingBlueprints]]
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</div>
** [[CommonProblems]] (FAQ for common problems and how to solve them.)
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** [[MavenRepository]] (The bigdata maven repository)
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** [[DataMigration]] (A page dedicated to data migration.)
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</div>
** [[SesameAPICompliance]] (Notes on compliance with the Sesame API)
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* Bigdata Sparql Extensions
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** [[FullTextSearch]] (The Bigdata integrated Full Text Search Facility.)
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** [[AnalyticQuery]] (The Bigdata Analytic Query mode.)
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** [[VirtualGraphs]] (Using virtual graphs with SPARQL query.)
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** [[QueryHints]] (Using Bigdata Query hints with SPARQL 1.1.)
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** [[NamedSubquery]] (A SPARQL extension for pre-computing solution sets which are reused within a query.)
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** [[SPARQL_Update]] (Bigdata extensions to SPARQL UPDATE, including durable named solution sets.)
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<div class="heading"><span>News</span></div>
** [[FederatedQuery]] (SPARQL 1.1 Basic Federated Query, Query Hints, and '''Custom Service''' Integration.)
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** [[StoredQuery]] (Custom application logic that runs on the database and is invoked using SERVICE.)
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<rss max="2" highlight="Blazegraph News">http://blog.blazegraph.com/?feed=rss2</rss>
** [[PropertyPaths]] (Extension for SPARQL Property Paths, including minimum hop, maximum hop, and binding the vertices for the visited path - also see [[RDF GAS API]].)
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</p>
** [[CustomFunction]] (A guide to writing custom functions for bigdata.)
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** [[InlineIVs]] (A guide to creating custom Inline Values for improved performance.)
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** [[LinkedData]] (A guide to the linked data features in bigdata.)
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</div>
** [[InferenceAndTruthMaintenance]] (A guide to the use of inference and truth maintenance.)
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</div>
** [[Reification Done Right]] (A guide to using efficient statements about statements in bigdata.  Aka RDF* and SPARQL*)
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* Graph Mining
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** [[RDF GAS API]] (Overview of the RDF Graph Mining API - also see [[PropertyPaths]])
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* Optimization and Benchmarks
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** [[PerformanceOptimization]] (General background on performance tuning for bigdata)
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** [[IOOptimization]] (How to tune IO performance, SSD, branching factors, etc.)
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** [[QueryOptimization]] (SPARQL specific query performance tricks and tips)
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** [[SPARQL Benchmarks]] (Provides some guidance on how to run the LUBM and BSBM benchmarks with bigdata.)
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* Scale-out Cluster (IBigdataFederation)
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** [[ClusterSetupGuide]]  (Provides an example of OS level configuration for Fedora core 10)
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** [[ClusterSetupGuide_CentOS_5_3]] (Provides an example of OS level configuration for CentOS 5.3/5.4)
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** [[MiniCluster]] (Setup guide for a cluster of Intel Mac Minis)
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** [[ClusterGuide]]  (Configuration guide for bigdata once the cluster is setup)
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** [[ClusterStartupFAQ]] (Guide to resolving issues when trying to start a bigdata federation).
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** [[SingleMachineCluster]] (Guide to setup and run a bigdata federation on a single node.)
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** [[ScaleOutCI]] (Notes on running unit tests against a single-node, 2-DS federation.)
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* Deeper Background
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** [[StandaloneGuide]] (Comparison of the standalone database modes.)
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** [[BTreeGuide]]
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** [[TxGuide]]
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** [[Striterators]]
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** [[RWStore]] and [[MemoryManager]]
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** [[RetentionHistory]]
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** [[Unicode]] (Internationalization and Unicode related issues)
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* Deployment
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** [[Hardware Configuration]]
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* Developers
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** [[Roadmap]] (Provides an overview of where we are going in the next few releases.)
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** [[Submitting Bugs]] (How to submit bugs so we will get to them more quickly.)
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** [[Contributors]] (Guidance for people who are bigdata® contributors.)
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** [[ReleaseGuide]] (Notes to the project maintainers on the release process.)
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** [[MavenNotes]] (Notes on the mavenization of bigdata, which is currently under way in a branch.)
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** [[Branches]] (How to work with feature development branches.)
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** [http://www.bigdata.com/docs/api Javadoc/API]
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Latest revision as of 22:41, 29 August 2017

Introduction

Blazegraph™ Database is a flagship product of Blazegraph. It is a market leader in providing high performance, scalable solutions for graphs. Sign Up to stay in touch with the latest releases and product information.

Download Now

Quick Start

Get Blazegraph now!

Getting Started Guide provides installation instructions and a quick jump into Blazegraph™. You will be able to setup development environment, load data and run SPARQL queries.

First Application Tutorial will guide you through the process of adding Blazegraph™ components to your application.

Scalability

Scalability of the Blazegraph product covers all application needs starting from small applications with embedded storages, to larger standalone applications, and up to 50B statements stored in NanoSparqlServer. There are different operating modes (triples, provenance, and quads), and 100s of configuration options.