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DBMS > Blazegraph vs. Google Cloud Bigtable vs. H2GIS vs. Hive vs. SpaceTime

System Properties Comparison Blazegraph vs. Google Cloud Bigtable vs. H2GIS vs. Hive vs. SpaceTime

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonHive  Xexclude from comparisonSpaceTime  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 H2data warehouse software for querying and managing large distributed datasets, built on HadoopSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Spatial DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMSRelational 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
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Websiteblazegraph.comcloud.google.com/­bigtablewww.h2gis.orghive.apache.orgwww.mireo.com/­spacetime
Technical documentationwiki.blazegraph.comcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperBlazegraphGoogleCNRSApache Software Foundation infoinitially developed by FacebookMireo
Initial release20062015201320122020
Current release2.1.5, March 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoLGPL 3.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC++
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesyesyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-like DML and DDL statementsA subset of ANSI SQL is implemented
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)
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC++
Java
PHP
Python
C#
C++
Python
Server-side scripts infoStored proceduresyesnoyes infobased on H2yes infouser defined functions and integration of map-reduceno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2selectable replication factorReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoquery execution via MapReduceno
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDnono
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.noyesno
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 H2Access rights for users, groups and rolesyes

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More resources
BlazegraphGoogle Cloud BigtableH2GISHiveSpaceTime
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