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DBMS > Blazegraph vs. Google Cloud Bigtable vs. Hypertable vs. SiteWhere

System Properties Comparison Blazegraph vs. Google Cloud Bigtable vs. Hypertable vs. SiteWhere

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonSiteWhere  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source BigTable implementation based on distributed file systems such as HadoopM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Wide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websiteblazegraph.comcloud.google.com/­bigtablegithub.com/­sitewhere/­sitewhere
Technical documentationwiki.blazegraph.comcloud.google.com/­bigtable/­docssitewhere1.sitewhere.io/­index.html
DeveloperBlazegraphGoogleHypertable Inc.SiteWhere
Initial release2006201520092010
Current release2.1.5, March 20190.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyes infoRDF literal typesnonoyes
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.nono
Secondary indexesyesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
HTTP REST
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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)noUsers with fine-grained authorization concept

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More resources
BlazegraphGoogle Cloud BigtableHypertableSiteWhere
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