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DBMS > Blazegraph vs. GigaSpaces vs. HugeGraph vs. SiteWhere vs. Spark SQL

System Properties Comparison Blazegraph vs. GigaSpaces vs. HugeGraph vs. SiteWhere vs. Spark SQL

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHugeGraph  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA fast-speed and highly-scalable Graph DBMSM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMSTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblazegraph.comwww.gigaspaces.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­sitewhere/­sitewherespark.apache.org/­sql
Technical documentationwiki.blazegraph.comdocs.gigaspaces.com/­latest/­landing.htmlhugegraph.apache.org/­docssitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBlazegraphGigaspaces TechnologiesBaiduSiteWhereApache Software Foundation
Initial release20062000201820102014
Current release2.1.5, March 201915.5, September 20200.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaJavaScala
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLSPARQL is used as query languageSQL-99 for query and DML statementsnonoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP RESTJDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Groovy
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesasynchronous Gremlin script jobsno
Triggersnoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlUsers, roles and permissionsUsers with fine-grained authorization conceptno

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BlazegraphGigaSpacesHugeGraphSiteWhereSpark SQL
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