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DBMS > Blazegraph vs. Google Cloud Bigtable vs. H2GIS vs. SpaceTime vs. SWC-DB

System Properties Comparison Blazegraph vs. Google Cloud Bigtable vs. H2GIS vs. SpaceTime vs. SWC-DB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonSpaceTime  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2SpaceTime is a spatio-temporal DBMS with a focus on performance.A high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Spatial DBMSSpatial DBMSWide column store
Secondary database modelsRelational DBMSRelational DBMSTime 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
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteblazegraph.comcloud.google.com/­bigtablewww.h2gis.orgwww.mireo.com/­spacetimegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwiki.blazegraph.comcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­home
DeveloperBlazegraphGoogleCNRSMireoAlex Kashirin
Initial release20062015201320202020
Current release2.1.5, March 20190.5, April 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoLGPL 3.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesyes
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyesA subset of ANSI SQL is implementedSQL-like query language
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)
RESTful HTTP APIProprietary protocol
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC#
C++
Python
C++
Server-side scripts infoStored proceduresyesnoyes infobased on H2nono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Real-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
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)yes infobased on H2yes

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More resources
BlazegraphGoogle Cloud BigtableH2GISSpaceTimeSWC-DB infoSuper Wide Column Database
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