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DBMS > Blazegraph vs. Elasticsearch vs. Google Cloud Spanner vs. Graph Engine

System Properties Comparison Blazegraph vs. Elasticsearch vs. Google Cloud Spanner vs. Graph Engine

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelGraph DBMS
RDF store
Search engineRelational DBMSGraph DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score128.79
Rank#8  Overall
#1  Search engines
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Websiteblazegraph.comwww.elastic.co/­elasticsearchcloud.google.com/­spannerwww.graphengine.io
Technical documentationwiki.blazegraph.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­spanner/­docswww.graphengine.io/­docs/­manual
DeveloperBlazegraphElasticGoogleMicrosoft
Initial release2006201020172010
Current release2.1.5, March 20198.6, January 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoElastic LicensecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava.NET and C
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhosted.NET
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesyesnoyes
Triggersnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BlazegraphElasticsearchGoogle Cloud SpannerGraph Engine infoformer name: Trinity
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Recent citations in the news

Video: Blazegraph Accelerates Graph Computing with GPUs
20 December 2015, insideHPC

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Trinity
30 October 2010, Microsoft

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27 July 2016, GeekWire

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